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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2308.06480 | Yunshan Ma | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng
Chua | Context-aware Event Forecasting via Graph Disentanglement | KDD 2023, 9 pages, 7 figures, 4 tables | null | 10.1145/3580305.3599285 | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Event forecasting has been a demanding and challenging task throughout the
entire human history. It plays a pivotal role in crisis alarming and disaster
prevention in various aspects of the whole society. The task of event
forecasting aims to model the relational and temporal patterns based on
historical events and m... | [
{
"created": "Sat, 12 Aug 2023 06:23:41 GMT",
"version": "v1"
}
] | 2023-08-15 | [
[
"Ma",
"Yunshan",
""
],
[
"Ye",
"Chenchen",
""
],
[
"Wu",
"Zijian",
""
],
[
"Wang",
"Xiang",
""
],
[
"Cao",
"Yixin",
""
],
[
"Chua",
"Tat-Seng",
""
]
] | Event forecasting has been a demanding and challenging task throughout the entire human history. It plays a pivotal role in crisis alarming and disaster prevention in various aspects of the whole society. The task of event forecasting aims to model the relational and temporal patterns based on historical events and mak... |
2104.05091 | Daniel Ting | Daniel Ting | Simple, Optimal Algorithms for Random Sampling Without Replacement | null | null | null | null | cs.DS stat.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider the fundamental problem of drawing a simple random sample of size k
without replacement from [n] := {1, . . . , n}. Although a number of classical
algorithms exist for this problem, we construct algorithms that are even
simpler, easier to implement, and have optimal space and time complexity.
| [
{
"created": "Sun, 11 Apr 2021 20:06:13 GMT",
"version": "v1"
}
] | 2021-04-13 | [
[
"Ting",
"Daniel",
""
]
] | Consider the fundamental problem of drawing a simple random sample of size k without replacement from [n] := {1, . . . , n}. Although a number of classical algorithms exist for this problem, we construct algorithms that are even simpler, easier to implement, and have optimal space and time complexity. |
1609.05561 | Ricardo Fabbri | Anil Usumezbas and Ricardo Fabbri and Benjamin B. Kimia | From Multiview Image Curves to 3D Drawings | Expanded ECCV 2016 version with tweaked figures and including an
overview of the supplementary material available at
multiview-3d-drawing.sourceforge.net | Lecture Notes in Computer Science, 9908, pp 70-87, september 2016 | 10.1007/978-3-319-46493-0_5 | null | cs.CV cs.CG cs.GR cs.RO | http://creativecommons.org/licenses/by/4.0/ | Reconstructing 3D scenes from multiple views has made impressive strides in
recent years, chiefly by correlating isolated feature points, intensity
patterns, or curvilinear structures. In the general setting - without
controlled acquisition, abundant texture, curves and surfaces following
specific models or limiting ... | [
{
"created": "Sun, 18 Sep 2016 22:20:35 GMT",
"version": "v1"
}
] | 2016-09-20 | [
[
"Usumezbas",
"Anil",
""
],
[
"Fabbri",
"Ricardo",
""
],
[
"Kimia",
"Benjamin B.",
""
]
] | Reconstructing 3D scenes from multiple views has made impressive strides in recent years, chiefly by correlating isolated feature points, intensity patterns, or curvilinear structures. In the general setting - without controlled acquisition, abundant texture, curves and surfaces following specific models or limiting sc... |
2407.11861 | Muzhaffar Hazman | Muzhaffar Hazman, Susan McKeever, Josephine Griffith | What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset
Creation | Accepted for Publication at AAAI-ICWSM 2025 | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Warning: This paper contains memes that may be offensive to some readers.
Multimodal Internet Memes are now a ubiquitous fixture in online discourse.
One strand of meme-based research is the classification of memes according to
various affects, such as sentiment and hate, supported by manually compiled
meme dataset... | [
{
"created": "Tue, 16 Jul 2024 15:48:36 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Hazman",
"Muzhaffar",
""
],
[
"McKeever",
"Susan",
""
],
[
"Griffith",
"Josephine",
""
]
] | Warning: This paper contains memes that may be offensive to some readers. Multimodal Internet Memes are now a ubiquitous fixture in online discourse. One strand of meme-based research is the classification of memes according to various affects, such as sentiment and hate, supported by manually compiled meme datasets. U... |
1911.06985 | Dominik K\"oppl | Hideo Bannai and Juha K\"arkk\"ainen and Dominik K\"oppl and Marcin
Pi\c{a}tkowski | Constructing the Bijective and the Extended Burrows-Wheeler Transform in
Linear Time | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Burrows-Wheeler transform (BWT) is a permutation whose applications are
prevalent in data compression and text indexing. The bijective BWT (BBWT) is a
bijective variant of it. Although it is known that the BWT can be constructed
in linear time for integer alphabets by using a linear time suffix array
construction... | [
{
"created": "Sat, 16 Nov 2019 08:04:25 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Apr 2021 06:48:12 GMT",
"version": "v2"
}
] | 2021-04-23 | [
[
"Bannai",
"Hideo",
""
],
[
"Kärkkäinen",
"Juha",
""
],
[
"Köppl",
"Dominik",
""
],
[
"Picatkowski",
"Marcin",
""
]
] | The Burrows-Wheeler transform (BWT) is a permutation whose applications are prevalent in data compression and text indexing. The bijective BWT (BBWT) is a bijective variant of it. Although it is known that the BWT can be constructed in linear time for integer alphabets by using a linear time suffix array construction a... |
1909.06251 | Eric Horton | Eric Horton, Chris Parnin | V2: Fast Detection of Configuration Drift in Python | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Code snippets are prevalent, but are hard to reuse because they often lack an
accompanying environment configuration. Most are not actively maintained,
allowing for drift between the most recent possible configuration and the code
snippet as the snippet becomes out-of-date over time. Recent work has
identified the pr... | [
{
"created": "Fri, 13 Sep 2019 14:25:06 GMT",
"version": "v1"
}
] | 2019-09-16 | [
[
"Horton",
"Eric",
""
],
[
"Parnin",
"Chris",
""
]
] | Code snippets are prevalent, but are hard to reuse because they often lack an accompanying environment configuration. Most are not actively maintained, allowing for drift between the most recent possible configuration and the code snippet as the snippet becomes out-of-date over time. Recent work has identified the prob... |
2310.12337 | Luke Geeson | Luke Geeson, Lee Smith | Compiler Testing With Relaxed Memory Models | 12 pages, Accepted to IEEE/ACM International Symposium on Code
Generation and Optimization | null | null | null | cs.PL cs.AR cs.SE | http://creativecommons.org/licenses/by-sa/4.0/ | Finding bugs is key to the correctness of compilers in wide use today. If the
behaviour of a compiled program, as allowed by its architecture memory model,
is not a behaviour of the source program under its source model, then there is
a bug. This holds for all programs, but we focus on concurrency bugs that occur
onl... | [
{
"created": "Wed, 18 Oct 2023 21:24:26 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2023 17:02:39 GMT",
"version": "v2"
},
{
"created": "Mon, 29 Jan 2024 20:38:43 GMT",
"version": "v3"
}
] | 2024-01-31 | [
[
"Geeson",
"Luke",
""
],
[
"Smith",
"Lee",
""
]
] | Finding bugs is key to the correctness of compilers in wide use today. If the behaviour of a compiled program, as allowed by its architecture memory model, is not a behaviour of the source program under its source model, then there is a bug. This holds for all programs, but we focus on concurrency bugs that occur only ... |
2203.14814 | Raghul Parthipan | Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking, Damon J.
Wischik | Using Probabilistic Machine Learning to Better Model Temporal Patterns
in Parameterizations: a case study with the Lorenz 96 model | Submitted to Geoscientific Model Development (GMD). 26 pages, 10
figures. The manuscript was revised following helpful comments from the
reviewers after rejection from the Journal of Advances in Modeling Earth
Systems (JAMES). These included further experimental results and changes to
the narrative, amongst oth... | null | null | null | cs.LG physics.ao-ph | http://creativecommons.org/licenses/by/4.0/ | The modelling of small-scale processes is a major source of error in climate
models, hindering the accuracy of low-cost models which must approximate such
processes through parameterization. Red noise is essential to many operational
parameterization schemes, helping model temporal correlations. We show how to
build ... | [
{
"created": "Mon, 28 Mar 2022 14:51:42 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Sep 2022 23:56:19 GMT",
"version": "v2"
},
{
"created": "Fri, 9 Sep 2022 10:17:37 GMT",
"version": "v3"
},
{
"created": "Mon, 12 Sep 2022 11:01:05 GMT",
"version": "v4"
}
] | 2022-09-13 | [
[
"Parthipan",
"Raghul",
""
],
[
"Christensen",
"Hannah M.",
""
],
[
"Hosking",
"J. Scott",
""
],
[
"Wischik",
"Damon J.",
""
]
] | The modelling of small-scale processes is a major source of error in climate models, hindering the accuracy of low-cost models which must approximate such processes through parameterization. Red noise is essential to many operational parameterization schemes, helping model temporal correlations. We show how to build on... |
2211.02348 | Nasim Rahaman | Nasim Rahaman and Martin Weiss and Frederik Tr\"auble and Francesco
Locatello and Alexandre Lacoste and Yoshua Bengio and Chris Pal and Li Erran
Li and Bernhard Sch\"olkopf | A General Purpose Neural Architecture for Geospatial Systems | Presented at AI + HADR Workshop at NeurIPS 2022 | null | null | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | Geospatial Information Systems are used by researchers and Humanitarian
Assistance and Disaster Response (HADR) practitioners to support a wide variety
of important applications. However, collaboration between these actors is
difficult due to the heterogeneous nature of geospatial data modalities (e.g.,
multi-spectra... | [
{
"created": "Fri, 4 Nov 2022 09:58:57 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Rahaman",
"Nasim",
""
],
[
"Weiss",
"Martin",
""
],
[
"Träuble",
"Frederik",
""
],
[
"Locatello",
"Francesco",
""
],
[
"Lacoste",
"Alexandre",
""
],
[
"Bengio",
"Yoshua",
""
],
[
"Pal",
"Chris",
""
],
... | Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to support a wide variety of important applications. However, collaboration between these actors is difficult due to the heterogeneous nature of geospatial data modalities (e.g., multi-spectral ... |
2005.13749 | Shuangyi Wang | Shuangyi Wang, Xilong Hou, Richard Housden, Zengguang Hou, Davinder
Singh, Kawal Rhode | IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound
Probe via LAN and 5G | 9 pages, 5 figures, to be submitted to MICCAI ASMUS 2020 workshop | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A robotic trans-esophageal echocardiography (TEE) probe has been recently
developed to address the problems with manual control in the X-ray envi-ronment
when a conventional probe is used for interventional procedure guidance.
However, the robot was exclusively to be used in local areas and the
effectiveness of remot... | [
{
"created": "Thu, 28 May 2020 02:43:31 GMT",
"version": "v1"
}
] | 2020-05-29 | [
[
"Wang",
"Shuangyi",
""
],
[
"Hou",
"Xilong",
""
],
[
"Housden",
"Richard",
""
],
[
"Hou",
"Zengguang",
""
],
[
"Singh",
"Davinder",
""
],
[
"Rhode",
"Kawal",
""
]
] | A robotic trans-esophageal echocardiography (TEE) probe has been recently developed to address the problems with manual control in the X-ray envi-ronment when a conventional probe is used for interventional procedure guidance. However, the robot was exclusively to be used in local areas and the effectiveness of remote ... |
1512.02727 | MohammadHossein Bateni | Kevin Aydin and MohammadHossein Bateni and Vahab Mirrokni | Distributed Balanced Partitioning via Linear Embedding | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Balanced partitioning is often a crucial first step in solving large-scale
graph optimization problems, e.g., in some cases, a big graph can be chopped
into pieces that fit on one machine to be processed independently before
stitching the results together. In other cases, links between different parts
may show up in ... | [
{
"created": "Wed, 9 Dec 2015 02:44:51 GMT",
"version": "v1"
}
] | 2015-12-10 | [
[
"Aydin",
"Kevin",
""
],
[
"Bateni",
"MohammadHossein",
""
],
[
"Mirrokni",
"Vahab",
""
]
] | Balanced partitioning is often a crucial first step in solving large-scale graph optimization problems, e.g., in some cases, a big graph can be chopped into pieces that fit on one machine to be processed independently before stitching the results together. In other cases, links between different parts may show up in th... |
2408.04767 | Zachary Daniels | Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der
Wal, Michael Isnardi, Michael Piacentino, David Zhang | Data-Driven Pixel Control: Challenges and Prospects | Accepted to the Conference on Dynamic Data-Driven Applications
Systems (DDDAS2024) | null | null | null | cs.CV cs.AI cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent advancements in sensors have led to high resolution and high data
throughput at the pixel level. Simultaneously, the adoption of increasingly
large (deep) neural networks (NNs) has lead to significant progress in computer
vision. Currently, visual intelligence comes at increasingly high computational
complexit... | [
{
"created": "Thu, 8 Aug 2024 21:49:19 GMT",
"version": "v1"
}
] | 2024-08-12 | [
[
"Farkya",
"Saurabh",
""
],
[
"Daniels",
"Zachary Alan",
""
],
[
"Raghavan",
"Aswin",
""
],
[
"van der Wal",
"Gooitzen",
""
],
[
"Isnardi",
"Michael",
""
],
[
"Piacentino",
"Michael",
""
],
[
"Zhang",
"David",
... | Recent advancements in sensors have led to high resolution and high data throughput at the pixel level. Simultaneously, the adoption of increasingly large (deep) neural networks (NNs) has lead to significant progress in computer vision. Currently, visual intelligence comes at increasingly high computational complexity,... |
2205.02689 | Cam Nguyen Van | Van-Cam Nguyen, Hong-Tuan-Dinh Le, Huu-Thuan Huynh | Hardware System Implementation for Human Detection using HOG and SVM
Algorithm | null | null | null | null | cs.AR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human detection is a popular issue and has been widely used in many
applications. However, including complexities in computation, leading to the
human detection system implemented hardly in real-time applications. This paper
presents the architecture of hardware, a human detection system that was
simulated in the Mod... | [
{
"created": "Thu, 5 May 2022 14:54:37 GMT",
"version": "v1"
}
] | 2022-05-06 | [
[
"Nguyen",
"Van-Cam",
""
],
[
"Le",
"Hong-Tuan-Dinh",
""
],
[
"Huynh",
"Huu-Thuan",
""
]
] | Human detection is a popular issue and has been widely used in many applications. However, including complexities in computation, leading to the human detection system implemented hardly in real-time applications. This paper presents the architecture of hardware, a human detection system that was simulated in the Model... |
2205.10475 | Chenguang Wang | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song | DeepStruct: Pretraining of Language Models for Structure Prediction | ACL 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | We introduce a method for improving the structural understanding abilities of
language models. Unlike previous approaches that finetune the models with
task-specific augmentation, we pretrain language models on a collection of
task-agnostic corpora to generate structures from text. Our structure
pretraining enables z... | [
{
"created": "Sat, 21 May 2022 00:58:22 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Mar 2023 00:49:01 GMT",
"version": "v2"
}
] | 2023-03-07 | [
[
"Wang",
"Chenguang",
""
],
[
"Liu",
"Xiao",
""
],
[
"Chen",
"Zui",
""
],
[
"Hong",
"Haoyun",
""
],
[
"Tang",
"Jie",
""
],
[
"Song",
"Dawn",
""
]
] | We introduce a method for improving the structural understanding abilities of language models. Unlike previous approaches that finetune the models with task-specific augmentation, we pretrain language models on a collection of task-agnostic corpora to generate structures from text. Our structure pretraining enables zer... |
2107.04236 | Zahra Fahimi | Z. Fahimi, M. R. Mahmoodi, M. Klachko, H. Nili, H. Kim, and D. B.
Strukov | Mitigating Imperfections in Mixed-Signal Neuromorphic Circuits | null | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The progress in neuromorphic computing is fueled by the development of novel
nonvolatile memories capable of storing analog information and implementing
neural computation efficiently. However, like most other analog circuits, these
devices and circuits are prone to imperfections, such as temperature
dependency, nois... | [
{
"created": "Fri, 9 Jul 2021 06:18:03 GMT",
"version": "v1"
}
] | 2021-07-12 | [
[
"Fahimi",
"Z.",
""
],
[
"Mahmoodi",
"M. R.",
""
],
[
"Klachko",
"M.",
""
],
[
"Nili",
"H.",
""
],
[
"Kim",
"H.",
""
],
[
"Strukov",
"D. B.",
""
]
] | The progress in neuromorphic computing is fueled by the development of novel nonvolatile memories capable of storing analog information and implementing neural computation efficiently. However, like most other analog circuits, these devices and circuits are prone to imperfections, such as temperature dependency, noise,... |
2401.04729 | Joshua Holstein | Philipp Spitzer and Joshua Holstein and Patrick Hemmer and Michael
V\"ossing and Niklas K\"uhl and Dominik Martin and Gerhard Satzger | On the Effect of Contextual Information on Human Delegation Behavior in
Human-AI collaboration | null | null | null | null | cs.HC cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The constantly increasing capabilities of artificial intelligence (AI) open
new possibilities for human-AI collaboration. One promising approach to
leverage existing complementary capabilities is allowing humans to delegate
individual instances to the AI. However, enabling humans to delegate instances
effectively req... | [
{
"created": "Tue, 9 Jan 2024 18:59:47 GMT",
"version": "v1"
}
] | 2024-01-10 | [
[
"Spitzer",
"Philipp",
""
],
[
"Holstein",
"Joshua",
""
],
[
"Hemmer",
"Patrick",
""
],
[
"Vössing",
"Michael",
""
],
[
"Kühl",
"Niklas",
""
],
[
"Martin",
"Dominik",
""
],
[
"Satzger",
"Gerhard",
""
]
] | The constantly increasing capabilities of artificial intelligence (AI) open new possibilities for human-AI collaboration. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances to the AI. However, enabling humans to delegate instances effectively requi... |
2402.04249 | Mantas Mazeika | Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman
Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan
Hendrycks | HarmBench: A Standardized Evaluation Framework for Automated Red Teaming
and Robust Refusal | Website: https://www.harmbench.org | null | null | null | cs.LG cs.AI cs.CL cs.CV | http://creativecommons.org/licenses/by/4.0/ | Automated red teaming holds substantial promise for uncovering and mitigating
the risks associated with the malicious use of large language models (LLMs),
yet the field lacks a standardized evaluation framework to rigorously assess
new methods. To address this issue, we introduce HarmBench, a standardized
evaluation ... | [
{
"created": "Tue, 6 Feb 2024 18:59:08 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Feb 2024 04:43:08 GMT",
"version": "v2"
}
] | 2024-02-28 | [
[
"Mazeika",
"Mantas",
""
],
[
"Phan",
"Long",
""
],
[
"Yin",
"Xuwang",
""
],
[
"Zou",
"Andy",
""
],
[
"Wang",
"Zifan",
""
],
[
"Mu",
"Norman",
""
],
[
"Sakhaee",
"Elham",
""
],
[
"Li",
"Nathaniel... | Automated red teaming holds substantial promise for uncovering and mitigating the risks associated with the malicious use of large language models (LLMs), yet the field lacks a standardized evaluation framework to rigorously assess new methods. To address this issue, we introduce HarmBench, a standardized evaluation fr... |
2405.07180 | Hoang Dau | Thi Xinh Dinh, Ba Thong Le, Son Hoang Dau, Serdar Boztas, Stanislav
Kruglik, Han Mao Kiah, Emanuele Viterbo, Tuvi Etzion, and Yeow Meng Chee | Repairing Reed-Solomon Codes with Side Information | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We generalize the problem of recovering a lost/erased symbol in a
Reed-Solomon code to the scenario in which some side information about the lost
symbol is known. The side information is represented as a set $S$ of linearly
independent combinations of the sub-symbols of the lost symbol. When $S =
\varnothing$, this r... | [
{
"created": "Sun, 12 May 2024 06:48:24 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Dinh",
"Thi Xinh",
""
],
[
"Le",
"Ba Thong",
""
],
[
"Dau",
"Son Hoang",
""
],
[
"Boztas",
"Serdar",
""
],
[
"Kruglik",
"Stanislav",
""
],
[
"Kiah",
"Han Mao",
""
],
[
"Viterbo",
"Emanuele",
""
],
[
... | We generalize the problem of recovering a lost/erased symbol in a Reed-Solomon code to the scenario in which some side information about the lost symbol is known. The side information is represented as a set $S$ of linearly independent combinations of the sub-symbols of the lost symbol. When $S = \varnothing$, this red... |
2110.04639 | Sami Fakhry | Sami Fakhry (1 and 2) and Romain Couillet (1 and 2 and 3) and Malik
Tiomoko (1 and 2) ((1) GIPSA-Lab, (2) Grenoble-Alps University, (3) LIG-Lab) | Multi-task learning on the edge: cost-efficiency and theoretical
optimality | 4 pages, 5 figures, code to reproduce figure available at:
https://github.com/Sami-fak/DistributedMTLSPCA | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article proposes a distributed multi-task learning (MTL) algorithm based
on supervised principal component analysis (SPCA) which is: (i) theoretically
optimal for Gaussian mixtures, (ii) computationally cheap and scalable.
Supporting experiments on synthetic and real benchmark data demonstrate that
significant e... | [
{
"created": "Sat, 9 Oct 2021 19:59:02 GMT",
"version": "v1"
}
] | 2021-10-12 | [
[
"Fakhry",
"Sami",
"",
"1 and 2"
],
[
"Couillet",
"Romain",
"",
"1 and 2 and 3"
],
[
"Tiomoko",
"Malik",
"",
"1 and 2"
]
] | This article proposes a distributed multi-task learning (MTL) algorithm based on supervised principal component analysis (SPCA) which is: (i) theoretically optimal for Gaussian mixtures, (ii) computationally cheap and scalable. Supporting experiments on synthetic and real benchmark data demonstrate that significant ene... |
2011.09845 | Feng Li | Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng | A Distributed Privacy-Preserving Learning Dynamics in General Social
Networks | null | null | null | null | cs.SI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study a distributed privacy-preserving learning problem in
social networks with general topology. The agents can communicate with each
other over the network, which may result in privacy disclosure, since the
trustworthiness of the agents cannot be guaranteed. Given a set of options
which yield unkn... | [
{
"created": "Sun, 15 Nov 2020 04:00:45 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Jan 2023 11:57:38 GMT",
"version": "v2"
}
] | 2023-01-30 | [
[
"Tao",
"Youming",
""
],
[
"Chen",
"Shuzhen",
""
],
[
"Li",
"Feng",
""
],
[
"Yu",
"Dongxiao",
""
],
[
"Yu",
"Jiguo",
""
],
[
"Sheng",
"Hao",
""
]
] | In this paper, we study a distributed privacy-preserving learning problem in social networks with general topology. The agents can communicate with each other over the network, which may result in privacy disclosure, since the trustworthiness of the agents cannot be guaranteed. Given a set of options which yield unknow... |
2312.05291 | Mohammad Reza Taesiri | Mohammad Reza Taesiri, Tianjun Feng, Anh Nguyen, Cor-Paul Bezemer | GlitchBench: Can large multimodal models detect video game glitches? | CVPR 2024 | null | null | null | cs.CV cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large multimodal models (LMMs) have evolved from large language models (LLMs)
to integrate multiple input modalities, such as visual inputs. This integration
augments the capacity of LLMs for tasks requiring visual comprehension and
reasoning. However, the extent and limitations of their enhanced abilities are
not fu... | [
{
"created": "Fri, 8 Dec 2023 18:14:21 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2024 16:49:59 GMT",
"version": "v2"
}
] | 2024-04-01 | [
[
"Taesiri",
"Mohammad Reza",
""
],
[
"Feng",
"Tianjun",
""
],
[
"Nguyen",
"Anh",
""
],
[
"Bezemer",
"Cor-Paul",
""
]
] | Large multimodal models (LMMs) have evolved from large language models (LLMs) to integrate multiple input modalities, such as visual inputs. This integration augments the capacity of LLMs for tasks requiring visual comprehension and reasoning. However, the extent and limitations of their enhanced abilities are not full... |
1810.04763 | Thorsten Wissmann | Pawe{\l} Parys | Recursion Schemes, the MSO Logic, and the U quantifier | null | Logical Methods in Computer Science, Volume 16, Issue 1 (February
18, 2020) lmcs:4885 | 10.23638/LMCS-16(1:20)2020 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We study the model-checking problem for recursion schemes: does the tree
generated by a given higher-order recursion scheme satisfy a given logical
sentence. The problem is known to be decidable for sentences of the MSO logic.
We prove decidability for an extension of MSO in which we additionally have an
unbounding q... | [
{
"created": "Wed, 10 Oct 2018 22:14:01 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Nov 2019 05:01:16 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Feb 2020 06:50:17 GMT",
"version": "v3"
}
] | 2023-06-22 | [
[
"Parys",
"Paweł",
""
]
] | We study the model-checking problem for recursion schemes: does the tree generated by a given higher-order recursion scheme satisfy a given logical sentence. The problem is known to be decidable for sentences of the MSO logic. We prove decidability for an extension of MSO in which we additionally have an unbounding qua... |
0909.4692 | Frederic Dorn Harald | Frederic Dorn | Planar Subgraph Isomorphism Revisited | 13 pages, 4 figures | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of Subgraph Isomorphism is defined as follows: Given a pattern H
and a host graph G on n vertices, does G contain a subgraph that is isomorphic
to H? Eppstein [SODA 95, J'GAA 99] gives the first linear time algorithm for
subgraph isomorphism for a fixed-size pattern, say of order k, and arbitrary
planar h... | [
{
"created": "Fri, 25 Sep 2009 13:15:31 GMT",
"version": "v1"
}
] | 2009-09-28 | [
[
"Dorn",
"Frederic",
""
]
] | The problem of Subgraph Isomorphism is defined as follows: Given a pattern H and a host graph G on n vertices, does G contain a subgraph that is isomorphic to H? Eppstein [SODA 95, J'GAA 99] gives the first linear time algorithm for subgraph isomorphism for a fixed-size pattern, say of order k, and arbitrary planar hos... |
1107.5870 | Alireza Abbasi | Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J.R. Rasmussen | Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels
and Cross-time Analysis | Accepted for publication in Scientometrics | null | null | null | cs.SI cs.DL physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several studies exist which use scientific literature for comparing
scientific activities (e.g., productivity, and collaboration). In this study,
using co-authorship data over the last 40 years, we present the evolutionary
dynamics of multi level (i.e., individual, institutional and national)
collaboration networks f... | [
{
"created": "Fri, 29 Jul 2011 05:16:12 GMT",
"version": "v1"
}
] | 2011-08-01 | [
[
"Abbasi",
"Alireza",
""
],
[
"Hossain",
"Liaquat",
""
],
[
"Uddin",
"Shahadat",
""
],
[
"Rasmussen",
"Kim J. R.",
""
]
] | Several studies exist which use scientific literature for comparing scientific activities (e.g., productivity, and collaboration). In this study, using co-authorship data over the last 40 years, we present the evolutionary dynamics of multi level (i.e., individual, institutional and national) collaboration networks for... |
2110.11238 | Islem Rekik | Umut Guvercin, Mohammed Amine Gharsallaoui and Islem Rekik | One Representative-Shot Learning Using a Population-Driven Template with
Application to Brain Connectivity Classification and Evolution Prediction | null | null | null | null | cs.NE cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Few-shot learning presents a challenging paradigm for training discriminative
models on a few training samples representing the target classes to
discriminate. However, classification methods based on deep learning are
ill-suited for such learning as they need large amounts of training data --let
alone one-shot learn... | [
{
"created": "Wed, 6 Oct 2021 08:36:00 GMT",
"version": "v1"
}
] | 2021-10-22 | [
[
"Guvercin",
"Umut",
""
],
[
"Gharsallaoui",
"Mohammed Amine",
""
],
[
"Rekik",
"Islem",
""
]
] | Few-shot learning presents a challenging paradigm for training discriminative models on a few training samples representing the target classes to discriminate. However, classification methods based on deep learning are ill-suited for such learning as they need large amounts of training data --let alone one-shot learnin... |
2303.16004 | Tristan Bilot | Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui | A Survey on Malware Detection with Graph Representation Learning | Preprint, submitted to ACM Computing Surveys on March 2023. For any
suggestions or improvements, please contact me directly by e-mail | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Malware detection has become a major concern due to the increasing number and
complexity of malware. Traditional detection methods based on signatures and
heuristics are used for malware detection, but unfortunately, they suffer from
poor generalization to unknown attacks and can be easily circumvented using
obfuscat... | [
{
"created": "Tue, 28 Mar 2023 14:27:08 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Aug 2023 12:28:57 GMT",
"version": "v2"
}
] | 2023-08-21 | [
[
"Bilot",
"Tristan",
""
],
[
"Madhoun",
"Nour El",
""
],
[
"Agha",
"Khaldoun Al",
""
],
[
"Zouaoui",
"Anis",
""
]
] | Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor generalization to unknown attacks and can be easily circumvented using obfuscatio... |
2301.05601 | Nicolas Hubert | Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo | Sem@$K$: Is my knowledge graph embedding model semantic-aware? | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Using knowledge graph embedding models (KGEMs) is a popular approach for
predicting links in knowledge graphs (KGs). Traditionally, the performance of
KGEMs for link prediction is assessed using rank-based metrics, which evaluate
their ability to give high scores to ground-truth entities. However, the
literature clai... | [
{
"created": "Fri, 13 Jan 2023 15:06:47 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Dec 2023 16:13:24 GMT",
"version": "v2"
}
] | 2023-12-08 | [
[
"Hubert",
"Nicolas",
""
],
[
"Monnin",
"Pierre",
""
],
[
"Brun",
"Armelle",
""
],
[
"Monticolo",
"Davy",
""
]
] | Using knowledge graph embedding models (KGEMs) is a popular approach for predicting links in knowledge graphs (KGs). Traditionally, the performance of KGEMs for link prediction is assessed using rank-based metrics, which evaluate their ability to give high scores to ground-truth entities. However, the literature claims... |
2112.00941 | Laurent Valentin Jospin | Laurent Valentin Jospin and Farid Boussaid and Hamid Laga and Mohammed
Bennamoun | Generalized Closed-form Formulae for Feature-based Subpixel Alignment in
Patch-based Matching | 29 pages, 10 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cost-based image patch matching is at the core of various techniques in
computer vision, photogrammetry and remote sensing. When the subpixel disparity
between the reference patch in the source and target images is required, either
the cost function or the target image have to be interpolated. While cost-based
interp... | [
{
"created": "Thu, 2 Dec 2021 02:42:58 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Feb 2023 02:26:43 GMT",
"version": "v2"
}
] | 2023-02-14 | [
[
"Jospin",
"Laurent Valentin",
""
],
[
"Boussaid",
"Farid",
""
],
[
"Laga",
"Hamid",
""
],
[
"Bennamoun",
"Mohammed",
""
]
] | Cost-based image patch matching is at the core of various techniques in computer vision, photogrammetry and remote sensing. When the subpixel disparity between the reference patch in the source and target images is required, either the cost function or the target image have to be interpolated. While cost-based interpol... |
2010.13697 | Kristina Wolfe | Kristina Wolfe, Douglas Swanson, Rupert Till | The Frequency Spectrum and Geometry of the Hal Saflieni Hypogeum Appear
Tuned | 8 pages, 6 figures. Accepted to Journal of Archaeological Science:
Reports (2020) | Journal of Archaeological Science: Reports 34 (2020) | 10.1016/j.jasrep.2020.102623 | null | cs.SD eess.AS physics.app-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Hal Saflieni Hypogeum is a unique subterranean Maltese Neolithic
sanctuary with a well-documented history of interest in its acoustics. Previous
studies have noted its unusual strongly-defined frequency spectrum, but it is
unknown if this was coincidental. In this paper, we present evidence that the
Hypogeum's cr... | [
{
"created": "Mon, 26 Oct 2020 16:28:49 GMT",
"version": "v1"
}
] | 2020-11-03 | [
[
"Wolfe",
"Kristina",
""
],
[
"Swanson",
"Douglas",
""
],
[
"Till",
"Rupert",
""
]
] | The Hal Saflieni Hypogeum is a unique subterranean Maltese Neolithic sanctuary with a well-documented history of interest in its acoustics. Previous studies have noted its unusual strongly-defined frequency spectrum, but it is unknown if this was coincidental. In this paper, we present evidence that the Hypogeum's crea... |
1603.00806 | Florian Strub | Florian Strub (SEQUEL, CRIStAL), Jeremie Mary (CRIStAL, SEQUEL),
Romaric Gaudel (LIFL) | Hybrid Collaborative Filtering with Autoencoders | null | null | null | null | cs.IR cs.AI cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collaborative Filtering aims at exploiting the feedback of users to provide
personalised recommendations. Such algorithms look for latent variables in a
large sparse matrix of ratings. They can be enhanced by adding side information
to tackle the well-known cold start problem. While Neu-ral Networks have
tremendous s... | [
{
"created": "Wed, 2 Mar 2016 17:48:25 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Mar 2016 19:18:09 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Jul 2016 08:10:08 GMT",
"version": "v3"
}
] | 2016-07-20 | [
[
"Strub",
"Florian",
"",
"SEQUEL, CRIStAL"
],
[
"Mary",
"Jeremie",
"",
"CRIStAL, SEQUEL"
],
[
"Gaudel",
"Romaric",
"",
"LIFL"
]
] | Collaborative Filtering aims at exploiting the feedback of users to provide personalised recommendations. Such algorithms look for latent variables in a large sparse matrix of ratings. They can be enhanced by adding side information to tackle the well-known cold start problem. While Neu-ral Networks have tremendous suc... |
2301.03837 | Junming Cao | Junming Cao, Bihuan Chen, Longjie Hu, Jie Gao, Kaifeng Huang, Xin Peng | Understanding the Complexity and Its Impact on Testing in ML-Enabled
Systems | null | null | null | null | cs.SE cs.AI | http://creativecommons.org/licenses/by/4.0/ | Machine learning (ML) enabled systems are emerging with recent breakthroughs
in ML. A model-centric view is widely taken by the literature to focus only on
the analysis of ML models. However, only a small body of work takes a system
view that looks at how ML components work with the system and how they affect
softwar... | [
{
"created": "Tue, 10 Jan 2023 08:13:24 GMT",
"version": "v1"
}
] | 2023-01-11 | [
[
"Cao",
"Junming",
""
],
[
"Chen",
"Bihuan",
""
],
[
"Hu",
"Longjie",
""
],
[
"Gao",
"Jie",
""
],
[
"Huang",
"Kaifeng",
""
],
[
"Peng",
"Xin",
""
]
] | Machine learning (ML) enabled systems are emerging with recent breakthroughs in ML. A model-centric view is widely taken by the literature to focus only on the analysis of ML models. However, only a small body of work takes a system view that looks at how ML components work with the system and how they affect software ... |
2010.08620 | Jingfan Meng | Jingfan Meng, Long Gong and Jun (Jim) Xu | Sliding-Window QPS (SW-QPS): A Perfect Parallel Iterative Switching
Algorithm for Input-Queued Switches | 8 pages, 5 figures, to be published in ACM Performance Evaluation
Review (PER) | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we first propose a parallel batch switching algorithm called
Small-Batch Queue-Proportional Sampling (SB-QPS). Compared to other batch
switching algorithms, SB-QPS significantly reduces the batch size without
sacrificing the throughput performance and hence has much lower delay when
traffic load is ligh... | [
{
"created": "Fri, 16 Oct 2020 20:39:02 GMT",
"version": "v1"
}
] | 2020-10-20 | [
[
"Meng",
"Jingfan",
"",
"Jim"
],
[
"Gong",
"Long",
"",
"Jim"
],
[
"Jun",
"",
"",
"Jim"
],
[
"Xu",
"",
""
]
] | In this work, we first propose a parallel batch switching algorithm called Small-Batch Queue-Proportional Sampling (SB-QPS). Compared to other batch switching algorithms, SB-QPS significantly reduces the batch size without sacrificing the throughput performance and hence has much lower delay when traffic load is light ... |
2202.04041 | Andr\'es Beltr\'an-Pulido | Andr\'es Beltr\'an-Pulido, Ilias Bilionis, Dionysios Aliprantis | Physics-informed neural networks for solving parametric magnetostatic
problems | 12 pages, 10 figures | null | 10.1109/TEC.2022.3180295 | null | cs.CE cs.LG physics.comp-ph | http://creativecommons.org/licenses/by/4.0/ | The objective of this paper is to investigate the ability of physics-informed
neural networks to learn the magnetic field response as a function of design
parameters in the context of a two-dimensional (2-D) magnetostatic problem. Our
approach is as follows. First, we present a functional whose minimization is
equiva... | [
{
"created": "Tue, 8 Feb 2022 18:12:26 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2022 16:55:00 GMT",
"version": "v2"
}
] | 2022-09-30 | [
[
"Beltrán-Pulido",
"Andrés",
""
],
[
"Bilionis",
"Ilias",
""
],
[
"Aliprantis",
"Dionysios",
""
]
] | The objective of this paper is to investigate the ability of physics-informed neural networks to learn the magnetic field response as a function of design parameters in the context of a two-dimensional (2-D) magnetostatic problem. Our approach is as follows. First, we present a functional whose minimization is equivale... |
2112.08614 | Liangke Gui | Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk,
Jianfeng Gao | KAT: A Knowledge Augmented Transformer for Vision-and-Language | Accepted by NAACL 2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The primary focus of recent work with largescale transformers has been on
optimizing the amount of information packed into the model's parameters. In
this work, we ask a different question: Can multimodal transformers leverage
explicit knowledge in their reasoning? Existing, primarily unimodal, methods
have explored ... | [
{
"created": "Thu, 16 Dec 2021 04:37:10 GMT",
"version": "v1"
},
{
"created": "Thu, 5 May 2022 04:20:06 GMT",
"version": "v2"
}
] | 2022-05-06 | [
[
"Gui",
"Liangke",
""
],
[
"Wang",
"Borui",
""
],
[
"Huang",
"Qiuyuan",
""
],
[
"Hauptmann",
"Alex",
""
],
[
"Bisk",
"Yonatan",
""
],
[
"Gao",
"Jianfeng",
""
]
] | The primary focus of recent work with largescale transformers has been on optimizing the amount of information packed into the model's parameters. In this work, we ask a different question: Can multimodal transformers leverage explicit knowledge in their reasoning? Existing, primarily unimodal, methods have explored ap... |
2310.10981 | Bin Wang | Bin Wang, Zhengyuan Liu, Nancy F. Chen | Instructive Dialogue Summarization with Query Aggregations | EMNLP 2023 Main Conference - Summarization (update for
acknowledgement) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventional dialogue summarization methods directly generate summaries and
do not consider user's specific interests. This poses challenges in cases where
the users are more focused on particular topics or aspects. With the
advancement of instruction-finetuned language models, we introduce
instruction-tuning to dial... | [
{
"created": "Tue, 17 Oct 2023 04:03:00 GMT",
"version": "v1"
},
{
"created": "Sat, 9 Dec 2023 05:38:43 GMT",
"version": "v2"
},
{
"created": "Thu, 1 Aug 2024 09:53:49 GMT",
"version": "v3"
}
] | 2024-08-02 | [
[
"Wang",
"Bin",
""
],
[
"Liu",
"Zhengyuan",
""
],
[
"Chen",
"Nancy F.",
""
]
] | Conventional dialogue summarization methods directly generate summaries and do not consider user's specific interests. This poses challenges in cases where the users are more focused on particular topics or aspects. With the advancement of instruction-finetuned language models, we introduce instruction-tuning to dialog... |
2007.03640 | Rogan Morrow | Rogan Morrow, Wei-Chen Chiu | Benefiting Deep Latent Variable Models via Learning the Prior and
Removing Latent Regularization | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There exist many forms of deep latent variable models, such as the
variational autoencoder and adversarial autoencoder. Regardless of the specific
class of model, there exists an implicit consensus that the latent distribution
should be regularized towards the prior, even in the case where the prior
distribution is l... | [
{
"created": "Tue, 7 Jul 2020 17:25:37 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jul 2020 13:05:49 GMT",
"version": "v2"
}
] | 2020-07-17 | [
[
"Morrow",
"Rogan",
""
],
[
"Chiu",
"Wei-Chen",
""
]
] | There exist many forms of deep latent variable models, such as the variational autoencoder and adversarial autoencoder. Regardless of the specific class of model, there exists an implicit consensus that the latent distribution should be regularized towards the prior, even in the case where the prior distribution is lea... |
2207.01426 | Liang Ding | Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng
Tao | Dynamic Contrastive Distillation for Image-Text Retrieval | null | null | null | null | cs.MM cs.AI cs.CL cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | Although the vision-and-language pretraining (VLP) equipped cross-modal
image-text retrieval (ITR) has achieved remarkable progress in the past two
years, it suffers from a major drawback: the ever-increasing size of VLP models
restricts its deployment to real-world search scenarios (where the high latency
is unaccep... | [
{
"created": "Mon, 4 Jul 2022 14:08:59 GMT",
"version": "v1"
}
] | 2022-07-05 | [
[
"Rao",
"Jun",
""
],
[
"Ding",
"Liang",
""
],
[
"Qi",
"Shuhan",
""
],
[
"Fang",
"Meng",
""
],
[
"Liu",
"Yang",
""
],
[
"Shen",
"Li",
""
],
[
"Tao",
"Dacheng",
""
]
] | Although the vision-and-language pretraining (VLP) equipped cross-modal image-text retrieval (ITR) has achieved remarkable progress in the past two years, it suffers from a major drawback: the ever-increasing size of VLP models restricts its deployment to real-world search scenarios (where the high latency is unaccepta... |
1412.2455 | Shihao Yan | Shihao Yan, Robert Malaney, Ido Nevat, and Gareth W. Peters | Location Verification Systems for VANETs in Rician Fading Channels | 12 pages, 6 figures | null | 10.1109/TVT.2015.2453160 | null | cs.NI cs.CR cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose and examine Location Verification Systems (LVSs) for
Vehicular Ad Hoc Networks (VANETs) in the realistic setting of Rician fading
channels. In our LVSs, a single authorized Base Station (BS) equipped with
multiple antennas aims to detect a malicious vehicle that is spoofing its
claimed locatio... | [
{
"created": "Mon, 8 Dec 2014 05:47:32 GMT",
"version": "v1"
}
] | 2016-09-01 | [
[
"Yan",
"Shihao",
""
],
[
"Malaney",
"Robert",
""
],
[
"Nevat",
"Ido",
""
],
[
"Peters",
"Gareth W.",
""
]
] | In this work we propose and examine Location Verification Systems (LVSs) for Vehicular Ad Hoc Networks (VANETs) in the realistic setting of Rician fading channels. In our LVSs, a single authorized Base Station (BS) equipped with multiple antennas aims to detect a malicious vehicle that is spoofing its claimed location.... |
1906.07280 | Enrico Santus | Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto, Alessandro
Lenci, Philippe Blache, Chu-Ren Huang | A Structured Distributional Model of Sentence Meaning and Processing | accepted at JLNE; Journal of Natural Language Engineering; 26 pages,
thematic fit, selectional preference, natural language processing, nlp, ai | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most compositional distributional semantic models represent sentence meaning
with a single vector. In this paper, we propose a Structured Distributional
Model (SDM) that combines word embeddings with formal semantics and is based on
the assumption that sentences represent events and situations. The semantic
represent... | [
{
"created": "Mon, 17 Jun 2019 21:31:40 GMT",
"version": "v1"
}
] | 2019-06-19 | [
[
"Chersoni",
"Emmanuele",
""
],
[
"Santus",
"Enrico",
""
],
[
"Pannitto",
"Ludovica",
""
],
[
"Lenci",
"Alessandro",
""
],
[
"Blache",
"Philippe",
""
],
[
"Huang",
"Chu-Ren",
""
]
] | Most compositional distributional semantic models represent sentence meaning with a single vector. In this paper, we propose a Structured Distributional Model (SDM) that combines word embeddings with formal semantics and is based on the assumption that sentences represent events and situations. The semantic representat... |
2105.08878 | Jeremy Chen | Jeremy Chen, Yuqing Huang, Mushi Wang, Semih Salihoglu, Ken Salem | Accurate Summary-based Cardinality Estimation Through the Lens of
Cardinality Estimation Graphs | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study two classes of summary-based cardinality estimators that use
statistics about input relations and small-size joins in the context of graph
database management systems: (i) optimistic estimators that make uniformity and
conditional independence assumptions; and (ii) the recent pessimistic
estimators that use ... | [
{
"created": "Wed, 19 May 2021 01:52:38 GMT",
"version": "v1"
}
] | 2021-05-20 | [
[
"Chen",
"Jeremy",
""
],
[
"Huang",
"Yuqing",
""
],
[
"Wang",
"Mushi",
""
],
[
"Salihoglu",
"Semih",
""
],
[
"Salem",
"Ken",
""
]
] | We study two classes of summary-based cardinality estimators that use statistics about input relations and small-size joins in the context of graph database management systems: (i) optimistic estimators that make uniformity and conditional independence assumptions; and (ii) the recent pessimistic estimators that use in... |
2312.04501 | Derek Lim | Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas | Graph Metanetworks for Processing Diverse Neural Architectures | 29 pages. v2 updated experimental results and details | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | Neural networks efficiently encode learned information within their
parameters. Consequently, many tasks can be unified by treating neural networks
themselves as input data. When doing so, recent studies demonstrated the
importance of accounting for the symmetries and geometry of parameter spaces.
However, those work... | [
{
"created": "Thu, 7 Dec 2023 18:21:52 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 22:55:45 GMT",
"version": "v2"
}
] | 2024-01-02 | [
[
"Lim",
"Derek",
""
],
[
"Maron",
"Haggai",
""
],
[
"Law",
"Marc T.",
""
],
[
"Lorraine",
"Jonathan",
""
],
[
"Lucas",
"James",
""
]
] | Neural networks efficiently encode learned information within their parameters. Consequently, many tasks can be unified by treating neural networks themselves as input data. When doing so, recent studies demonstrated the importance of accounting for the symmetries and geometry of parameter spaces. However, those works ... |
2405.11265 | Yu Huang | Yu Huang, Liang Guo, Wanqian Guo, Zhe Tao, Yang Lv, Zhihao Sun,
Dongfang Zhao | EnviroExam: Benchmarking Environmental Science Knowledge of Large
Language Models | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the field of environmental science, it is crucial to have robust
evaluation metrics for large language models to ensure their efficacy and
accuracy. We propose EnviroExam, a comprehensive evaluation method designed to
assess the knowledge of large language models in the field of environmental
science. EnviroExam i... | [
{
"created": "Sat, 18 May 2024 11:31:03 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Huang",
"Yu",
""
],
[
"Guo",
"Liang",
""
],
[
"Guo",
"Wanqian",
""
],
[
"Tao",
"Zhe",
""
],
[
"Lv",
"Yang",
""
],
[
"Sun",
"Zhihao",
""
],
[
"Zhao",
"Dongfang",
""
]
] | In the field of environmental science, it is crucial to have robust evaluation metrics for large language models to ensure their efficacy and accuracy. We propose EnviroExam, a comprehensive evaluation method designed to assess the knowledge of large language models in the field of environmental science. EnviroExam is ... |
1402.6239 | Andr\'e Nichterlein | Sepp Hartung and Clemens Hoffmann and Andr\'e Nichterlein | Improved Upper and Lower Bound Heuristics for Degree Anonymization in
Social Networks | null | null | null | null | cs.SI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by a strongly growing interest in anonymizing social network data,
we investigate the NP-hard Degree Anonymization problem: given an undirected
graph, the task is to add a minimum number of edges such that the graph becomes
k-anonymous. That is, for each vertex there have to be at least k-1 other
vertices o... | [
{
"created": "Tue, 25 Feb 2014 16:53:32 GMT",
"version": "v1"
}
] | 2014-02-26 | [
[
"Hartung",
"Sepp",
""
],
[
"Hoffmann",
"Clemens",
""
],
[
"Nichterlein",
"André",
""
]
] | Motivated by a strongly growing interest in anonymizing social network data, we investigate the NP-hard Degree Anonymization problem: given an undirected graph, the task is to add a minimum number of edges such that the graph becomes k-anonymous. That is, for each vertex there have to be at least k-1 other vertices of ... |
1312.0655 | Quan Geng | Quan Geng and Pramod Viswanath | The Optimal Mechanism in Differential Privacy: Multidimensional Setting | 18 pages, 2 figures. arXiv admin note: text overlap with
arXiv:1212.1186 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We derive the optimal $\epsilon$-differentially private mechanism for a
general two-dimensional real-valued (histogram-like) query function under a
utility-maximization (or cost-minimization) framework for the $\ell^1$ cost
function. We show that the optimal noise probability distribution has a
correlated multidimens... | [
{
"created": "Mon, 2 Dec 2013 22:57:29 GMT",
"version": "v1"
}
] | 2013-12-04 | [
[
"Geng",
"Quan",
""
],
[
"Viswanath",
"Pramod",
""
]
] | We derive the optimal $\epsilon$-differentially private mechanism for a general two-dimensional real-valued (histogram-like) query function under a utility-maximization (or cost-minimization) framework for the $\ell^1$ cost function. We show that the optimal noise probability distribution has a correlated multidimensio... |
2309.07782 | Matteo Golinelli | Matteo Golinelli, Francesco Bonomi, Bruno Crispo | The Nonce-nce of Web Security: an Investigation of CSP Nonces Reuse | Accepted at the WASP workshop (ESORICS 2023) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Content Security Policy (CSP) is an effective security mechanism that
prevents the exploitation of Cross-Site Scripting (XSS) vulnerabilities on
websites by specifying the sources from which their web pages can load
resources, such as scripts and styles. CSP nonces enable websites to allow the
execution of specific i... | [
{
"created": "Thu, 14 Sep 2023 15:15:44 GMT",
"version": "v1"
}
] | 2023-09-15 | [
[
"Golinelli",
"Matteo",
""
],
[
"Bonomi",
"Francesco",
""
],
[
"Crispo",
"Bruno",
""
]
] | Content Security Policy (CSP) is an effective security mechanism that prevents the exploitation of Cross-Site Scripting (XSS) vulnerabilities on websites by specifying the sources from which their web pages can load resources, such as scripts and styles. CSP nonces enable websites to allow the execution of specific inl... |
2206.08434 | Jason Mars PhD | Jason Mars | The Case for a Wholistic Serverless Programming Paradigm and Full Stack
Automation for AI and Beyond -- The Philosophy of Jaseci and Jac | null | null | null | null | cs.DC cs.AI cs.AR cs.PL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this work, the case is made for a wholistic top-down re-envisioning of the
system stack from the programming language level down through the system
architecture to bridge this complexity gap. The key goal of our design is to
address the critical need for the programmer to articulate solutions with
higher level abs... | [
{
"created": "Thu, 16 Jun 2022 20:28:37 GMT",
"version": "v1"
}
] | 2022-06-20 | [
[
"Mars",
"Jason",
""
]
] | In this work, the case is made for a wholistic top-down re-envisioning of the system stack from the programming language level down through the system architecture to bridge this complexity gap. The key goal of our design is to address the critical need for the programmer to articulate solutions with higher level abstr... |
2110.09241 | Wenhan Yang | Wenhan Yang, Haofeng Huang, Yueyu Hu, Ling-Yu Duan, Jiaying Liu | Video Coding for Machine: Compact Visual Representation Compression for
Intelligent Collaborative Analytics | The first three authors had equal contribution. arXiv admin note:
text overlap with arXiv:2106.08512 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video Coding for Machines (VCM) is committed to bridging to an extent
separate research tracks of video/image compression and feature compression,
and attempts to optimize compactness and efficiency jointly from a unified
perspective of high accuracy machine vision and full fidelity human vision. In
this paper, we su... | [
{
"created": "Mon, 18 Oct 2021 12:42:13 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Yang",
"Wenhan",
""
],
[
"Huang",
"Haofeng",
""
],
[
"Hu",
"Yueyu",
""
],
[
"Duan",
"Ling-Yu",
""
],
[
"Liu",
"Jiaying",
""
]
] | Video Coding for Machines (VCM) is committed to bridging to an extent separate research tracks of video/image compression and feature compression, and attempts to optimize compactness and efficiency jointly from a unified perspective of high accuracy machine vision and full fidelity human vision. In this paper, we summ... |
2302.13362 | Quanyan Zhu | Quanyan Zhu | The Doctrine of Cyber Effect: An Ethics Framework for Defensive Cyber
Deception | null | null | null | null | cs.CR cs.CY | http://creativecommons.org/licenses/by/4.0/ | The lack of established rules and regulations in cyberspace is attributed to
the absence of agreed-upon ethical principles, making it difficult to establish
accountability, regulations, and laws. Addressing this challenge requires
examining cyberspace from fundamental philosophical principles. This work
focuses on th... | [
{
"created": "Sun, 26 Feb 2023 17:41:47 GMT",
"version": "v1"
}
] | 2023-02-28 | [
[
"Zhu",
"Quanyan",
""
]
] | The lack of established rules and regulations in cyberspace is attributed to the absence of agreed-upon ethical principles, making it difficult to establish accountability, regulations, and laws. Addressing this challenge requires examining cyberspace from fundamental philosophical principles. This work focuses on the ... |
2402.12635 | Sinan Abdulhak | Sinan Abdulhak, Anthony Carvette, Kate Shen, Robert Goldman, Bill
Tuck, Max Z. Li | User Feedback-Informed Interface Design for Flow Management Data and
Services (FMDS) | 8 pages, 8 figures | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The transition to a microservices-based Flow Management Data and Services
(FMDS) architecture from the existing Traffic Flow Management System (TFMS) is
a critical enabler of the vision for an Information-Centric National Airspace
System (NAS). The need to design a user-centric interface for FMDS is a key
technical g... | [
{
"created": "Tue, 20 Feb 2024 01:26:53 GMT",
"version": "v1"
}
] | 2024-02-21 | [
[
"Abdulhak",
"Sinan",
""
],
[
"Carvette",
"Anthony",
""
],
[
"Shen",
"Kate",
""
],
[
"Goldman",
"Robert",
""
],
[
"Tuck",
"Bill",
""
],
[
"Li",
"Max Z.",
""
]
] | The transition to a microservices-based Flow Management Data and Services (FMDS) architecture from the existing Traffic Flow Management System (TFMS) is a critical enabler of the vision for an Information-Centric National Airspace System (NAS). The need to design a user-centric interface for FMDS is a key technical gap... |
1604.01545 | German Ros | German Ros, Simon Stent, Pablo F. Alcantarilla and Tomoki Watanabe | Training Constrained Deconvolutional Networks for Road Scene Semantic
Segmentation | submitted as a conference paper | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we investigate the problem of road scene semantic segmentation
using Deconvolutional Networks (DNs). Several constraints limit the practical
performance of DNs in this context: firstly, the paucity of existing pixel-wise
labelled training data, and secondly, the memory constraints of embedded
hardware, w... | [
{
"created": "Wed, 6 Apr 2016 09:02:50 GMT",
"version": "v1"
}
] | 2016-04-07 | [
[
"Ros",
"German",
""
],
[
"Stent",
"Simon",
""
],
[
"Alcantarilla",
"Pablo F.",
""
],
[
"Watanabe",
"Tomoki",
""
]
] | In this work we investigate the problem of road scene semantic segmentation using Deconvolutional Networks (DNs). Several constraints limit the practical performance of DNs in this context: firstly, the paucity of existing pixel-wise labelled training data, and secondly, the memory constraints of embedded hardware, whi... |
2405.05583 | Yuxia Wang | Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Georgiev, Jiahui Geng,
Preslav Nakov | OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs | 19 pages, 8 tables, 8 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The increased use of large language models (LLMs) across a variety of
real-world applications calls for mechanisms to verify the factual accuracy of
their outputs. Difficulties lie in assessing the factuality of free-form
responses in open domains. Also, different papers use disparate evaluation
benchmarks and measur... | [
{
"created": "Thu, 9 May 2024 07:15:19 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Wang",
"Yuxia",
""
],
[
"Wang",
"Minghan",
""
],
[
"Iqbal",
"Hasan",
""
],
[
"Georgiev",
"Georgi",
""
],
[
"Geng",
"Jiahui",
""
],
[
"Nakov",
"Preslav",
""
]
] | The increased use of large language models (LLMs) across a variety of real-world applications calls for mechanisms to verify the factual accuracy of their outputs. Difficulties lie in assessing the factuality of free-form responses in open domains. Also, different papers use disparate evaluation benchmarks and measurem... |
1601.07613 | Andrew Giuliani | Andrew Giuliani and Lilia Krivodonova | Edge coloring in unstructured CFD codes | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a way of preventing race conditions in the evaluation of the
surface integral contribution in discontinuous Galerkin and finite volume flow
solvers by coloring the edges (or faces) of the computational mesh. In this
work we use a partitioning algorithm that separates the edges of triangular
elements into t... | [
{
"created": "Thu, 28 Jan 2016 01:24:40 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Apr 2017 15:50:24 GMT",
"version": "v2"
}
] | 2017-04-20 | [
[
"Giuliani",
"Andrew",
""
],
[
"Krivodonova",
"Lilia",
""
]
] | We propose a way of preventing race conditions in the evaluation of the surface integral contribution in discontinuous Galerkin and finite volume flow solvers by coloring the edges (or faces) of the computational mesh. In this work we use a partitioning algorithm that separates the edges of triangular elements into thr... |
1803.05101 | Raef Bassily | Raef Bassily, Om Thakkar, Abhradeep Thakurta | Model-Agnostic Private Learning via Stability | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We design differentially private learning algorithms that are agnostic to the
learning model. Our algorithms are interactive in nature, i.e., instead of
outputting a model based on the training data, they provide predictions for a
set of $m$ feature vectors that arrive online. We show that, for the feature
vectors on... | [
{
"created": "Wed, 14 Mar 2018 02:09:15 GMT",
"version": "v1"
}
] | 2018-03-15 | [
[
"Bassily",
"Raef",
""
],
[
"Thakkar",
"Om",
""
],
[
"Thakurta",
"Abhradeep",
""
]
] | We design differentially private learning algorithms that are agnostic to the learning model. Our algorithms are interactive in nature, i.e., instead of outputting a model based on the training data, they provide predictions for a set of $m$ feature vectors that arrive online. We show that, for the feature vectors on w... |
2405.04063 | Partha Protim Paul | Partha P. Paul, Md Tonoy Akanda, M. Raihan Ullah, Dipto Mondal, Nazia
S. Chowdhury, and Fazle M. Tawsif | xNose: A Test Smell Detector for C# | Full report of our ICSE'24 poster | null | 10.1145/3639478.3643116 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Test smells, similar to code smells, can negatively impact both the test code
and the production code being tested. Despite extensive research on test smells
in languages like Java, Scala, and Python, automated tools for detecting test
smells in C# are lacking. This paper aims to bridge this gap by extending the
stud... | [
{
"created": "Tue, 7 May 2024 07:10:42 GMT",
"version": "v1"
}
] | 2024-05-08 | [
[
"Paul",
"Partha P.",
""
],
[
"Akanda",
"Md Tonoy",
""
],
[
"Ullah",
"M. Raihan",
""
],
[
"Mondal",
"Dipto",
""
],
[
"Chowdhury",
"Nazia S.",
""
],
[
"Tawsif",
"Fazle M.",
""
]
] | Test smells, similar to code smells, can negatively impact both the test code and the production code being tested. Despite extensive research on test smells in languages like Java, Scala, and Python, automated tools for detecting test smells in C# are lacking. This paper aims to bridge this gap by extending the study ... |
2206.02704 | Jicong Fan | Jinyu Cai, Jicong Fan | Perturbation Learning Based Anomaly Detection | null | NeurIPS 2022 | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a simple yet effective method for anomaly detection. The
main idea is to learn small perturbations to perturb normal data and learn a
classifier to classify the normal data and the perturbed data into two
different classes. The perturbator and classifier are jointly learned using
deep neural netwo... | [
{
"created": "Mon, 6 Jun 2022 16:01:01 GMT",
"version": "v1"
}
] | 2023-02-07 | [
[
"Cai",
"Jinyu",
""
],
[
"Fan",
"Jicong",
""
]
] | This paper presents a simple yet effective method for anomaly detection. The main idea is to learn small perturbations to perturb normal data and learn a classifier to classify the normal data and the perturbed data into two different classes. The perturbator and classifier are jointly learned using deep neural network... |
1905.08790 | Zirui Xu | Zirui Xu, Fuxun Yu, Xiang Chen | DoPa: A Comprehensive CNN Detection Methodology against Physical
Adversarial Attacks | 5 pages, 3 figures | null | null | null | cs.CR cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Convolutional Neural Networks (CNNs) demonstrate a considerable
vulnerability to adversarial attacks, which can be easily misled by adversarial
perturbations. With more aggressive methods proposed, adversarial attacks can
be also applied to the physical world, causing practical issues to various CNN
powered... | [
{
"created": "Tue, 21 May 2019 19:53:38 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jul 2019 18:56:50 GMT",
"version": "v2"
},
{
"created": "Fri, 23 Aug 2019 20:38:44 GMT",
"version": "v3"
},
{
"created": "Wed, 28 Aug 2019 15:07:07 GMT",
"version": "v4"
}
] | 2019-08-29 | [
[
"Xu",
"Zirui",
""
],
[
"Yu",
"Fuxun",
""
],
[
"Chen",
"Xiang",
""
]
] | Recently, Convolutional Neural Networks (CNNs) demonstrate a considerable vulnerability to adversarial attacks, which can be easily misled by adversarial perturbations. With more aggressive methods proposed, adversarial attacks can be also applied to the physical world, causing practical issues to various CNN powered a... |
1801.06349 | Matei Mancas | Matei Mancas, Christian Frisson, Jo\"elle Tilmanne, Nicolas
d'Alessandro, Petr Barborka, Furkan Bayansar, Francisco Bernard, Rebecca
Fiebrink, Alexis Heloir, Edgar Hemery, Sohaib Laraba, Alexis Moinet, Fabrizio
Nunnari, Thierry Ravet, Lo\"ic Reboursi\`ere, Alvaro Sarasua, Micka\"el Tits,
No\'e Tits, Fran\c{c}oi... | Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces | 159 pages | null | null | null | cs.HC cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted
by the Numediart Institute of Creative Technologies of the University of Mons
from August 10th to September 2015. During the four weeks, students and
researchers from all over the world came together in the Numediart Institute of
the Universi... | [
{
"created": "Fri, 19 Jan 2018 10:03:35 GMT",
"version": "v1"
}
] | 2018-01-22 | [
[
"Mancas",
"Matei",
""
],
[
"Frisson",
"Christian",
""
],
[
"Tilmanne",
"Joëlle",
""
],
[
"d'Alessandro",
"Nicolas",
""
],
[
"Barborka",
"Petr",
""
],
[
"Bayansar",
"Furkan",
""
],
[
"Bernard",
"Francisco",
... | The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies of the University of Mons from August 10th to September 2015. During the four weeks, students and researchers from all over the world came together in the Numediart Institute of the University... |
2010.02512 | Lima Agnel Tony | Aashay Bhise, Shuvrangshu Jana, Lima Agnel Tony, Debasish Ghose | Target State Estimation and Prediction for High Speed Interception | arXiv admin note: substantial text overlap with arXiv:2009.00067 | MBZIRC Symposium 2020, ADNEC, Abu Dhabi | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate estimation and prediction of trajectory is essential for
interception of any high speed target. In this paper, an extended Kalman filter
is used to estimate the current location of target from its visual information
and then predict its future position by using the observation sequence. Target
motion model i... | [
{
"created": "Sun, 4 Oct 2020 14:46:47 GMT",
"version": "v1"
}
] | 2020-10-07 | [
[
"Bhise",
"Aashay",
""
],
[
"Jana",
"Shuvrangshu",
""
],
[
"Tony",
"Lima Agnel",
""
],
[
"Ghose",
"Debasish",
""
]
] | Accurate estimation and prediction of trajectory is essential for interception of any high speed target. In this paper, an extended Kalman filter is used to estimate the current location of target from its visual information and then predict its future position by using the observation sequence. Target motion model is ... |
2210.01154 | Sandipan Das | Sandipan Das, Navid Mahabadi, Maurice Fallon, Saikat Chatterjee | M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance | For associated video check https://youtu.be/-xSbfaroEPs | 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA,
2023 | 10.1109/IV55152.2023.10186548 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We present a robust system for state estimation that fuses measurements from
multiple lidars and inertial sensors with GNSS data. To initiate the method, we
use the prior GNSS pose information. We then perform incremental motion in
real-time, which produces robust motion estimates in a global frame by fusing
lidar an... | [
{
"created": "Mon, 3 Oct 2022 18:05:57 GMT",
"version": "v1"
},
{
"created": "Sun, 9 Oct 2022 05:02:33 GMT",
"version": "v2"
}
] | 2023-09-14 | [
[
"Das",
"Sandipan",
""
],
[
"Mahabadi",
"Navid",
""
],
[
"Fallon",
"Maurice",
""
],
[
"Chatterjee",
"Saikat",
""
]
] | We present a robust system for state estimation that fuses measurements from multiple lidars and inertial sensors with GNSS data. To initiate the method, we use the prior GNSS pose information. We then perform incremental motion in real-time, which produces robust motion estimates in a global frame by fusing lidar and ... |
1910.10944 | Adish Singla | Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla | Preference-Based Batch and Sequential Teaching: Towards a Unified View
of Models | NeurIPS 2019 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Algorithmic machine teaching studies the interaction between a teacher and a
learner where the teacher selects labeled examples aiming at teaching a target
hypothesis. In a quest to lower teaching complexity and to achieve more natural
teacher-learner interactions, several teaching models and complexity measures
have... | [
{
"created": "Thu, 24 Oct 2019 07:03:55 GMT",
"version": "v1"
}
] | 2019-10-25 | [
[
"Mansouri",
"Farnam",
""
],
[
"Chen",
"Yuxin",
""
],
[
"Vartanian",
"Ara",
""
],
[
"Zhu",
"Xiaojin",
""
],
[
"Singla",
"Adish",
""
]
] | Algorithmic machine teaching studies the interaction between a teacher and a learner where the teacher selects labeled examples aiming at teaching a target hypothesis. In a quest to lower teaching complexity and to achieve more natural teacher-learner interactions, several teaching models and complexity measures have b... |
2311.09270 | Saeed Khalilian | Saeed Khalilian, Vasileios Tsouvalas, Tanir Ozcelebi, Nirvana Meratnia | FedCode: Communication-Efficient Federated Learning via Transferring
Codebooks | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) is a distributed machine learning paradigm that
enables learning models from decentralized local data. While FL offers
appealing properties for clients' data privacy, it imposes high communication
burdens for exchanging model weights between a server and the clients. Existing
approaches rely o... | [
{
"created": "Wed, 15 Nov 2023 12:06:32 GMT",
"version": "v1"
}
] | 2023-11-17 | [
[
"Khalilian",
"Saeed",
""
],
[
"Tsouvalas",
"Vasileios",
""
],
[
"Ozcelebi",
"Tanir",
""
],
[
"Meratnia",
"Nirvana",
""
]
] | Federated Learning (FL) is a distributed machine learning paradigm that enables learning models from decentralized local data. While FL offers appealing properties for clients' data privacy, it imposes high communication burdens for exchanging model weights between a server and the clients. Existing approaches rely on ... |
2205.05019 | Antoine Yang | Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid | Learning to Answer Visual Questions from Web Videos | Accepted at the TPAMI Special Issue on the Best Papers of ICCV 2021.
Journal extension of the conference paper arXiv:2012.00451. 16 pages, 13
figures | null | null | null | cs.CV cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent methods for visual question answering rely on large-scale annotated
datasets. Manual annotation of questions and answers for videos, however, is
tedious, expensive and prevents scalability. In this work, we propose to avoid
manual annotation and generate a large-scale training dataset for video
question answer... | [
{
"created": "Tue, 10 May 2022 16:34:26 GMT",
"version": "v1"
},
{
"created": "Wed, 11 May 2022 05:31:08 GMT",
"version": "v2"
}
] | 2022-05-12 | [
[
"Yang",
"Antoine",
""
],
[
"Miech",
"Antoine",
""
],
[
"Sivic",
"Josef",
""
],
[
"Laptev",
"Ivan",
""
],
[
"Schmid",
"Cordelia",
""
]
] | Recent methods for visual question answering rely on large-scale annotated datasets. Manual annotation of questions and answers for videos, however, is tedious, expensive and prevents scalability. In this work, we propose to avoid manual annotation and generate a large-scale training dataset for video question answerin... |
2309.09256 | Kazuto Nakashima | Kazuto Nakashima, Ryo Kurazume | LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models | ICRA 2024 | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative modeling of 3D LiDAR data is an emerging task with promising
applications for autonomous mobile robots, such as scalable simulation, scene
manipulation, and sparse-to-dense completion of LiDAR point clouds. While
existing approaches have demonstrated the feasibility of image-based LiDAR data
generation usi... | [
{
"created": "Sun, 17 Sep 2023 12:26:57 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2024 07:37:55 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Nakashima",
"Kazuto",
""
],
[
"Kurazume",
"Ryo",
""
]
] | Generative modeling of 3D LiDAR data is an emerging task with promising applications for autonomous mobile robots, such as scalable simulation, scene manipulation, and sparse-to-dense completion of LiDAR point clouds. While existing approaches have demonstrated the feasibility of image-based LiDAR data generation using... |
2111.13613 | Leon Bungert | Leon Bungert, Nicol\'as Garc\'ia Trillos, Ryan Murray | The Geometry of Adversarial Training in Binary Classification | null | Information and Inference: A Journal of the IMA, 2023 | 10.1093/imaiai/iaac029 | null | cs.LG math.AP math.MG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We establish an equivalence between a family of adversarial training problems
for non-parametric binary classification and a family of regularized risk
minimization problems where the regularizer is a nonlocal perimeter functional.
The resulting regularized risk minimization problems admit exact convex
relaxations of... | [
{
"created": "Fri, 26 Nov 2021 17:19:50 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Aug 2022 08:16:49 GMT",
"version": "v2"
}
] | 2023-02-13 | [
[
"Bungert",
"Leon",
""
],
[
"Trillos",
"Nicolás García",
""
],
[
"Murray",
"Ryan",
""
]
] | We establish an equivalence between a family of adversarial training problems for non-parametric binary classification and a family of regularized risk minimization problems where the regularizer is a nonlocal perimeter functional. The resulting regularized risk minimization problems admit exact convex relaxations of t... |
2209.10258 | Dominik Braun | Dominik Braun, Timo M\"uller, Nada Sahlab, Nasser Jazdi, Wolfgang
Schloegl and Michael Weyrich | A graph-based knowledge representation and pattern mining supporting the
Digital Twin creation of existing manufacturing systems | 4 pages, 3 figures. Accepted at IEEE ETFA 2022 | null | 10.1109/ETFA52439.2022.9921707 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The creation of a Digital Twin for existing manufacturing systems, so-called
brownfield systems, is a challenging task due to the needed expert knowledge
about the structure of brownfield systems and the effort to realize the digital
models. Several approaches and methods have already been proposed that at least
part... | [
{
"created": "Wed, 21 Sep 2022 11:08:34 GMT",
"version": "v1"
}
] | 2023-09-04 | [
[
"Braun",
"Dominik",
""
],
[
"Müller",
"Timo",
""
],
[
"Sahlab",
"Nada",
""
],
[
"Jazdi",
"Nasser",
""
],
[
"Schloegl",
"Wolfgang",
""
],
[
"Weyrich",
"Michael",
""
]
] | The creation of a Digital Twin for existing manufacturing systems, so-called brownfield systems, is a challenging task due to the needed expert knowledge about the structure of brownfield systems and the effort to realize the digital models. Several approaches and methods have already been proposed that at least partia... |
1910.10406 | Tetsuo Yokoyama | Hiroki Masuda, Tetsuo Yokoyama | Analyzing Trade-offs in Reversible Linear and Binary Search Algorithms | Proceedings of the Third Workshop on Software Foundations for Data
Interoperability (SFDI2019+), October 28, 2019, Fukuoka, Japan | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reversible algorithms are algorithms in which each step represents a partial
injective function; they are useful for performance optimization in reversible
systems. In this study, using Janus, a reversible imperative high-level
programming language, we have developed reversible linear and binary search
algorithms. We... | [
{
"created": "Wed, 23 Oct 2019 08:24:15 GMT",
"version": "v1"
}
] | 2019-10-24 | [
[
"Masuda",
"Hiroki",
""
],
[
"Yokoyama",
"Tetsuo",
""
]
] | Reversible algorithms are algorithms in which each step represents a partial injective function; they are useful for performance optimization in reversible systems. In this study, using Janus, a reversible imperative high-level programming language, we have developed reversible linear and binary search algorithms. We h... |
2006.13503 | Ali HeydariGorji | Ali HeydariGorji, Seyede Mahya Safavi, Cheng-Ting Lee, Pai H. Chou | Head-mouse: A simple cursor controller based on optical measurement of
head tilt | null | 2017 IEEE Signal Processing in Medicine and Biology Symposium
(SPMB), Philadelphia, PA, 2017, pp. 1-5 | 10.1109/SPMB.2017.8257058 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a wearable wireless mouse-cursor controller that
optically tracks the degree of tilt of the user's head to move the mouse
relative distances and therefore the degrees of tilt. The raw data can be
processed locally on the wearable device before wirelessly transmitting the
mouse-movement reports ov... | [
{
"created": "Wed, 24 Jun 2020 06:06:57 GMT",
"version": "v1"
}
] | 2020-06-25 | [
[
"HeydariGorji",
"Ali",
""
],
[
"Safavi",
"Seyede Mahya",
""
],
[
"Lee",
"Cheng-Ting",
""
],
[
"Chou",
"Pai H.",
""
]
] | This paper describes a wearable wireless mouse-cursor controller that optically tracks the degree of tilt of the user's head to move the mouse relative distances and therefore the degrees of tilt. The raw data can be processed locally on the wearable device before wirelessly transmitting the mouse-movement reports over... |
2105.13774 | Michele Tizzoni | Serena Giurgola, Simone Piaggesi, M\'arton Karsai, Yelena Mejova,
Andr\'e Panisson, Michele Tizzoni | Mapping urban socioeconomic inequalities in developing countries through
Facebook advertising data | null | null | null | null | cs.CY cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Ending poverty in all its forms everywhere is the number one Sustainable
Development Goal of the UN 2030 Agenda. To monitor the progress towards such an
ambitious target, reliable, up-to-date and fine-grained measurements of
socioeconomic indicators are necessary. When it comes to socioeconomic
development, novel dig... | [
{
"created": "Fri, 28 May 2021 12:28:35 GMT",
"version": "v1"
}
] | 2021-05-31 | [
[
"Giurgola",
"Serena",
""
],
[
"Piaggesi",
"Simone",
""
],
[
"Karsai",
"Márton",
""
],
[
"Mejova",
"Yelena",
""
],
[
"Panisson",
"André",
""
],
[
"Tizzoni",
"Michele",
""
]
] | Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress towards such an ambitious target, reliable, up-to-date and fine-grained measurements of socioeconomic indicators are necessary. When it comes to socioeconomic development, novel digit... |
1803.09665 | Tianjian Chen | Tianjian Chen, Maximilian Haas-Heger and Matei Ciocarlie | Underactuated Hand Design Using Mechanically Realizable Manifolds | 7 pages, 6 figures, 2018 IEEE International Conference on Robotics
and Automation (ICRA) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hand synergies, or joint coordination patterns, have become an effective tool
for achieving versatile robotic grasping with simple hands or planning
algorithms. Here we propose a method to determine the hand synergies such that
they can be physically implemented in an underactuated fashion. Given a
kinematic hand mod... | [
{
"created": "Mon, 26 Mar 2018 15:32:24 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Aug 2018 04:36:44 GMT",
"version": "v2"
}
] | 2018-08-02 | [
[
"Chen",
"Tianjian",
""
],
[
"Haas-Heger",
"Maximilian",
""
],
[
"Ciocarlie",
"Matei",
""
]
] | Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a method to determine the hand synergies such that they can be physically implemented in an underactuated fashion. Given a kinematic hand model... |
2203.08426 | Sridhar Iyer | Sridhar Iyer, Rahul Jashvantbhai Pandya, Rakhee Kallimani, Krishna
Pai, Rajashri Khanai, Dattaprasad Torse, Swati Mavinkattimath | Survey on Internet of Things enabled by 6G Wireless Networks | null | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The 6G wireless technology is visualized to revolutionize multiple customer
services with the Internet of Things (IoT), thereby contributing to a
ubiquitous intelligent society comprising autonomous systems. In this chapter,
we conduct a detailed survey on the IoT networks with 6G wireless networks and
investigate th... | [
{
"created": "Wed, 16 Mar 2022 07:00:57 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Iyer",
"Sridhar",
""
],
[
"Pandya",
"Rahul Jashvantbhai",
""
],
[
"Kallimani",
"Rakhee",
""
],
[
"Pai",
"Krishna",
""
],
[
"Khanai",
"Rajashri",
""
],
[
"Torse",
"Dattaprasad",
""
],
[
"Mavinkattimath",
"Swati... | The 6G wireless technology is visualized to revolutionize multiple customer services with the Internet of Things (IoT), thereby contributing to a ubiquitous intelligent society comprising autonomous systems. In this chapter, we conduct a detailed survey on the IoT networks with 6G wireless networks and investigate the ... |
2103.14036 | David Smith | David Smith, Frederik Geth, Elliott Vercoe, Andrew Feutrill, Ming
Ding, Jonathan Chan, James Foster and Thierry Rakotoarivelo | Realistic Differentially-Private Transmission Power Flow Data Release | null | null | null | null | cs.CR cs.AI cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the modeling, design and planning of future energy transmission networks,
it is vital for stakeholders to access faithful and useful power flow data,
while provably maintaining the privacy of business confidentiality of service
providers. This critical challenge has recently been somewhat addressed in [1].
This p... | [
{
"created": "Thu, 25 Mar 2021 04:04:12 GMT",
"version": "v1"
}
] | 2021-03-29 | [
[
"Smith",
"David",
""
],
[
"Geth",
"Frederik",
""
],
[
"Vercoe",
"Elliott",
""
],
[
"Feutrill",
"Andrew",
""
],
[
"Ding",
"Ming",
""
],
[
"Chan",
"Jonathan",
""
],
[
"Foster",
"James",
""
],
[
"Rakot... | For the modeling, design and planning of future energy transmission networks, it is vital for stakeholders to access faithful and useful power flow data, while provably maintaining the privacy of business confidentiality of service providers. This critical challenge has recently been somewhat addressed in [1]. This pap... |
2209.08539 | Zhuozhu Jian | Zhuozhu Jian, Zihong Yan, Xuanang Lei, Zihong Lu, Bin Lan, Xueqian
Wang, Bin Liang | Dynamic Control Barrier Function-based Model Predictive Control to
Safety-Critical Obstacle-Avoidance of Mobile Robot | Submitted to IEEE International Conference on Robotics and Automation
(ICRA) 2023 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an efficient and safe method to avoid static and dynamic
obstacles based on LiDAR. First, point cloud is used to generate a real-time
local grid map for obstacle detection. Then, obstacles are clustered by DBSCAN
algorithm and enclosed with minimum bounding ellipses (MBEs). In addition, data
assoc... | [
{
"created": "Sun, 18 Sep 2022 11:37:10 GMT",
"version": "v1"
}
] | 2022-09-20 | [
[
"Jian",
"Zhuozhu",
""
],
[
"Yan",
"Zihong",
""
],
[
"Lei",
"Xuanang",
""
],
[
"Lu",
"Zihong",
""
],
[
"Lan",
"Bin",
""
],
[
"Wang",
"Xueqian",
""
],
[
"Liang",
"Bin",
""
]
] | This paper presents an efficient and safe method to avoid static and dynamic obstacles based on LiDAR. First, point cloud is used to generate a real-time local grid map for obstacle detection. Then, obstacles are clustered by DBSCAN algorithm and enclosed with minimum bounding ellipses (MBEs). In addition, data associa... |
2310.11398 | Muhan Zhang | Muhan Zhang | Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism
with Neural Networks | Updated the formulas in Section 3.2 "Detailed Methodology" and
revised Section 2 "Background" for clarity and accuracy | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the realm of deep learning, the self-attention mechanism has substantiated
its pivotal role across a myriad of tasks, encompassing natural language
processing and computer vision. Despite achieving success across diverse
applications, the traditional self-attention mechanism primarily leverages
linear transformati... | [
{
"created": "Tue, 17 Oct 2023 17:06:26 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Oct 2023 17:12:49 GMT",
"version": "v2"
}
] | 2023-10-25 | [
[
"Zhang",
"Muhan",
""
]
] | In the realm of deep learning, the self-attention mechanism has substantiated its pivotal role across a myriad of tasks, encompassing natural language processing and computer vision. Despite achieving success across diverse applications, the traditional self-attention mechanism primarily leverages linear transformation... |
1702.07703 | Yury Polyanskiy | M. Dalai and Y. Polyanskiy | Bounds on the reliability of typewriter channels | null | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | New lower and upper bounds on the reliability function of typewriter channels
are given. Our lower bounds improve upon the (multiletter) expurgated bound of
Gallager, furnishing a new and simple counterexample to a conjecture made in
1967 by Shannon, Gallager and Berlekamp on its tightness. The only other known
count... | [
{
"created": "Fri, 24 Feb 2017 18:47:29 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Oct 2017 23:56:59 GMT",
"version": "v2"
}
] | 2017-11-02 | [
[
"Dalai",
"M.",
""
],
[
"Polyanskiy",
"Y.",
""
]
] | New lower and upper bounds on the reliability function of typewriter channels are given. Our lower bounds improve upon the (multiletter) expurgated bound of Gallager, furnishing a new and simple counterexample to a conjecture made in 1967 by Shannon, Gallager and Berlekamp on its tightness. The only other known counter... |
2406.16722 | Yuchen Zou | Yuchen Zou, Yineng Chen, Zuchao Li, Lefei Zhang, Hai Zhao | Venturing into Uncharted Waters: The Navigation Compass from Transformer
to Mamba | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer, a deep neural network architecture, has long dominated the field
of natural language processing and beyond. Nevertheless, the recent
introduction of Mamba challenges its supremacy, sparks considerable interest
among researchers, and gives rise to a series of Mamba-based models that have
exhibited notable... | [
{
"created": "Mon, 24 Jun 2024 15:27:21 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Zou",
"Yuchen",
""
],
[
"Chen",
"Yineng",
""
],
[
"Li",
"Zuchao",
""
],
[
"Zhang",
"Lefei",
""
],
[
"Zhao",
"Hai",
""
]
] | Transformer, a deep neural network architecture, has long dominated the field of natural language processing and beyond. Nevertheless, the recent introduction of Mamba challenges its supremacy, sparks considerable interest among researchers, and gives rise to a series of Mamba-based models that have exhibited notable p... |
2203.13125 | Prasang Gupta | Prasang Gupta, Shaz Hoda and Anand Rao | Intelligent Systematic Investment Agent: an ensemble of deep learning
and evolutionary strategies | 19 pages, 10 figures | null | null | null | cs.AI cs.CY cs.NE | http://creativecommons.org/licenses/by/4.0/ | Machine learning driven trading strategies have garnered a lot of interest
over the past few years. There is, however, limited consensus on the ideal
approach for the development of such trading strategies. Further, most
literature has focused on trading strategies for short-term trading, with
little or no focus on s... | [
{
"created": "Thu, 24 Mar 2022 15:39:05 GMT",
"version": "v1"
}
] | 2022-03-25 | [
[
"Gupta",
"Prasang",
""
],
[
"Hoda",
"Shaz",
""
],
[
"Rao",
"Anand",
""
]
] | Machine learning driven trading strategies have garnered a lot of interest over the past few years. There is, however, limited consensus on the ideal approach for the development of such trading strategies. Further, most literature has focused on trading strategies for short-term trading, with little or no focus on str... |
0905.0792 | Jan Treibig | Jan Treibig, Georg Hager | Introducing a Performance Model for Bandwidth-Limited Loop Kernels | 8 pages | null | null | null | cs.PF cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a performance model for bandwidth limited loop kernels which is
founded on the analysis of modern cache based microarchitectures. This model
allows an accurate performance prediction and evaluation for existing
instruction codes. It provides an in-depth understanding of how performance for
different memory... | [
{
"created": "Wed, 6 May 2009 10:55:04 GMT",
"version": "v1"
}
] | 2009-05-07 | [
[
"Treibig",
"Jan",
""
],
[
"Hager",
"Georg",
""
]
] | We present a performance model for bandwidth limited loop kernels which is founded on the analysis of modern cache based microarchitectures. This model allows an accurate performance prediction and evaluation for existing instruction codes. It provides an in-depth understanding of how performance for different memory h... |
2012.15006 | Shimiao Li | Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos and
Larry Pileggi | Dynamic Graph-Based Anomaly Detection in the Electrical Grid | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given sensor readings over time from a power grid, how can we accurately
detect when an anomaly occurs? A key part of achieving this goal is to use the
network of power grid sensors to quickly detect, in real-time, when any unusual
events, whether natural faults or malicious, occur on the power grid. Existing
bad-dat... | [
{
"created": "Wed, 30 Dec 2020 02:25:07 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jan 2021 02:06:38 GMT",
"version": "v2"
},
{
"created": "Wed, 29 Sep 2021 22:12:30 GMT",
"version": "v3"
},
{
"created": "Thu, 2 Dec 2021 21:22:38 GMT",
"version": "v4"
}
] | 2021-12-06 | [
[
"Li",
"Shimiao",
""
],
[
"Pandey",
"Amritanshu",
""
],
[
"Hooi",
"Bryan",
""
],
[
"Faloutsos",
"Christos",
""
],
[
"Pileggi",
"Larry",
""
]
] | Given sensor readings over time from a power grid, how can we accurately detect when an anomaly occurs? A key part of achieving this goal is to use the network of power grid sensors to quickly detect, in real-time, when any unusual events, whether natural faults or malicious, occur on the power grid. Existing bad-data ... |
2206.12708 | Syrine Belakaria | Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi, Rishit Sheth | Bayesian Optimization Over Iterative Learners with Structured Responses:
A Budget-aware Planning Approach | null | Proceedings of the 26th International Conference on Artificial
Intelligence and Statistics (AISTATS) 2023 | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rising growth of deep neural networks (DNNs) and datasets in size
motivates the need for efficient solutions for simultaneous model selection and
training. Many methods for hyperparameter optimization (HPO) of iterative
learners, including DNNs, attempt to solve this problem by querying and
learning a response su... | [
{
"created": "Sat, 25 Jun 2022 18:44:06 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Jul 2022 02:20:00 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Feb 2023 17:30:01 GMT",
"version": "v3"
}
] | 2023-02-28 | [
[
"Belakaria",
"Syrine",
""
],
[
"Doppa",
"Janardhan Rao",
""
],
[
"Fusi",
"Nicolo",
""
],
[
"Sheth",
"Rishit",
""
]
] | The rising growth of deep neural networks (DNNs) and datasets in size motivates the need for efficient solutions for simultaneous model selection and training. Many methods for hyperparameter optimization (HPO) of iterative learners, including DNNs, attempt to solve this problem by querying and learning a response surf... |
1702.00135 | Ding Zhao | Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc | Analysis of Unprotected Intersection Left-Turn Conflicts based on
Naturalistic Driving Data | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Analyzing and reconstructing driving scenarios is crucial for testing and
evaluating automated vehicles. This research analyzed left turn /
straight-driving conflicts at unprotected intersections by extracting actual
vehicle motion data from a naturalistic driving database collected by the
University of Michigan. Nea... | [
{
"created": "Wed, 1 Feb 2017 05:12:58 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Apr 2017 13:15:16 GMT",
"version": "v2"
}
] | 2017-04-04 | [
[
"Wang",
"Xinpeng",
""
],
[
"Zhao",
"Ding",
""
],
[
"Peng",
"Huei",
""
],
[
"LeBlanc",
"David J.",
""
]
] | Analyzing and reconstructing driving scenarios is crucial for testing and evaluating automated vehicles. This research analyzed left turn / straight-driving conflicts at unprotected intersections by extracting actual vehicle motion data from a naturalistic driving database collected by the University of Michigan. Nearl... |
1407.4335 | Rehman Talukdar | Rehman Talukdar and Mridul Saikia | Evolution and Innovation in 5G Cellular Communication System and Beyond:
A Study | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since the last few years there has been a phenomenal growth in the wireless
industry. Widespread wireless technologies, increasing variety of user-friendly
and multimedia- enabled terminals and wider availability of open source tools
for content generation has lead encouraged user-centric networks resulting in a
need... | [
{
"created": "Wed, 16 Jul 2014 15:08:45 GMT",
"version": "v1"
}
] | 2014-07-17 | [
[
"Talukdar",
"Rehman",
""
],
[
"Saikia",
"Mridul",
""
]
] | Since the last few years there has been a phenomenal growth in the wireless industry. Widespread wireless technologies, increasing variety of user-friendly and multimedia- enabled terminals and wider availability of open source tools for content generation has lead encouraged user-centric networks resulting in a need f... |
1807.04518 | Melanie Schmidt | Dan Feldman and Melanie Schmidt and Christian Sohler | Turning Big data into tiny data: Constant-size coresets for k-means, PCA
and projective clustering | The conference version of this work appeared at SODA 2013 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop and analyze a method to reduce the size of a very large set of
data points in a high dimensional Euclidean space R d to a small set of
weighted points such that the result of a predetermined data analysis task on
the reduced set is approximately the same as that for the original point set.
For example, com... | [
{
"created": "Thu, 12 Jul 2018 10:25:12 GMT",
"version": "v1"
}
] | 2018-07-13 | [
[
"Feldman",
"Dan",
""
],
[
"Schmidt",
"Melanie",
""
],
[
"Sohler",
"Christian",
""
]
] | We develop and analyze a method to reduce the size of a very large set of data points in a high dimensional Euclidean space R d to a small set of weighted points such that the result of a predetermined data analysis task on the reduced set is approximately the same as that for the original point set. For example, compu... |
1704.02806 | Zeinab Yazdanshenasan Shahraki | Zeinab Yazdanshenasan, Harpreet S. Dhillon, and Peter Han Joo Chong | Serving Distance and Coverage in a Closed Access PHP-Based Heterogeneous
Cellular Network | Proc., Biennial Symposium on Communications (BSC), 2016 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heterogeneous cellular networks (HCNs) usually exhibit spatial separation
amongst base stations (BSs) of different types (termed tiers in this paper).
For instance, operators will usually not deploy a picocell in close proximity
to a macrocell, thus inducing separation amongst the locations of pico and
macrocells. Th... | [
{
"created": "Mon, 10 Apr 2017 11:18:32 GMT",
"version": "v1"
}
] | 2017-04-11 | [
[
"Yazdanshenasan",
"Zeinab",
""
],
[
"Dhillon",
"Harpreet S.",
""
],
[
"Chong",
"Peter Han Joo",
""
]
] | Heterogeneous cellular networks (HCNs) usually exhibit spatial separation amongst base stations (BSs) of different types (termed tiers in this paper). For instance, operators will usually not deploy a picocell in close proximity to a macrocell, thus inducing separation amongst the locations of pico and macrocells. This... |
1205.3655 | Asia Furones | Asia Furones | P versus UP | Administratively withdrawn due to policy violations | null | null | null | cs.CC | http://creativecommons.org/licenses/by/3.0/ | Admin note: withdrawn by arXiv admin because of the use of a pseudonym, in
violation of arXiv policy.
| [
{
"created": "Wed, 16 May 2012 12:26:51 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Jun 2012 16:18:48 GMT",
"version": "v2"
},
{
"created": "Mon, 23 Jul 2012 18:05:31 GMT",
"version": "v3"
},
{
"created": "Mon, 13 Aug 2012 17:37:36 GMT",
"version": "v4"
},
{
"cr... | 2014-07-18 | [
[
"Furones",
"Asia",
""
]
] | Admin note: withdrawn by arXiv admin because of the use of a pseudonym, in violation of arXiv policy. |
1306.3721 | Huahua Wang | Huahua Wang and Arindam Banerjee | Online Alternating Direction Method (longer version) | Longer version of arXiv:1206.6448 | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online optimization has emerged as powerful tool in large scale optimization.
In this pa- per, we introduce efficient online optimization algorithms based on
the alternating direction method (ADM), which can solve online convex
optimization under linear constraints where the objective could be non-smooth.
We introduc... | [
{
"created": "Mon, 17 Jun 2013 01:27:10 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Jul 2013 18:36:18 GMT",
"version": "v2"
}
] | 2013-07-11 | [
[
"Wang",
"Huahua",
""
],
[
"Banerjee",
"Arindam",
""
]
] | Online optimization has emerged as powerful tool in large scale optimization. In this pa- per, we introduce efficient online optimization algorithms based on the alternating direction method (ADM), which can solve online convex optimization under linear constraints where the objective could be non-smooth. We introduce ... |
0705.0350 | Ruslan Sharipov | Ruslan Sharipov | Algorithms for laying points optimally on a plane and a circle | AmSTeX, 6 pages, amsppt style | null | null | null | cs.CG math.OC | null | Two averaging algorithms are considered which are intended for choosing an
optimal plane and an optimal circle approximating a group of points in
three-dimensional Euclidean space.
| [
{
"created": "Wed, 2 May 2007 19:41:44 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Sharipov",
"Ruslan",
""
]
] | Two averaging algorithms are considered which are intended for choosing an optimal plane and an optimal circle approximating a group of points in three-dimensional Euclidean space. |
2206.11187 | Muhammed Fatih Bulut | Abdulhamid Adebayo, Daby Sow, Muhammed Fatih Bulut | Automated Compliance Blueprint Optimization with Artificial Intelligence | 5 pages | null | null | null | cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For highly regulated industries such as banking and healthcare, one of the
major hindrances to the adoption of cloud computing is compliance with
regulatory standards. This is a complex problem due to many regulatory and
technical specification (techspec) documents that the companies need to comply
with. The critical... | [
{
"created": "Wed, 22 Jun 2022 15:59:16 GMT",
"version": "v1"
}
] | 2022-06-23 | [
[
"Adebayo",
"Abdulhamid",
""
],
[
"Sow",
"Daby",
""
],
[
"Bulut",
"Muhammed Fatih",
""
]
] | For highly regulated industries such as banking and healthcare, one of the major hindrances to the adoption of cloud computing is compliance with regulatory standards. This is a complex problem due to many regulatory and technical specification (techspec) documents that the companies need to comply with. The critical p... |
2403.04460 | Minju Kim | Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo
Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee | Pearl: A Review-driven Persona-Knowledge Grounded Conversational
Recommendation Dataset | Published at ACL 2024 Findings | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Conversational recommender system is an emerging area that has garnered an
increasing interest in the community, especially with the advancements in large
language models (LLMs) that enable diverse reasoning over conversational input.
Despite the progress, the field has many aspects left to explore. The currently
ava... | [
{
"created": "Thu, 7 Mar 2024 12:57:16 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Mar 2024 04:54:31 GMT",
"version": "v2"
},
{
"created": "Fri, 5 Apr 2024 11:11:01 GMT",
"version": "v3"
},
{
"created": "Sat, 8 Jun 2024 17:40:14 GMT",
"version": "v4"
}
] | 2024-06-11 | [
[
"Kim",
"Minjin",
""
],
[
"Kim",
"Minju",
""
],
[
"Kim",
"Hana",
""
],
[
"Kwak",
"Beong-woo",
""
],
[
"Chun",
"Soyeon",
""
],
[
"Kim",
"Hyunseo",
""
],
[
"Kang",
"SeongKu",
""
],
[
"Yu",
"Youngja... | Conversational recommender system is an emerging area that has garnered an increasing interest in the community, especially with the advancements in large language models (LLMs) that enable diverse reasoning over conversational input. Despite the progress, the field has many aspects left to explore. The currently avail... |
2111.10188 | Seyed Jalaleddin Mousavirad | Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego
Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand | HMS-OS: Improving the Human Mental Search Optimisation Algorithm by
Grouping in both Search and Objective Space | 7 pages, IEEE Symposium Series on Computational Intelligence (IEEE
SSCI 2021), Orlando, USA | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The human mental search (HMS) algorithm is a relatively recent
population-based metaheuristic algorithm, which has shown competitive
performance in solving complex optimisation problems. It is based on three main
operators: mental search, grouping, and movement. In the original HMS
algorithm, a clustering algorithm i... | [
{
"created": "Fri, 19 Nov 2021 12:56:33 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Dec 2021 16:19:06 GMT",
"version": "v2"
}
] | 2021-12-06 | [
[
"Mousavirad",
"Seyed Jalaleddin",
""
],
[
"Schaefer",
"Gerald",
""
],
[
"Korovin",
"Iakov",
""
],
[
"Oliva",
"Diego",
""
],
[
"Moghadam",
"Mahshid Helali",
""
],
[
"Saadatmand",
"Mehrdad",
""
]
] | The human mental search (HMS) algorithm is a relatively recent population-based metaheuristic algorithm, which has shown competitive performance in solving complex optimisation problems. It is based on three main operators: mental search, grouping, and movement. In the original HMS algorithm, a clustering algorithm is ... |
2305.15594 | Haonan Duan | Haonan Duan, Adam Dziedzic, Nicolas Papernot, Franziska Boenisch | Flocks of Stochastic Parrots: Differentially Private Prompt Learning for
Large Language Models | null | null | null | null | cs.LG cs.CL cs.CR | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) are excellent in-context learners. However, the
sensitivity of data contained in prompts raises privacy concerns. Our work
first shows that these concerns are valid: we instantiate a simple but highly
effective membership inference attack against the data used to prompt LLMs. To
address t... | [
{
"created": "Wed, 24 May 2023 22:06:08 GMT",
"version": "v1"
}
] | 2023-05-26 | [
[
"Duan",
"Haonan",
""
],
[
"Dziedzic",
"Adam",
""
],
[
"Papernot",
"Nicolas",
""
],
[
"Boenisch",
"Franziska",
""
]
] | Large language models (LLMs) are excellent in-context learners. However, the sensitivity of data contained in prompts raises privacy concerns. Our work first shows that these concerns are valid: we instantiate a simple but highly effective membership inference attack against the data used to prompt LLMs. To address thi... |
2303.13024 | Hamid Ghaderi | Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan
K. Reddy, Vignesh Subbian | Identifying TBI Physiological States by Clustering Multivariate Clinical
Time-Series Data | 10 pages, 7 figures, 2 tables | AMIA Annu Symp Proc. 2024 Jan 11;2023:379-388 | null | null | cs.LG cs.AI eess.SP | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Determining clinically relevant physiological states from multivariate time
series data with missing values is essential for providing appropriate
treatment for acute conditions such as Traumatic Brain Injury (TBI),
respiratory failure, and heart failure. Utilizing non-temporal clustering or
data imputation and aggre... | [
{
"created": "Thu, 23 Mar 2023 04:16:00 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Mar 2023 10:50:11 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jul 2023 03:06:42 GMT",
"version": "v3"
}
] | 2024-03-29 | [
[
"Ghaderi",
"Hamid",
""
],
[
"Foreman",
"Brandon",
""
],
[
"Nayebi",
"Amin",
""
],
[
"Tipirneni",
"Sindhu",
""
],
[
"Reddy",
"Chandan K.",
""
],
[
"Subbian",
"Vignesh",
""
]
] | Determining clinically relevant physiological states from multivariate time series data with missing values is essential for providing appropriate treatment for acute conditions such as Traumatic Brain Injury (TBI), respiratory failure, and heart failure. Utilizing non-temporal clustering or data imputation and aggrega... |
2212.13974 | Hichem Sahbi | Hichem Sahbi and Sebastien Deschamps | Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image
Change Detection | arXiv admin note: substantial text overlap with arXiv:2203.11559 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Satellite image change detection aims at finding occurrences of targeted
changes in a given scene taken at different instants. This task is highly
challenging due to the acquisition conditions and also to the subjectivity of
changes. In this paper, we investigate satellite image change detection using
active learning... | [
{
"created": "Wed, 28 Dec 2022 17:46:20 GMT",
"version": "v1"
}
] | 2022-12-29 | [
[
"Sahbi",
"Hichem",
""
],
[
"Deschamps",
"Sebastien",
""
]
] | Satellite image change detection aims at finding occurrences of targeted changes in a given scene taken at different instants. This task is highly challenging due to the acquisition conditions and also to the subjectivity of changes. In this paper, we investigate satellite image change detection using active learning. ... |
1911.00516 | Martin Barrere | Mart\'in Barr\`ere, Chris Hankin, Nicolas Nicolau, Demetrios G.
Eliades, Thomas Parisini | MaxSAT Evaluation 2019 -- Benchmark: Identifying Security-Critical
Cyber-Physical Components in Weighted AND/OR Graphs | arXiv admin note: substantial text overlap with arXiv:1905.04796 | null | null | null | cs.CR cs.NI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a MaxSAT benchmark focused on identifying critical nodes
in AND/OR graphs. We use AND/OR graphs to model Industrial Control Systems
(ICS) as they are able to semantically grasp intricate logical
interdependencies among ICS components. However, identifying critical nodes in
AND/OR graphs is an NP-c... | [
{
"created": "Fri, 1 Nov 2019 17:24:16 GMT",
"version": "v1"
}
] | 2019-11-05 | [
[
"Barrère",
"Martín",
""
],
[
"Hankin",
"Chris",
""
],
[
"Nicolau",
"Nicolas",
""
],
[
"Eliades",
"Demetrios G.",
""
],
[
"Parisini",
"Thomas",
""
]
] | This paper presents a MaxSAT benchmark focused on identifying critical nodes in AND/OR graphs. We use AND/OR graphs to model Industrial Control Systems (ICS) as they are able to semantically grasp intricate logical interdependencies among ICS components. However, identifying critical nodes in AND/OR graphs is an NP-com... |
1411.6714 | Ahmed Elgammal | Emily L. Spratt and Ahmed Elgammal | The Digital Humanities Unveiled: Perceptions Held by Art Historians and
Computer Scientists about Computer Vision Technology | arXiv admin note: substantial text overlap with arXiv:1410.2488 | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although computer scientists are generally familiar with the achievements of
computer vision technology in art history, these accomplishments are little
known and often misunderstood by scholars in the humanities. To clarify the
parameters of this seeming disjuncture, we have addressed the concerns that one
example o... | [
{
"created": "Tue, 25 Nov 2014 03:16:02 GMT",
"version": "v1"
}
] | 2014-11-26 | [
[
"Spratt",
"Emily L.",
""
],
[
"Elgammal",
"Ahmed",
""
]
] | Although computer scientists are generally familiar with the achievements of computer vision technology in art history, these accomplishments are little known and often misunderstood by scholars in the humanities. To clarify the parameters of this seeming disjuncture, we have addressed the concerns that one example of ... |
1403.1591 | Jinchun Zhan | Jinchun Zhan and Namrata Vaswani | Robust PCA with Partial Subspace Knowledge | 19 pages, 9 figures, submitted to IEEE Transaction on Signal
Processing | null | 10.1109/TSP.2015.2421485 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent work, robust Principal Components Analysis (PCA) has been posed as
a problem of recovering a low-rank matrix $\mathbf{L}$ and a sparse matrix
$\mathbf{S}$ from their sum, $\mathbf{M}:= \mathbf{L} + \mathbf{S}$ and a
provably exact convex optimization solution called PCP has been proposed. This
work studies ... | [
{
"created": "Thu, 6 Mar 2014 21:10:15 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Aug 2014 16:36:57 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Aug 2014 19:40:59 GMT",
"version": "v3"
},
{
"created": "Fri, 26 Dec 2014 17:49:57 GMT",
"version": "v4"
}
] | 2023-07-19 | [
[
"Zhan",
"Jinchun",
""
],
[
"Vaswani",
"Namrata",
""
]
] | In recent work, robust Principal Components Analysis (PCA) has been posed as a problem of recovering a low-rank matrix $\mathbf{L}$ and a sparse matrix $\mathbf{S}$ from their sum, $\mathbf{M}:= \mathbf{L} + \mathbf{S}$ and a provably exact convex optimization solution called PCP has been proposed. This work studies th... |
2310.12551 | Jingwei Song | Jingwei Song, Keke Yang, Zheng Zhang, Meng Li, Tuoyu Cao, Maani
Ghaffari | Iterative PnP and its application in 3D-2D vascular image registration
for robot navigation | Submitted to ICRA 2024 Errors in Eq. 4 and Eq. 6 have been corrected.
Updates include some minor improvements in Section II | null | null | null | cs.RO eess.IV | http://creativecommons.org/licenses/by/4.0/ | This paper reports on a new real-time robot-centered 3D-2D vascular image
alignment algorithm, which is robust to outliers and can align nonrigid shapes.
Few works have managed to achieve both real-time and accurate performance for
vascular intervention robots. This work bridges high-accuracy 3D-2D
registration techn... | [
{
"created": "Thu, 19 Oct 2023 07:59:26 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jan 2024 09:07:51 GMT",
"version": "v2"
}
] | 2024-01-12 | [
[
"Song",
"Jingwei",
""
],
[
"Yang",
"Keke",
""
],
[
"Zhang",
"Zheng",
""
],
[
"Li",
"Meng",
""
],
[
"Cao",
"Tuoyu",
""
],
[
"Ghaffari",
"Maani",
""
]
] | This paper reports on a new real-time robot-centered 3D-2D vascular image alignment algorithm, which is robust to outliers and can align nonrigid shapes. Few works have managed to achieve both real-time and accurate performance for vascular intervention robots. This work bridges high-accuracy 3D-2D registration techniq... |
2109.13116 | Ekta Sood | Ekta Sood, Fabian K\"ogel, Florian Strohm, Prajit Dhar, Andreas
Bulling | VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual
Question Answering | CoNLL 2021 | null | null | null | cs.CV cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze
on both images and questions during visual question answering (VQA) collected
using a high-speed eye tracker. We use our dataset to analyze the similarity
between human and neural attentive strategies learned by five state-of-the-art
VQA mo... | [
{
"created": "Mon, 27 Sep 2021 15:06:10 GMT",
"version": "v1"
}
] | 2021-09-28 | [
[
"Sood",
"Ekta",
""
],
[
"Kögel",
"Fabian",
""
],
[
"Strohm",
"Florian",
""
],
[
"Dhar",
"Prajit",
""
],
[
"Bulling",
"Andreas",
""
]
] | We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye tracker. We use our dataset to analyze the similarity between human and neural attentive strategies learned by five state-of-the-art VQA mode... |
2104.07969 | Jason Wang | Jason Wang and Robert E. Weiss | Hierarchical Topic Presence Models | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Topic models analyze text from a set of documents. Documents are modeled as a
mixture of topics, with topics defined as probability distributions on words.
Inferences of interest include the most probable topics and characterization of
a topic by inspecting the topic's highest probability words. Motivated by a
data s... | [
{
"created": "Fri, 16 Apr 2021 08:41:07 GMT",
"version": "v1"
}
] | 2021-04-19 | [
[
"Wang",
"Jason",
""
],
[
"Weiss",
"Robert E.",
""
]
] | Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest include the most probable topics and characterization of a topic by inspecting the topic's highest probability words. Motivated by a data set... |
1408.0262 | Girish Varma | Girish Varma | Reducing uniformity in Khot-Saket hypergraph coloring hardness
reductions | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a recent result, Khot and Saket [FOCS 2014] proved the quasi-NP-hardness
of coloring a 2-colorable 12-uniform hypergraph with $2^{(\log n)^{\Omega(1)}}$
colors. This result was proved using a novel outer PCP verifier which had a
strong soundness guarantee. In this note, we show that we can reduce the arity
of thei... | [
{
"created": "Fri, 1 Aug 2014 18:49:47 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Aug 2014 06:56:38 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Dec 2014 17:20:45 GMT",
"version": "v3"
},
{
"created": "Thu, 11 Dec 2014 06:18:40 GMT",
"version": "v4"
}
] | 2014-12-12 | [
[
"Varma",
"Girish",
""
]
] | In a recent result, Khot and Saket [FOCS 2014] proved the quasi-NP-hardness of coloring a 2-colorable 12-uniform hypergraph with $2^{(\log n)^{\Omega(1)}}$ colors. This result was proved using a novel outer PCP verifier which had a strong soundness guarantee. In this note, we show that we can reduce the arity of their ... |
1908.06752 | Aakanksha Rana | Aakanksha Rana, Cagri Ozcinar, Aljoscha Smolic | Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality | ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP) | null | 10.1109/ICASSP.2019.8683318 | null | cs.SD cs.CV cs.LG cs.MM eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ambisonics i.e., a full-sphere surround sound, is quintessential with
360-degree visual content to provide a realistic virtual reality (VR)
experience. While 360-degree visual content capture gained a tremendous boost
recently, the estimation of corresponding spatial sound is still challenging
due to the required sou... | [
{
"created": "Fri, 16 Aug 2019 14:49:30 GMT",
"version": "v1"
}
] | 2019-08-20 | [
[
"Rana",
"Aakanksha",
""
],
[
"Ozcinar",
"Cagri",
""
],
[
"Smolic",
"Aljoscha",
""
]
] | Ambisonics i.e., a full-sphere surround sound, is quintessential with 360-degree visual content to provide a realistic virtual reality (VR) experience. While 360-degree visual content capture gained a tremendous boost recently, the estimation of corresponding spatial sound is still challenging due to the required sound... |
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