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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2206.11395 | Homa Nikbakht | Homa Nikbakht, Mich\`ele Wigger, Shlomo Shamai (Shitz), Jean-Marie
Gorce, and H. Vincent Poor | Joint Coding of URLLC and eMBB in Wyner's Soft-Handoff Network in the
Finite Blocklength Regime | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-sa/4.0/ | Wyner's soft-handoff network is considered where transmitters simultaneously
send messages of enhanced mobile broadband (eMBB) and ultra-reliable
low-latency communication (URLLC) services. Due to the low-latency
requirements, the URLLC messages are transmitted over fewer channel uses
compared to the eMBB messages. T... | [
{
"created": "Wed, 22 Jun 2022 21:50:02 GMT",
"version": "v1"
}
] | 2022-06-24 | [
[
"Nikbakht",
"Homa",
"",
"Shitz"
],
[
"Wigger",
"Michèle",
"",
"Shitz"
],
[
"Shamai",
"Shlomo",
"",
"Shitz"
],
[
"Gorce",
"Jean-Marie",
""
],
[
"Poor",
"H. Vincent",
""
]
] | Wyner's soft-handoff network is considered where transmitters simultaneously send messages of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services. Due to the low-latency requirements, the URLLC messages are transmitted over fewer channel uses compared to the eMBB messages. To ... |
2002.08568 | Reza Mirzazade Farkhani | Yaohui Chen, Mansour Ahmadi, Reza Mirzazade farkhani, Boyu Wang, and
Long Lu | MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing | The 23rd International Symposium on Research in Attacks, Intrusions
and Defenses (RAID), Donostia / San Sebastian, Spain, October 2020 | null | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Seed scheduling is a prominent factor in determining the yields of hybrid
fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuristics that
aim to predict input utilities. However, such heuristics are not generalizable
as there exists no one-size-fits-all rule applicable to different programs.
They may w... | [
{
"created": "Thu, 20 Feb 2020 05:02:25 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Jul 2020 03:27:51 GMT",
"version": "v2"
}
] | 2020-07-23 | [
[
"Chen",
"Yaohui",
""
],
[
"Ahmadi",
"Mansour",
""
],
[
"farkhani",
"Reza Mirzazade",
""
],
[
"Wang",
"Boyu",
""
],
[
"Lu",
"Long",
""
]
] | Seed scheduling is a prominent factor in determining the yields of hybrid fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuristics that aim to predict input utilities. However, such heuristics are not generalizable as there exists no one-size-fits-all rule applicable to different programs. They may wor... |
1810.11194 | Mohsen Khorasany | Mohsen Khorasany, Yateendra Mishra, Gerard Ledwich | Distributed Market Clearing Approach for Local Energy Trading in
Transactive Market | Accepted paper. To appear in PESGM 2018, Portland, OR, 2018 | null | null | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a market clearing mechanism for energy trading in a local
transactive market, where each player can participate in the market as seller
or buyer and tries to maximize its welfare individually. Market players send
their demand and supply to a local data center, where clearing price is
determined to... | [
{
"created": "Fri, 26 Oct 2018 05:45:26 GMT",
"version": "v1"
}
] | 2018-10-29 | [
[
"Khorasany",
"Mohsen",
""
],
[
"Mishra",
"Yateendra",
""
],
[
"Ledwich",
"Gerard",
""
]
] | This paper proposes a market clearing mechanism for energy trading in a local transactive market, where each player can participate in the market as seller or buyer and tries to maximize its welfare individually. Market players send their demand and supply to a local data center, where clearing price is determined to b... |
2102.11062 | Martin Ferianc | Martin Ferianc, Partha Maji, Matthew Mattina and Miguel Rodrigues | On the Effects of Quantisation on Model Uncertainty in Bayesian Neural
Networks | Accepted at UAI2021. Code at:
https://github.com/martinferianc/quantised-bayesian-nets | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian neural networks (BNNs) are making significant progress in many
research areas where decision-making needs to be accompanied by uncertainty
estimation. Being able to quantify uncertainty while making decisions is
essential for understanding when the model is over-/under-confident, and hence
BNNs are attractin... | [
{
"created": "Mon, 22 Feb 2021 14:36:29 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Jun 2021 13:20:28 GMT",
"version": "v2"
}
] | 2021-06-07 | [
[
"Ferianc",
"Martin",
""
],
[
"Maji",
"Partha",
""
],
[
"Mattina",
"Matthew",
""
],
[
"Rodrigues",
"Miguel",
""
]
] | Bayesian neural networks (BNNs) are making significant progress in many research areas where decision-making needs to be accompanied by uncertainty estimation. Being able to quantify uncertainty while making decisions is essential for understanding when the model is over-/under-confident, and hence BNNs are attracting ... |
2406.14758 | Bill Marino | Bill Marino and Preslav Aleksandrov and Carwyn Rahman and Yulu Pi and
Bill Shen and Rui-jie Yew and Nicholas D. Lane | Compliance Cards: Computational Artifacts for Automated AI Regulation
Compliance | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the artificial intelligence (AI) supply chain grows more complex, AI
systems and models are increasingly likely to incorporate externally-sourced
ingredients such as datasets and other models. In such cases, determining
whether or not an AI system or model complies with the EU AI Act will require
gathering complia... | [
{
"created": "Thu, 20 Jun 2024 22:07:15 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Marino",
"Bill",
""
],
[
"Aleksandrov",
"Preslav",
""
],
[
"Rahman",
"Carwyn",
""
],
[
"Pi",
"Yulu",
""
],
[
"Shen",
"Bill",
""
],
[
"Yew",
"Rui-jie",
""
],
[
"Lane",
"Nicholas D.",
""
]
] | As the artificial intelligence (AI) supply chain grows more complex, AI systems and models are increasingly likely to incorporate externally-sourced ingredients such as datasets and other models. In such cases, determining whether or not an AI system or model complies with the EU AI Act will require gathering complianc... |
1907.05214 | Artur Souza | Artur Souza, Ant\^onio A. F. Loureiro, Leonardo B. Oliveira | Challenges and Directions for Authentication in Pervasive Computing | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We quickly approach a "pervasive future" where pervasive computing is the
norm. In this scenario, humans are surrounded by a multitude of heterogeneous
devices that assist them in almost every aspect of their daily routines. The
realization of this future demands strong authentication guarantees to ensure
that these ... | [
{
"created": "Thu, 11 Jul 2019 14:08:03 GMT",
"version": "v1"
}
] | 2019-07-12 | [
[
"Souza",
"Artur",
""
],
[
"Loureiro",
"Antônio A. F.",
""
],
[
"Oliveira",
"Leonardo B.",
""
]
] | We quickly approach a "pervasive future" where pervasive computing is the norm. In this scenario, humans are surrounded by a multitude of heterogeneous devices that assist them in almost every aspect of their daily routines. The realization of this future demands strong authentication guarantees to ensure that these de... |
1102.3465 | EPTCS | Eduardo Bonelli (Universidad Nacional de Quilmes) | Proceedings 5th International Workshop on Higher-Order Rewriting | null | EPTCS 49, 2011 | 10.4204/EPTCS.49 | null | cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | HOR 2010 is a forum to present work concerning all aspects of higher-order
rewriting. The aim is to provide an informal and friendly setting to discuss
recent work and work in progress. Previous editions of HOR were held in
Copenhagen - Denmark (HOR 2002), Aachen - Germany (HOR 2004), Seattle - USA
(HOR 2006) and Par... | [
{
"created": "Thu, 17 Feb 2011 01:14:50 GMT",
"version": "v1"
}
] | 2011-02-18 | [
[
"Bonelli",
"Eduardo",
"",
"Universidad Nacional de Quilmes"
]
] | HOR 2010 is a forum to present work concerning all aspects of higher-order rewriting. The aim is to provide an informal and friendly setting to discuss recent work and work in progress. Previous editions of HOR were held in Copenhagen - Denmark (HOR 2002), Aachen - Germany (HOR 2004), Seattle - USA (HOR 2006) and Paris... |
2403.11747 | Nicholas Popovic | Nicholas Popovi\v{c} and Michael F\"arber | Embedded Named Entity Recognition using Probing Classifiers | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Extracting semantic information from generated text is a useful tool for
applications such as automated fact checking or retrieval augmented generation.
Currently, this requires either separate models during inference, which
increases computational cost, or destructive fine-tuning of the language model.
Instead, we p... | [
{
"created": "Mon, 18 Mar 2024 12:58:16 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Popovič",
"Nicholas",
""
],
[
"Färber",
"Michael",
""
]
] | Extracting semantic information from generated text is a useful tool for applications such as automated fact checking or retrieval augmented generation. Currently, this requires either separate models during inference, which increases computational cost, or destructive fine-tuning of the language model. Instead, we pro... |
1604.04815 | Yongchao Liu | Yongchao Liu, Srinivas Aluru | LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors | 21 pages, 6 figures, submitted to Journal of Parallel and Distributed
Computing on Jan 09, 2016 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scan (or prefix sum) is a fundamental and widely used primitive in parallel
computing. In this paper, we present LightScan, a faster parallel scan
primitive for CUDA-enabled GPUs, which investigates a hybrid model combining
intra-block computation and inter-block communication to perform a scan. Our
algorithm employs... | [
{
"created": "Sun, 17 Apr 2016 01:22:58 GMT",
"version": "v1"
}
] | 2016-04-19 | [
[
"Liu",
"Yongchao",
""
],
[
"Aluru",
"Srinivas",
""
]
] | Scan (or prefix sum) is a fundamental and widely used primitive in parallel computing. In this paper, we present LightScan, a faster parallel scan primitive for CUDA-enabled GPUs, which investigates a hybrid model combining intra-block computation and inter-block communication to perform a scan. Our algorithm employs w... |
1804.11128 | Zhibin Liang | T-H. Hubert Chan and Zhibin Liang | Generalizing the Hypergraph Laplacian via a Diffusion Process with
Mediators | arXiv admin note: text overlap with arXiv:1605.01483 | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a recent breakthrough STOC~2015 paper, a continuous diffusion process was
considered on hypergraphs (which has been refined in a recent JACM 2018 paper)
to define a Laplacian operator, whose spectral properties satisfy the
celebrated Cheeger's inequality. However, one peculiar aspect of this diffusion
process is t... | [
{
"created": "Mon, 30 Apr 2018 11:29:33 GMT",
"version": "v1"
}
] | 2018-05-01 | [
[
"Chan",
"T-H. Hubert",
""
],
[
"Liang",
"Zhibin",
""
]
] | In a recent breakthrough STOC~2015 paper, a continuous diffusion process was considered on hypergraphs (which has been refined in a recent JACM 2018 paper) to define a Laplacian operator, whose spectral properties satisfy the celebrated Cheeger's inequality. However, one peculiar aspect of this diffusion process is tha... |
1703.08912 | Jing Lou | Jing Lou, Huan Wang, Longtao Chen, Fenglei Xu, Qingyuan Xia, Wei Zhu,
Mingwu Ren | Exploiting Color Name Space for Salient Object Detection | http://www.loujing.com/cns-sod/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we will investigate the contribution of color names for the
task of salient object detection. An input image is first converted to color
name space, which is consisted of 11 probabilistic channels. By exploiting a
surroundedness cue, we obtain a saliency map through a linear combination of a
set of seq... | [
{
"created": "Mon, 27 Mar 2017 03:08:58 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Dec 2019 18:56:36 GMT",
"version": "v2"
}
] | 2019-12-10 | [
[
"Lou",
"Jing",
""
],
[
"Wang",
"Huan",
""
],
[
"Chen",
"Longtao",
""
],
[
"Xu",
"Fenglei",
""
],
[
"Xia",
"Qingyuan",
""
],
[
"Zhu",
"Wei",
""
],
[
"Ren",
"Mingwu",
""
]
] | In this paper, we will investigate the contribution of color names for the task of salient object detection. An input image is first converted to color name space, which is consisted of 11 probabilistic channels. By exploiting a surroundedness cue, we obtain a saliency map through a linear combination of a set of seque... |
1804.03967 | Chiara Ghidini | Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi,
Williams Rizzi, Cosimo Damiano Persia | Incremental Predictive Process Monitoring: How to Deal with the
Variability of Real Environments | This paper is replaced by paper arXiv:2109.03501 which containes a
more recent version of this work which was not submitted as an update by
mistake | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A characteristic of existing predictive process monitoring techniques is to
first construct a predictive model based on past process executions, and then
use it to predict the future of new ongoing cases, without the possibility of
updating it with new cases when they complete their execution. This can make
predictiv... | [
{
"created": "Wed, 11 Apr 2018 13:08:26 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Oct 2023 13:49:44 GMT",
"version": "v2"
}
] | 2023-10-26 | [
[
"Di Francescomarino",
"Chiara",
""
],
[
"Ghidini",
"Chiara",
""
],
[
"Maggi",
"Fabrizio Maria",
""
],
[
"Rizzi",
"Williams",
""
],
[
"Persia",
"Cosimo Damiano",
""
]
] | A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the future of new ongoing cases, without the possibility of updating it with new cases when they complete their execution. This can make predictive ... |
1709.10460 | Yustinus Soelistio Eko | Novita Belinda Wunarso, Yustinus Eko Soelistio | Towards Indonesian Speech-Emotion Automatic Recognition (I-SpEAR) | 4 pages, 3 tables, published in 4th International Conference on New
Media (Conmedia) on 8-10 Nov. 2017 (http://conmedia.umn.ac.id/) [in print as
in Sept. 17, 2017] | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Even though speech-emotion recognition (SER) has been receiving much
attention as research topic, there are still some disputes about which vocal
features can identify certain emotion. Emotion expression is also known to be
differed according to the cultural backgrounds that make it important to study
SER specific to... | [
{
"created": "Mon, 25 Sep 2017 09:14:59 GMT",
"version": "v1"
}
] | 2017-10-02 | [
[
"Wunarso",
"Novita Belinda",
""
],
[
"Soelistio",
"Yustinus Eko",
""
]
] | Even though speech-emotion recognition (SER) has been receiving much attention as research topic, there are still some disputes about which vocal features can identify certain emotion. Emotion expression is also known to be differed according to the cultural backgrounds that make it important to study SER specific to t... |
1103.3111 | EPTCS | Tom Hirschowitz | Proceedings Types for Proofs and Programs, Revised Selected Papers | null | EPTCS 53, 2011 | 10.4204/EPTCS.53 | null | cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Types for Proofs and Programs is the annual meeting of the Types Project,
whose aim is to develop the technology of formal reasoning and computer
programming based on Type Theory. This is done by improving the languages and
computerised tools for reasoning, and by applying the technology in several
domains such as an... | [
{
"created": "Wed, 16 Mar 2011 06:38:32 GMT",
"version": "v1"
}
] | 2011-03-17 | [
[
"Hirschowitz",
"Tom",
""
]
] | Types for Proofs and Programs is the annual meeting of the Types Project, whose aim is to develop the technology of formal reasoning and computer programming based on Type Theory. This is done by improving the languages and computerised tools for reasoning, and by applying the technology in several domains such as anal... |
2406.19549 | Jitendra Bhandari | Jitendra Bhandari, Animesh Basak Chowdhury, Mohammed Nabeel, Ozgur
Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel | ASCENT: Amplifying Power Side-Channel Resilience via Learning &
Monte-Carlo Tree Search | Accepted at 2024 ACM/IEEE International Conference on Computer-Aided
Design | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Power side-channel (PSC) analysis is pivotal for securing cryptographic
hardware. Prior art focused on securing gate-level netlists obtained as-is from
chip design automation, neglecting all the complexities and potential
side-effects for security arising from the design automation process. That is,
automation tradit... | [
{
"created": "Thu, 27 Jun 2024 22:01:00 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jul 2024 04:52:56 GMT",
"version": "v2"
}
] | 2024-07-02 | [
[
"Bhandari",
"Jitendra",
""
],
[
"Chowdhury",
"Animesh Basak",
""
],
[
"Nabeel",
"Mohammed",
""
],
[
"Sinanoglu",
"Ozgur",
""
],
[
"Garg",
"Siddharth",
""
],
[
"Karri",
"Ramesh",
""
],
[
"Knechtel",
"Johann",
... | Power side-channel (PSC) analysis is pivotal for securing cryptographic hardware. Prior art focused on securing gate-level netlists obtained as-is from chip design automation, neglecting all the complexities and potential side-effects for security arising from the design automation process. That is, automation traditio... |
2108.01819 | Shuhong Chen | Shuhong Chen, Matthias Zwicker | Transfer Learning for Pose Estimation of Illustrated Characters | published at WACV2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Human pose information is a critical component in many downstream image
processing tasks, such as activity recognition and motion tracking. Likewise, a
pose estimator for the illustrated character domain would provide a valuable
prior for assistive content creation tasks, such as reference pose retrieval
and automati... | [
{
"created": "Wed, 4 Aug 2021 02:37:28 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Oct 2021 18:26:39 GMT",
"version": "v2"
},
{
"created": "Wed, 1 Dec 2021 04:37:41 GMT",
"version": "v3"
}
] | 2021-12-02 | [
[
"Chen",
"Shuhong",
""
],
[
"Zwicker",
"Matthias",
""
]
] | Human pose information is a critical component in many downstream image processing tasks, such as activity recognition and motion tracking. Likewise, a pose estimator for the illustrated character domain would provide a valuable prior for assistive content creation tasks, such as reference pose retrieval and automatic ... |
2308.08482 | Yi Zhang | Yi Zhang, Jitao Sang, Junyang Wang, Dongmei Jiang, Yaowei Wang | Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention
with Shortcut Features | arXiv admin note: text overlap with arXiv:2211.01253 | null | 10.1145/3581783.3612317 | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | Machine learning models often learn to make predictions that rely on
sensitive social attributes like gender and race, which poses significant
fairness risks, especially in societal applications, such as hiring, banking,
and criminal justice. Existing work tackles this issue by minimizing the
employed information abo... | [
{
"created": "Sun, 13 Aug 2023 00:40:22 GMT",
"version": "v1"
}
] | 2023-08-25 | [
[
"Zhang",
"Yi",
""
],
[
"Sang",
"Jitao",
""
],
[
"Wang",
"Junyang",
""
],
[
"Jiang",
"Dongmei",
""
],
[
"Wang",
"Yaowei",
""
]
] | Machine learning models often learn to make predictions that rely on sensitive social attributes like gender and race, which poses significant fairness risks, especially in societal applications, such as hiring, banking, and criminal justice. Existing work tackles this issue by minimizing the employed information about... |
2303.16694 | Tristan Cann | Tristan J.B. Cann, Ben Dennes, Travis Coan, Saffron O'Neill, Hywel
T.P. Williams (University of Exeter) | Using Semantic Similarity and Text Embedding to Measure the Social Media
Echo of Strategic Communications | 12 pages, 5 figures | null | null | null | cs.SI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Online discourse covers a wide range of topics and many actors tailor their
content to impact online discussions through carefully crafted messages and
targeted campaigns. Yet the scale and diversity of online media content make it
difficult to evaluate the impact of a particular message. In this paper, we
present a ... | [
{
"created": "Wed, 29 Mar 2023 13:46:07 GMT",
"version": "v1"
}
] | 2023-03-30 | [
[
"Cann",
"Tristan J. B.",
"",
"University of Exeter"
],
[
"Dennes",
"Ben",
"",
"University of Exeter"
],
[
"Coan",
"Travis",
"",
"University of Exeter"
],
[
"O'Neill",
"Saffron",
"",
"University of Exeter"
],
[
"Williams",
"Hyw... | Online discourse covers a wide range of topics and many actors tailor their content to impact online discussions through carefully crafted messages and targeted campaigns. Yet the scale and diversity of online media content make it difficult to evaluate the impact of a particular message. In this paper, we present a ne... |
2208.01243 | Izzat El Hajj | Safaa Diab, Amir Nassereldine, Mohammed Alser, Juan G\'omez-Luna, Onur
Mutlu, Izzat El Hajj | A Framework for High-throughput Sequence Alignment using Real
Processing-in-Memory Systems | null | null | null | null | cs.AR cs.DC | http://creativecommons.org/licenses/by/4.0/ | Sequence alignment is a memory bound computation whose performance in modern
systems is limited by the memory bandwidth bottleneck. Processing-in-memory
architectures alleviate this bottleneck by providing the memory with computing
competencies. We propose Alignment-in-Memory (AIM), a framework for
high-throughput se... | [
{
"created": "Tue, 2 Aug 2022 04:25:17 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Mar 2023 07:57:22 GMT",
"version": "v2"
}
] | 2023-03-28 | [
[
"Diab",
"Safaa",
""
],
[
"Nassereldine",
"Amir",
""
],
[
"Alser",
"Mohammed",
""
],
[
"Gómez-Luna",
"Juan",
""
],
[
"Mutlu",
"Onur",
""
],
[
"Hajj",
"Izzat El",
""
]
] | Sequence alignment is a memory bound computation whose performance in modern systems is limited by the memory bandwidth bottleneck. Processing-in-memory architectures alleviate this bottleneck by providing the memory with computing competencies. We propose Alignment-in-Memory (AIM), a framework for high-throughput sequ... |
2207.06909 | Ankit Rajpal | Shweta Wadhera, Deepa Kamra, Ankit Rajpal, Aruna Jain and Vishal Jain | A Comprehensive Review on Digital Image Watermarking | null | null | null | null | cs.MM eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advent of the Internet led to the easy availability of digital data like
images, audio, and video. Easy access to multimedia gives rise to the issues
such as content authentication, security, copyright protection, and ownership
identification. Here, we discuss the concept of digital image watermarking with
a focu... | [
{
"created": "Thu, 7 Jul 2022 16:45:39 GMT",
"version": "v1"
}
] | 2022-07-15 | [
[
"Wadhera",
"Shweta",
""
],
[
"Kamra",
"Deepa",
""
],
[
"Rajpal",
"Ankit",
""
],
[
"Jain",
"Aruna",
""
],
[
"Jain",
"Vishal",
""
]
] | The advent of the Internet led to the easy availability of digital data like images, audio, and video. Easy access to multimedia gives rise to the issues such as content authentication, security, copyright protection, and ownership identification. Here, we discuss the concept of digital image watermarking with a focus ... |
1807.05854 | Jacob Shermeyer | Jacob Shermeyer | Assessment of electrical and infrastructure recovery in Puerto Rico
following hurricane Maria using a multisource time series of satellite
imagery | 15 pages, 5 figures, 5 videos | null | 10.1117/12.2325585 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Puerto Rico suffered severe damage from the category 5 hurricane (Maria) in
September 2017. Total monetary damages are estimated to be ~92 billion USD, the
third most costly tropical cyclone in US history. The response to this damage
has been tempered and slow moving, with recent estimates placing 45% of the
populati... | [
{
"created": "Mon, 16 Jul 2018 13:38:57 GMT",
"version": "v1"
}
] | 2018-12-12 | [
[
"Shermeyer",
"Jacob",
""
]
] | Puerto Rico suffered severe damage from the category 5 hurricane (Maria) in September 2017. Total monetary damages are estimated to be ~92 billion USD, the third most costly tropical cyclone in US history. The response to this damage has been tempered and slow moving, with recent estimates placing 45% of the population... |
2212.03185 | Yuchao Gu | Yuchao Gu, Xintao Wang, Yixiao Ge, Ying Shan, Xiaohu Qie, Mike Zheng
Shou | Rethinking the Objectives of Vector-Quantized Tokenizers for Image
Synthesis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vector-Quantized (VQ-based) generative models usually consist of two basic
components, i.e., VQ tokenizers and generative transformers. Prior research
focuses on improving the reconstruction fidelity of VQ tokenizers but rarely
examines how the improvement in reconstruction affects the generation ability
of generativ... | [
{
"created": "Tue, 6 Dec 2022 17:58:38 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Mar 2023 09:59:43 GMT",
"version": "v2"
}
] | 2023-03-10 | [
[
"Gu",
"Yuchao",
""
],
[
"Wang",
"Xintao",
""
],
[
"Ge",
"Yixiao",
""
],
[
"Shan",
"Ying",
""
],
[
"Qie",
"Xiaohu",
""
],
[
"Shou",
"Mike Zheng",
""
]
] | Vector-Quantized (VQ-based) generative models usually consist of two basic components, i.e., VQ tokenizers and generative transformers. Prior research focuses on improving the reconstruction fidelity of VQ tokenizers but rarely examines how the improvement in reconstruction affects the generation ability of generative ... |
2304.14224 | Liang Luo | Jiutian Zhao, Liang Luo, Hao Wang | Self-discipline on multiple channels | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-distillation relies on its own information to improve the generalization
ability of the model and has a bright future. Existing self-distillation
methods either require additional models, model modification, or batch size
expansion for training, which increases the difficulty of use, memory
consumption, and comp... | [
{
"created": "Thu, 27 Apr 2023 14:34:41 GMT",
"version": "v1"
}
] | 2023-04-28 | [
[
"Zhao",
"Jiutian",
""
],
[
"Luo",
"Liang",
""
],
[
"Wang",
"Hao",
""
]
] | Self-distillation relies on its own information to improve the generalization ability of the model and has a bright future. Existing self-distillation methods either require additional models, model modification, or batch size expansion for training, which increases the difficulty of use, memory consumption, and comput... |
1305.4781 | Martin Horsch | Martin Horsch and Christoph Niethammer and Jadran Vrabec and Hans
Hasse | Computational molecular engineering as an emerging technology in process
engineering | null | null | null | null | cs.DC physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The present level of development of molecular force field methods is assessed
from the point of view of simulation-based engineering, outlining the immediate
perspective for further development and highlighting the newly emerging
discipline of Computational Molecular Engineering (CME) which makes basic
research in so... | [
{
"created": "Tue, 21 May 2013 10:54:38 GMT",
"version": "v1"
}
] | 2013-05-22 | [
[
"Horsch",
"Martin",
""
],
[
"Niethammer",
"Christoph",
""
],
[
"Vrabec",
"Jadran",
""
],
[
"Hasse",
"Hans",
""
]
] | The present level of development of molecular force field methods is assessed from the point of view of simulation-based engineering, outlining the immediate perspective for further development and highlighting the newly emerging discipline of Computational Molecular Engineering (CME) which makes basic research in soft... |
2012.09131 | Amir M. Rahmani | Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P.
Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain,
Jessica L. Borelli | Personal Mental Health Navigator: Harnessing the Power of Data, Personal
Models, and Health Cybernetics to Promote Psychological Well-being | null | null | null | null | cs.HC cs.CV cs.CY cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditionally, the regime of mental healthcare has followed an episodic
psychotherapy model wherein patients seek care from a provider through a
prescribed treatment plan developed over multiple provider visits. Recent
advances in wearable and mobile technology have generated increased interest in
digital mental heal... | [
{
"created": "Tue, 15 Dec 2020 18:34:09 GMT",
"version": "v1"
}
] | 2020-12-17 | [
[
"Rahmani",
"Amir M.",
""
],
[
"Lai",
"Jocelyn",
""
],
[
"Jafarlou",
"Salar",
""
],
[
"Yunusova",
"Asal",
""
],
[
"Rivera",
"Alex. P.",
""
],
[
"Labbaf",
"Sina",
""
],
[
"Hu",
"Sirui",
""
],
[
"Anzan... | Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through a prescribed treatment plan developed over multiple provider visits. Recent advances in wearable and mobile technology have generated increased interest in digital mental health... |
2105.00373 | Hanjiang Hu | Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao | Investigating the Impact of Multi-LiDAR Placement on Object Detection
for Autonomous Driving | CVPR 2022 camera-ready version:15 pages, 14 figures, 9 tables | null | null | null | cs.RO cs.AI cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | The past few years have witnessed an increasing interest in improving the
perception performance of LiDARs on autonomous vehicles. While most of the
existing works focus on developing new deep learning algorithms or model
architectures, we study the problem from the physical design perspective, i.e.,
how different pl... | [
{
"created": "Sun, 2 May 2021 01:52:18 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Nov 2021 23:48:23 GMT",
"version": "v2"
},
{
"created": "Sun, 17 Apr 2022 23:29:50 GMT",
"version": "v3"
},
{
"created": "Wed, 4 May 2022 06:00:55 GMT",
"version": "v4"
}
] | 2022-05-05 | [
[
"Hu",
"Hanjiang",
""
],
[
"Liu",
"Zuxin",
""
],
[
"Chitlangia",
"Sharad",
""
],
[
"Agnihotri",
"Akhil",
""
],
[
"Zhao",
"Ding",
""
]
] | The past few years have witnessed an increasing interest in improving the perception performance of LiDARs on autonomous vehicles. While most of the existing works focus on developing new deep learning algorithms or model architectures, we study the problem from the physical design perspective, i.e., how different plac... |
1704.03624 | Sudheesh Singanamalla | Sudheesh Singanamalla, Michael Peter Christen | Loklak - A Distributed Crawler and Data Harvester for Overcoming Rate
Limits | 4 pages, 1 figure | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern social networks have become sources for vast quantities of data.
Having access to such big data can be very useful for various researchers and
data scientists. In this paper we describe Loklak, an open source distributed
peer to peer crawler and scraper for supporting such research on platforms like
Twitter, W... | [
{
"created": "Wed, 12 Apr 2017 05:36:28 GMT",
"version": "v1"
}
] | 2017-04-13 | [
[
"Singanamalla",
"Sudheesh",
""
],
[
"Christen",
"Michael Peter",
""
]
] | Modern social networks have become sources for vast quantities of data. Having access to such big data can be very useful for various researchers and data scientists. In this paper we describe Loklak, an open source distributed peer to peer crawler and scraper for supporting such research on platforms like Twitter, Wei... |
1006.1711 | EPTCS | Angelo Montanari (Universit\`a di Udine), Margherita Napoli
(Universit\`a di Salerno), Mimmo Parente (Universit\`a di Salerno) | Proceedings First Symposium on Games, Automata, Logic, and Formal
Verification | null | EPTCS 25, 2010 | 10.4204/EPTCS.25 | null | cs.GT cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This volume contains the Proceedings of the first Symposium on "Games,
Automata, Logic, and Formal Verification (GandALF)", held in Minori (Amalfi
coast), Italy, 17-18 June 2010. The symposium has been promoted by a number of
Italian computer scientists interested in game theory, mathematical logic,
automata theory, ... | [
{
"created": "Wed, 9 Jun 2010 06:30:25 GMT",
"version": "v1"
}
] | 2010-06-10 | [
[
"Montanari",
"Angelo",
"",
"Università di Udine"
],
[
"Napoli",
"Margherita",
"",
"Università di Salerno"
],
[
"Parente",
"Mimmo",
"",
"Università di Salerno"
]
] | This volume contains the Proceedings of the first Symposium on "Games, Automata, Logic, and Formal Verification (GandALF)", held in Minori (Amalfi coast), Italy, 17-18 June 2010. The symposium has been promoted by a number of Italian computer scientists interested in game theory, mathematical logic, automata theory, an... |
1410.1775 | Yongjune Kim | Yongjune Kim and B. V. K. Vijaya Kumar | Writing on dirty flash memory | 8 pages, accepted to 52nd Annual Allerton Conference on
Communication, Control, and Computing, Oct. 2014 | null | 10.1109/ALLERTON.2014.7028498 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The most important challenge in the scaling down of flash memory is its
increased inter-cell interference (ICI). If side information about ICI is known
to the encoder, the flash memory channel can be viewed as similar to Costa's
"writing on dirty paper (dirty paper coding)." We first explain why flash
memories are di... | [
{
"created": "Tue, 7 Oct 2014 15:36:42 GMT",
"version": "v1"
}
] | 2015-02-11 | [
[
"Kim",
"Yongjune",
""
],
[
"Kumar",
"B. V. K. Vijaya",
""
]
] | The most important challenge in the scaling down of flash memory is its increased inter-cell interference (ICI). If side information about ICI is known to the encoder, the flash memory channel can be viewed as similar to Costa's "writing on dirty paper (dirty paper coding)." We first explain why flash memories are dirt... |
1009.5143 | Yixin Cao | Yixin Cao and Jianer Chen | FAST: Kernelization based on Graph Modular Decomposition | further improvement under progress | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Kernelization algorithms, usually a preprocessing step before other more
traditional algorithms, are very special in the sense that they return
(reduced) instances, instead of final results. This characteristic excludes the
freedom of applying a kernelization algorithm for the weighted version of a
problem to its unw... | [
{
"created": "Mon, 27 Sep 2010 02:29:59 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Oct 2010 19:56:30 GMT",
"version": "v2"
}
] | 2010-10-04 | [
[
"Cao",
"Yixin",
""
],
[
"Chen",
"Jianer",
""
]
] | Kernelization algorithms, usually a preprocessing step before other more traditional algorithms, are very special in the sense that they return (reduced) instances, instead of final results. This characteristic excludes the freedom of applying a kernelization algorithm for the weighted version of a problem to its unwei... |
2005.03452 | Christopher Zach | Rasmus Kj{\ae}r H{\o}ier, Christopher Zach | Lifted Regression/Reconstruction Networks | 12 pages, 8 figures | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose lifted regression/reconstruction networks (LRRNs),
which combine lifted neural networks with a guaranteed Lipschitz continuity
property for the output layer. Lifted neural networks explicitly optimize an
energy model to infer the unit activations and therefore---in contrast to
standard feed-fo... | [
{
"created": "Thu, 7 May 2020 13:24:46 GMT",
"version": "v1"
}
] | 2020-05-08 | [
[
"Høier",
"Rasmus Kjær",
""
],
[
"Zach",
"Christopher",
""
]
] | In this work we propose lifted regression/reconstruction networks (LRRNs), which combine lifted neural networks with a guaranteed Lipschitz continuity property for the output layer. Lifted neural networks explicitly optimize an energy model to infer the unit activations and therefore---in contrast to standard feed-forw... |
1202.5413 | Jiun-Hung Yu | Jiun-Hung Yu | On the Joint Error-and-Erasure Decoding for Irreducible Polynomial
Remainder Codes | Submitted (on 03/Feb/2012) to 2012 IEEE International Symposium on
Information Theory | null | null | null | cs.IT math.IT math.RA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A general class of polynomial remainder codes is considered. Such codes are
very flexible in rate and length and include Reed-Solomon codes as a special
case.
As an extension of previous work, two joint error-and-erasure decoding
approaches are proposed. In particular, both the decoding approaches by means
of a fix... | [
{
"created": "Fri, 24 Feb 2012 10:29:48 GMT",
"version": "v1"
}
] | 2012-02-27 | [
[
"Yu",
"Jiun-Hung",
""
]
] | A general class of polynomial remainder codes is considered. Such codes are very flexible in rate and length and include Reed-Solomon codes as a special case. As an extension of previous work, two joint error-and-erasure decoding approaches are proposed. In particular, both the decoding approaches by means of a fixed t... |
1904.03671 | Longchun Wang | Longchun Wang and Qingguo Li | The categorical equivalence between disjunctive sequent calculi and
algebraic L-domains | 17pages | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper establishes a purely syntactic representation for the category of
algebraic L-domains with Scott-continuous functions as morphisms. The central
tool used here is the notion of logical states, which builds a bridge between
disjunctive sequent calculi and algebraic L-domains. To capture
Scott-continuous func... | [
{
"created": "Sun, 7 Apr 2019 15:29:12 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jul 2020 12:26:47 GMT",
"version": "v2"
}
] | 2020-07-10 | [
[
"Wang",
"Longchun",
""
],
[
"Li",
"Qingguo",
""
]
] | This paper establishes a purely syntactic representation for the category of algebraic L-domains with Scott-continuous functions as morphisms. The central tool used here is the notion of logical states, which builds a bridge between disjunctive sequent calculi and algebraic L-domains. To capture Scott-continuous functi... |
2005.13924 | Ferdaous Idlahcen | Ferdaous Idlahcen, Mohammed Majid Himmi, Abdelhak Mahmoudi | CNN-based Approach for Cervical Cancer Classification in Whole-Slide
Histopathology Images | Presented at the ICLR 2020 Workshop on AI for Overcoming Global
Disparities in Cancer Care (AI4CC) | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90%
are Sub-Saharan African women. A constantly increasing incidence in Africa
making cervical cancer a priority by the World Health Organization (WHO) in
terms of screening, diagnosis, and treatment. Conventionally, cancer diagnosis
relies pri... | [
{
"created": "Thu, 28 May 2020 11:45:23 GMT",
"version": "v1"
}
] | 2020-05-29 | [
[
"Idlahcen",
"Ferdaous",
""
],
[
"Himmi",
"Mohammed Majid",
""
],
[
"Mahmoudi",
"Abdelhak",
""
]
] | Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90% are Sub-Saharan African women. A constantly increasing incidence in Africa making cervical cancer a priority by the World Health Organization (WHO) in terms of screening, diagnosis, and treatment. Conventionally, cancer diagnosis relies prima... |
1804.08378 | Nicolas Weber | Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici | BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First
Parallelism | Technical Report, 13 pages | null | null | null | cs.DC cs.AI cs.CV cs.NE cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural network frameworks such as PyTorch and TensorFlow are the workhorses
of numerous machine learning applications ranging from object recognition to
machine translation. While these frameworks are versatile and straightforward
to use, the training of and inference in deep neural networks is resource
(energy, comp... | [
{
"created": "Mon, 23 Apr 2018 12:49:04 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Weber",
"Nicolas",
""
],
[
"Schmidt",
"Florian",
""
],
[
"Niepert",
"Mathias",
""
],
[
"Huici",
"Felipe",
""
]
] | Neural network frameworks such as PyTorch and TensorFlow are the workhorses of numerous machine learning applications ranging from object recognition to machine translation. While these frameworks are versatile and straightforward to use, the training of and inference in deep neural networks is resource (energy, comput... |
1802.04497 | Salimeh Yasaei Sekeh | Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero | A Dimension-Independent discriminant between distributions | 5 pages, 5 figures, ICASSP 2018 | null | null | null | cs.IT math.IT math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Henze-Penrose divergence is a non-parametric divergence measure that can be
used to estimate a bound on the Bayes error in a binary classification problem.
In this paper, we show that a cross-match statistic based on optimal weighted
matching can be used to directly estimate Henze-Penrose divergence. Unlike an
earlie... | [
{
"created": "Tue, 13 Feb 2018 08:02:07 GMT",
"version": "v1"
}
] | 2018-02-14 | [
[
"Sekeh",
"Salimeh Yasaei",
""
],
[
"Oselio",
"Brandon",
""
],
[
"Hero",
"Alfred O.",
""
]
] | Henze-Penrose divergence is a non-parametric divergence measure that can be used to estimate a bound on the Bayes error in a binary classification problem. In this paper, we show that a cross-match statistic based on optimal weighted matching can be used to directly estimate Henze-Penrose divergence. Unlike an earlier ... |
2006.04029 | Huthaifa I. Ashqar | Davon Woodard, Huthaifa I. Ashqar, and Taoran Ji | Ethics, Data Science, and Health and Human Services: Embedded Bias in
Policy Approaches to Teen Pregnancy Prevention | Submitted to the Health Policy Open journal | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Background: This study aims to evaluate the Chicago Teen Pregnancy Prevention
Initiative delivery optimization outcomes given policy-neutral and
policy-focused approaches to deliver this program to at-risk teens across the
City of Chicago. Methods: We collect and compile several datasets from public
sources including... | [
{
"created": "Sun, 7 Jun 2020 03:04:50 GMT",
"version": "v1"
}
] | 2020-06-09 | [
[
"Woodard",
"Davon",
""
],
[
"Ashqar",
"Huthaifa I.",
""
],
[
"Ji",
"Taoran",
""
]
] | Background: This study aims to evaluate the Chicago Teen Pregnancy Prevention Initiative delivery optimization outcomes given policy-neutral and policy-focused approaches to deliver this program to at-risk teens across the City of Chicago. Methods: We collect and compile several datasets from public sources including: ... |
1809.01771 | Roger Stein | Roger A. Stein, Patricia A. Jaques, Joao F. Valiati | An Analysis of Hierarchical Text Classification Using Word Embeddings | Article accepted for publication in Information Sciences on Sep 1st,
2018 | null | 10.1016/j.ins.2018.09.001 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient distributed numerical word representation models (word embeddings)
combined with modern machine learning algorithms have recently yielded
considerable improvement on automatic document classification tasks. However,
the effectiveness of such techniques has not been assessed for the hierarchical
text classif... | [
{
"created": "Thu, 6 Sep 2018 00:31:51 GMT",
"version": "v1"
}
] | 2018-09-07 | [
[
"Stein",
"Roger A.",
""
],
[
"Jaques",
"Patricia A.",
""
],
[
"Valiati",
"Joao F.",
""
]
] | Efficient distributed numerical word representation models (word embeddings) combined with modern machine learning algorithms have recently yielded considerable improvement on automatic document classification tasks. However, the effectiveness of such techniques has not been assessed for the hierarchical text classific... |
1004.5049 | Frank Nielsen | Frank Nielsen and Sylvain Boltz | The Burbea-Rao and Bhattacharyya centroids | 13 pages | IEEE Transactions on Information Theory 57(8):5455-5466, 2011 | 10.1109/TIT.2011.2159046 | null | cs.IT cs.CG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the centroid with respect to the class of information-theoretic
Burbea-Rao divergences that generalize the celebrated Jensen-Shannon divergence
by measuring the non-negative Jensen difference induced by a strictly convex
and differentiable function. Although those Burbea-Rao divergences are
symmetric by cons... | [
{
"created": "Wed, 28 Apr 2010 14:54:53 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Jan 2011 02:31:49 GMT",
"version": "v2"
},
{
"created": "Thu, 19 Apr 2012 07:29:27 GMT",
"version": "v3"
}
] | 2015-03-17 | [
[
"Nielsen",
"Frank",
""
],
[
"Boltz",
"Sylvain",
""
]
] | We study the centroid with respect to the class of information-theoretic Burbea-Rao divergences that generalize the celebrated Jensen-Shannon divergence by measuring the non-negative Jensen difference induced by a strictly convex and differentiable function. Although those Burbea-Rao divergences are symmetric by constr... |
2401.07551 | Wenjuan Xi | Wenjuan Xi, Xin Song, Weili Guo, Yang Yang | Robust Semi-Supervised Learning for Self-learning Open-World Classes | null | 2023 IEEE International Conference on Data Mining (ICDM) | 10.1109/ICDM58522.2023.00075 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing semi-supervised learning (SSL) methods assume that labeled and
unlabeled data share the same class space. However, in real-world applications,
unlabeled data always contain classes not present in the labeled set, which may
cause classification performance degradation of known classes. Therefore,
open-world S... | [
{
"created": "Mon, 15 Jan 2024 09:27:46 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Xi",
"Wenjuan",
""
],
[
"Song",
"Xin",
""
],
[
"Guo",
"Weili",
""
],
[
"Yang",
"Yang",
""
]
] | Existing semi-supervised learning (SSL) methods assume that labeled and unlabeled data share the same class space. However, in real-world applications, unlabeled data always contain classes not present in the labeled set, which may cause classification performance degradation of known classes. Therefore, open-world SSL... |
1706.03315 | Nanditha Rao Ms | Nanditha P. Rao and Madhav P. Desai | Neutron-induced strike: Study of multiple node charge collection in 14nm
FinFETs | 5 pages | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FinFETs have replaced the conventional bulk CMOS transistors in the sub-20nm
technology. One of the key issues to consider is, the vulnerability of FinFET
based circuits to multiple node charge collection due to neutron-induced
strikes. In this paper, we perform a device simulation based characterization
study on rep... | [
{
"created": "Sun, 11 Jun 2017 07:01:10 GMT",
"version": "v1"
}
] | 2017-06-13 | [
[
"Rao",
"Nanditha P.",
""
],
[
"Desai",
"Madhav P.",
""
]
] | FinFETs have replaced the conventional bulk CMOS transistors in the sub-20nm technology. One of the key issues to consider is, the vulnerability of FinFET based circuits to multiple node charge collection due to neutron-induced strikes. In this paper, we perform a device simulation based characterization study on repre... |
2303.06455 | Mario Villaiz\'an-Vallelado | Mario Villaiz\'an-Vallelado, Matteo Salvatori, Bel\'en Carro Martinez,
Antonio Javier Sanchez Esguevillas | Graph Neural Network contextual embedding for Deep Learning on Tabular
Data | null | null | 10.1016/j.neunet.2024.106180 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | All industries are trying to leverage Artificial Intelligence (AI) based on
their existing big data which is available in so called tabular form, where
each record is composed of a number of heterogeneous continuous and categorical
columns also known as features. Deep Learning (DL) has constituted a major
breakthroug... | [
{
"created": "Sat, 11 Mar 2023 17:13:24 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jul 2023 15:33:45 GMT",
"version": "v2"
}
] | 2024-02-29 | [
[
"Villaizán-Vallelado",
"Mario",
""
],
[
"Salvatori",
"Matteo",
""
],
[
"Martinez",
"Belén Carro",
""
],
[
"Esguevillas",
"Antonio Javier Sanchez",
""
]
] | All industries are trying to leverage Artificial Intelligence (AI) based on their existing big data which is available in so called tabular form, where each record is composed of a number of heterogeneous continuous and categorical columns also known as features. Deep Learning (DL) has constituted a major breakthrough ... |
1809.01793 | Cheuk Ting Li | Cheuk Ting Li and Venkat Anantharam | One-Shot Variable-Length Secret Key Agreement Approaching Mutual
Information | 16 pages, to be presented in part at 56th Annual Allerton Conference
on Communication, Control, and Computing | Published in IEEE Transactions on Information Theory (Volume: 67,
Issue: 8, Aug. 2021) | 10.1109/TIT.2021.3087963 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies an information-theoretic one-shot variable-length secret
key agreement problem with public discussion. Let $X$ and $Y$ be jointly
distributed random variables, each taking values in some measurable space.
Alice and Bob observe $X$ and $Y$ respectively, can communicate interactively
through a public... | [
{
"created": "Thu, 6 Sep 2018 02:37:42 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Sep 2018 08:22:11 GMT",
"version": "v2"
}
] | 2021-09-21 | [
[
"Li",
"Cheuk Ting",
""
],
[
"Anantharam",
"Venkat",
""
]
] | This paper studies an information-theoretic one-shot variable-length secret key agreement problem with public discussion. Let $X$ and $Y$ be jointly distributed random variables, each taking values in some measurable space. Alice and Bob observe $X$ and $Y$ respectively, can communicate interactively through a public n... |
1710.03739 | Hao Chen | Hao Chen and Kristin Lauter and Katherine E. Stange | Attacks on the Search-RLWE problem with small errors | null | SIAM Journal on Applied Algebra and Geometry 2017 | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Ring Learning-With-Errors (RLWE) problem shows great promise for
post-quantum cryptography and homomorphic encryption. We describe a new attack
on the non-dual search RLWE problem with small error widths, using ring
homomorphisms to finite fields and the chi-squared statistical test. In
particular, we identify a ... | [
{
"created": "Tue, 10 Oct 2017 17:40:58 GMT",
"version": "v1"
}
] | 2017-10-11 | [
[
"Chen",
"Hao",
""
],
[
"Lauter",
"Kristin",
""
],
[
"Stange",
"Katherine E.",
""
]
] | The Ring Learning-With-Errors (RLWE) problem shows great promise for post-quantum cryptography and homomorphic encryption. We describe a new attack on the non-dual search RLWE problem with small error widths, using ring homomorphisms to finite fields and the chi-squared statistical test. In particular, we identify a "s... |
2302.12202 | Yueyang Liu | Yueyang Liu, Xu Kuang, Benjamin Van Roy | A Definition of Non-Stationary Bandits | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the subject of non-stationary bandit learning having attracted much
recent attention, we have yet to identify a formal definition of
non-stationarity that can consistently distinguish non-stationary bandits from
stationary ones. Prior work has characterized non-stationary bandits as bandits
for which the rewa... | [
{
"created": "Thu, 23 Feb 2023 17:55:11 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Jul 2023 07:50:22 GMT",
"version": "v2"
}
] | 2023-07-31 | [
[
"Liu",
"Yueyang",
""
],
[
"Kuang",
"Xu",
""
],
[
"Van Roy",
"Benjamin",
""
]
] | Despite the subject of non-stationary bandit learning having attracted much recent attention, we have yet to identify a formal definition of non-stationarity that can consistently distinguish non-stationary bandits from stationary ones. Prior work has characterized non-stationary bandits as bandits for which the reward... |
2312.17492 | Xin Zhang | Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan | HEAP: Unsupervised Object Discovery and Localization with Contrastive
Grouping | Accepted by AAAI24 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Unsupervised object discovery and localization aims to detect or segment
objects in an image without any supervision. Recent efforts have demonstrated a
notable potential to identify salient foreground objects by utilizing
self-supervised transformer features. However, their scopes only build upon
patch-level feature... | [
{
"created": "Fri, 29 Dec 2023 06:46:37 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Jan 2024 05:57:15 GMT",
"version": "v2"
}
] | 2024-01-05 | [
[
"Zhang",
"Xin",
""
],
[
"Xie",
"Jinheng",
""
],
[
"Yuan",
"Yuan",
""
],
[
"Mi",
"Michael Bi",
""
],
[
"Tan",
"Robby T.",
""
]
] | Unsupervised object discovery and localization aims to detect or segment objects in an image without any supervision. Recent efforts have demonstrated a notable potential to identify salient foreground objects by utilizing self-supervised transformer features. However, their scopes only build upon patch-level features ... |
2309.00135 | Paul Van Eecke | Katrien Beuls and Paul Van Eecke | Construction Grammar and Artificial Intelligence | Peer-reviewed author's draft of a chapter to appear in the Cambridge
Handbook of Construction Grammar (2024 - edited by Mirjam Fried and Kiki
Nikiforidou) | null | null | null | cs.AI cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this chapter, we argue that it is highly beneficial for the contemporary
construction grammarian to have a thorough understanding of the strong
relationship between the research fields of construction grammar and artificial
intelligence. We start by unravelling the historical links between the two
fields, showing ... | [
{
"created": "Thu, 31 Aug 2023 21:15:06 GMT",
"version": "v1"
}
] | 2023-09-04 | [
[
"Beuls",
"Katrien",
""
],
[
"Van Eecke",
"Paul",
""
]
] | In this chapter, we argue that it is highly beneficial for the contemporary construction grammarian to have a thorough understanding of the strong relationship between the research fields of construction grammar and artificial intelligence. We start by unravelling the historical links between the two fields, showing th... |
2407.20292 | Karl Friston | Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso
Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus Koudahl,
Christopher Buckley, Thomas Parr | From pixels to planning: scale-free active inference | 64 pages, 28 figures | null | null | null | cs.LG q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | This paper describes a discrete state-space model -- and accompanying methods
-- for generative modelling. This model generalises partially observed Markov
decision processes to include paths as latent variables, rendering it suitable
for active inference and learning in a dynamic setting. Specifically, we
consider d... | [
{
"created": "Sat, 27 Jul 2024 14:20:48 GMT",
"version": "v1"
}
] | 2024-07-31 | [
[
"Friston",
"Karl",
""
],
[
"Heins",
"Conor",
""
],
[
"Verbelen",
"Tim",
""
],
[
"Da Costa",
"Lancelot",
""
],
[
"Salvatori",
"Tommaso",
""
],
[
"Markovic",
"Dimitrije",
""
],
[
"Tschantz",
"Alexander",
""
... | This paper describes a discrete state-space model -- and accompanying methods -- for generative modelling. This model generalises partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active inference and learning in a dynamic setting. Specifically, we consider dee... |
2203.06787 | Xinhua Zhang | Xinhua Zhang and Lance R. Williams | Euclidean Invariant Recognition of 2D Shapes Using Histograms of
Magnitudes of Local Fourier-Mellin Descriptors | 9 pages, 5 figures | 2019 IEEE Winter Conference on Applications of Computer Vision
(WACV), 2019, pp. 303-311 | 10.1109/WACV.2019.00038 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Because the magnitude of inner products with its basis functions are
invariant to rotation and scale change, the Fourier-Mellin transform has long
been used as a component in Euclidean invariant 2D shape recognition systems.
Yet Fourier-Mellin transform magnitudes are only invariant to rotation and
scale changes abou... | [
{
"created": "Sun, 13 Mar 2022 23:54:56 GMT",
"version": "v1"
}
] | 2022-03-15 | [
[
"Zhang",
"Xinhua",
""
],
[
"Williams",
"Lance R.",
""
]
] | Because the magnitude of inner products with its basis functions are invariant to rotation and scale change, the Fourier-Mellin transform has long been used as a component in Euclidean invariant 2D shape recognition systems. Yet Fourier-Mellin transform magnitudes are only invariant to rotation and scale changes about ... |
2305.15380 | Mika H\"am\"al\"ainen | Khalid Alnajjar, Mika H\"am\"al\"ainen, Jack Rueter | Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages | Proceedings of the Second Workshop on Resources and Representations
for Under-Resourced Languages and Domains (RESOURCEFUL-2023) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present an approach for translating word embeddings from a
majority language into 4 minority languages: Erzya, Moksha, Udmurt and
Komi-Zyrian. Furthermore, we align these word embeddings and present a novel
neural network model that is trained on English data to conduct sentiment
analysis and then a... | [
{
"created": "Wed, 24 May 2023 17:40:20 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Alnajjar",
"Khalid",
""
],
[
"Hämäläinen",
"Mika",
""
],
[
"Rueter",
"Jack",
""
]
] | In this paper, we present an approach for translating word embeddings from a majority language into 4 minority languages: Erzya, Moksha, Udmurt and Komi-Zyrian. Furthermore, we align these word embeddings and present a novel neural network model that is trained on English data to conduct sentiment analysis and then app... |
1506.05558 | Srikanth Pai | Srikanth B. Pai and B. Sundar Rajan | A Singleton Bound for Generalized Ferrers Diagram Rank Metric Codes | 6 pages, 5 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we will employ the technique used in the proof of classical
Singleton bound to derive upper bounds for rank metric codes and Ferrers
diagram rank metric codes. These upper bounds yield the rank distance Singleton
bound and an upper bound presented by Etzion and Silberstein respectively. Also
we introdu... | [
{
"created": "Thu, 18 Jun 2015 06:52:15 GMT",
"version": "v1"
}
] | 2015-06-19 | [
[
"Pai",
"Srikanth B.",
""
],
[
"Rajan",
"B. Sundar",
""
]
] | In this paper, we will employ the technique used in the proof of classical Singleton bound to derive upper bounds for rank metric codes and Ferrers diagram rank metric codes. These upper bounds yield the rank distance Singleton bound and an upper bound presented by Etzion and Silberstein respectively. Also we introduce... |
1011.1172 | Julian Gutierrez | Julian Gutierrez | Logics and Games for True Concurrency | Technical report (LFCS, School of Informatics, University of
Edinburgh) | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the underlying mathematical properties of various partial order
models of concurrency based on transition systems, Petri nets, and event
structures, and show that the concurrent behaviour of these systems can be
captured in a uniform way by two simple and general dualities of local
behaviour. Such dualities ... | [
{
"created": "Thu, 4 Nov 2010 14:31:46 GMT",
"version": "v1"
}
] | 2010-11-05 | [
[
"Gutierrez",
"Julian",
""
]
] | We study the underlying mathematical properties of various partial order models of concurrency based on transition systems, Petri nets, and event structures, and show that the concurrent behaviour of these systems can be captured in a uniform way by two simple and general dualities of local behaviour. Such dualities ar... |
1808.08256 | Siddharth Karamcheti | Siddharth Karamcheti, Gideon Mann, and David Rosenberg | Adaptive Grey-Box Fuzz-Testing with Thompson Sampling | Published as a workshop paper in the 11th ACM Workshop on Artificial
Intelligence and Security (AISec '18) with the 25th ACM Conference on
Computer and Communications Security (CCS '18) | null | 10.1145/3270101.3270108 | null | cs.AI cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fuzz testing, or "fuzzing," refers to a widely deployed class of techniques
for testing programs by generating a set of inputs for the express purpose of
finding bugs and identifying security flaws. Grey-box fuzzing, the most popular
fuzzing strategy, combines light program instrumentation with a data driven
process ... | [
{
"created": "Fri, 24 Aug 2018 18:22:46 GMT",
"version": "v1"
}
] | 2018-08-28 | [
[
"Karamcheti",
"Siddharth",
""
],
[
"Mann",
"Gideon",
""
],
[
"Rosenberg",
"David",
""
]
] | Fuzz testing, or "fuzzing," refers to a widely deployed class of techniques for testing programs by generating a set of inputs for the express purpose of finding bugs and identifying security flaws. Grey-box fuzzing, the most popular fuzzing strategy, combines light program instrumentation with a data driven process to... |
1712.00955 | Jingdong Wang | Jingdong Wang and Ting Zhang | Composite Quantization | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the compact coding approach to approximate nearest
neighbor search. We introduce a composite quantization framework. It uses the
composition of several ($M$) elements, each of which is selected from a
different dictionary, to accurately approximate a $D$-dimensional vector, thus
yielding accurate s... | [
{
"created": "Mon, 4 Dec 2017 08:48:44 GMT",
"version": "v1"
}
] | 2017-12-05 | [
[
"Wang",
"Jingdong",
""
],
[
"Zhang",
"Ting",
""
]
] | This paper studies the compact coding approach to approximate nearest neighbor search. We introduce a composite quantization framework. It uses the composition of several ($M$) elements, each of which is selected from a different dictionary, to accurately approximate a $D$-dimensional vector, thus yielding accurate sea... |
1903.02511 | Miguel Vasco | Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva,
Tetsunari Inamura | Learning multimodal representations for sample-efficient recognition of
human actions | 7 pages, 6 figures, submitted to 2019 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS) | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans interact in rich and diverse ways with the environment. However, the
representation of such behavior by artificial agents is often limited. In this
work we present \textit{motion concepts}, a novel multimodal representation of
human actions in a household environment. A motion concept encompasses a
probabilist... | [
{
"created": "Wed, 6 Mar 2019 17:37:21 GMT",
"version": "v1"
}
] | 2019-03-07 | [
[
"Vasco",
"Miguel",
""
],
[
"Melo",
"Francisco S.",
""
],
[
"de Matos",
"David Martins",
""
],
[
"Paiva",
"Ana",
""
],
[
"Inamura",
"Tetsunari",
""
]
] | Humans interact in rich and diverse ways with the environment. However, the representation of such behavior by artificial agents is often limited. In this work we present \textit{motion concepts}, a novel multimodal representation of human actions in a household environment. A motion concept encompasses a probabilistic... |
2010.07426 | Anthony Thomas | Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing | A Theoretical Perspective on Hyperdimensional Computing | Updates with published version | Journal of Artificial Intelligence Research 72 (2021): 215-249 | 10.1613/jair.1.12664 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Hyperdimensional (HD) computing is a set of neurally inspired methods for
obtaining high-dimensional, low-precision, distributed representations of data.
These representations can be combined with simple, neurally plausible
algorithms to effect a variety of information processing tasks. HD computing
has recently garn... | [
{
"created": "Wed, 14 Oct 2020 22:39:11 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Dec 2020 17:19:09 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Feb 2022 23:29:29 GMT",
"version": "v3"
}
] | 2022-02-21 | [
[
"Thomas",
"Anthony",
""
],
[
"Dasgupta",
"Sanjoy",
""
],
[
"Rosing",
"Tajana",
""
]
] | Hyperdimensional (HD) computing is a set of neurally inspired methods for obtaining high-dimensional, low-precision, distributed representations of data. These representations can be combined with simple, neurally plausible algorithms to effect a variety of information processing tasks. HD computing has recently garner... |
2312.02790 | Rui Tang | Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, and Wei Wang | A Low-cost, High-impact Node Injection Approach for Attacking Social
Network Alignment | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social network alignment (SNA) holds significant importance for various
downstream applications, prompting numerous professionals to develop and share
SNA tools. Unfortunately, these tools can be exploited by malicious actors to
integrate sensitive user information, posing cybersecurity risks. While many
researchers ... | [
{
"created": "Tue, 5 Dec 2023 14:20:46 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Jiang",
"Shuyu",
""
],
[
"Qiu",
"Yunxiang",
""
],
[
"Mo",
"Xian",
""
],
[
"Tang",
"Rui",
""
],
[
"Wang",
"Wei",
""
]
] | Social network alignment (SNA) holds significant importance for various downstream applications, prompting numerous professionals to develop and share SNA tools. Unfortunately, these tools can be exploited by malicious actors to integrate sensitive user information, posing cybersecurity risks. While many researchers ha... |
2101.04216 | Veronica Quintuna Rodriguez | Veronica Quintuna Rodriguez, Fabrice Guillemin, Alexandre Ferrieux and
Laurent Thomas | Cloud-RAN functional split for an efficient fronthaul network | Added to IEEE Xplore: 27 July 2020 | null | null | ISBN:978-1-7281-3130-6 | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The evolution of telecommunication network towards cloud-native environments
enables flexible centralization of the base band processing of radio signals.
There is however a trade-off between the centralization benefits and the
fronthaul cost for carrying the radio data between distributed antennas and
data processin... | [
{
"created": "Mon, 11 Jan 2021 22:15:19 GMT",
"version": "v1"
}
] | 2021-01-13 | [
[
"Rodriguez",
"Veronica Quintuna",
""
],
[
"Guillemin",
"Fabrice",
""
],
[
"Ferrieux",
"Alexandre",
""
],
[
"Thomas",
"Laurent",
""
]
] | The evolution of telecommunication network towards cloud-native environments enables flexible centralization of the base band processing of radio signals. There is however a trade-off between the centralization benefits and the fronthaul cost for carrying the radio data between distributed antennas and data processing ... |
1809.02762 | Negar Mehr | Negar Mehr, Ruolin Li, Roberto Horowitz | A Game Theoretic Macroscopic Model of Bypassing at Traffic Diverges with
Applications to Mixed Autonomy Networks | null | null | null | null | cs.GT cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vehicle bypassing is known to negatively affect delays at traffic diverges.
However, due to the complexities of this phenomenon, accurate and yet simple
models of such lane change maneuvers are hard to develop. In this work, we
present a macroscopic model for predicting the number of vehicles that bypass
at a traffic... | [
{
"created": "Sat, 8 Sep 2018 05:25:09 GMT",
"version": "v1"
}
] | 2018-09-11 | [
[
"Mehr",
"Negar",
""
],
[
"Li",
"Ruolin",
""
],
[
"Horowitz",
"Roberto",
""
]
] | Vehicle bypassing is known to negatively affect delays at traffic diverges. However, due to the complexities of this phenomenon, accurate and yet simple models of such lane change maneuvers are hard to develop. In this work, we present a macroscopic model for predicting the number of vehicles that bypass at a traffic d... |
2301.11544 | Pavan Kulkarni | Yuvaraj Govindarajulu, Avinash Amballa, Pavan Kulkarni, and Manojkumar
Parmar | Targeted Attacks on Timeseries Forecasting | null | null | null | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Real-world deep learning models developed for Time Series Forecasting are
used in several critical applications ranging from medical devices to the
security domain. Many previous works have shown how deep learning models are
prone to adversarial attacks and studied their vulnerabilities. However, the
vulnerabilities ... | [
{
"created": "Fri, 27 Jan 2023 06:09:42 GMT",
"version": "v1"
}
] | 2023-01-30 | [
[
"Govindarajulu",
"Yuvaraj",
""
],
[
"Amballa",
"Avinash",
""
],
[
"Kulkarni",
"Pavan",
""
],
[
"Parmar",
"Manojkumar",
""
]
] | Real-world deep learning models developed for Time Series Forecasting are used in several critical applications ranging from medical devices to the security domain. Many previous works have shown how deep learning models are prone to adversarial attacks and studied their vulnerabilities. However, the vulnerabilities of... |
1902.01462 | Mathew Halm | Mathew Halm and Michael Posa | Modeling and Analysis of Non-unique Behaviors in Multiple Frictional
Impacts | Robotics: Science and Systems 2019 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many fundamental challenges in robotics, based in manipulation or locomotion,
require making and breaking contact with the environment. To represent the
complexity of frictional contact events, impulsive impact models are especially
popular, as they often lead to mathematically and computationally tractable
approache... | [
{
"created": "Mon, 4 Feb 2019 21:25:36 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Aug 2019 18:34:43 GMT",
"version": "v2"
}
] | 2019-08-27 | [
[
"Halm",
"Mathew",
""
],
[
"Posa",
"Michael",
""
]
] | Many fundamental challenges in robotics, based in manipulation or locomotion, require making and breaking contact with the environment. To represent the complexity of frictional contact events, impulsive impact models are especially popular, as they often lead to mathematically and computationally tractable approaches.... |
2210.06915 | Ana Carrasco | Ana Carrasco | Adapting Behaviour Based On Trust In Human-Agent Ad Hoc Teamwork | null | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This work proposes a framework that incorporates trust in an ad hoc teamwork
scenario with human-agent teams, where an agent must collaborate with a human
to perform a task. During the task, the agent must infer, through interactions
and observations, how much the human trusts it and adapt its behaviour to
maximize t... | [
{
"created": "Thu, 13 Oct 2022 11:28:58 GMT",
"version": "v1"
}
] | 2022-10-14 | [
[
"Carrasco",
"Ana",
""
]
] | This work proposes a framework that incorporates trust in an ad hoc teamwork scenario with human-agent teams, where an agent must collaborate with a human to perform a task. During the task, the agent must infer, through interactions and observations, how much the human trusts it and adapt its behaviour to maximize the... |
1906.01419 | Mostafa-Sami Mostafa | Tamer Abdelaziz, Aya Sedky, Bruno Rossi, and Mostafa-Sami M. Mostafa | Identification and Assessment of Software Design Pattern Violations | 25 pages, 9 figures and 9 tables | FCIH Informatics Bulletin, V. 1, Issue 2, July 2019 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The validation of design pattern implementations to identify pattern
violations has gained more relevance as part of re-engineering processes in
order to preserve, extend, reuse software projects in rapid development
environments. If design pattern implementations do not conform to their
definitions, they are conside... | [
{
"created": "Tue, 4 Jun 2019 13:37:38 GMT",
"version": "v1"
}
] | 2019-08-20 | [
[
"Abdelaziz",
"Tamer",
""
],
[
"Sedky",
"Aya",
""
],
[
"Rossi",
"Bruno",
""
],
[
"Mostafa",
"Mostafa-Sami M.",
""
]
] | The validation of design pattern implementations to identify pattern violations has gained more relevance as part of re-engineering processes in order to preserve, extend, reuse software projects in rapid development environments. If design pattern implementations do not conform to their definitions, they are considere... |
2302.07412 | Jasper De Bock | Jasper De Bock | A theory of desirable things | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Inspired by the theory of desirable gambles that is used to model uncertainty
in the field of imprecise probabilities, I present a theory of desirable
things. Its aim is to model a subject's beliefs about which things are
desirable. What the things are is not important, nor is what it means for them
to be desirable. ... | [
{
"created": "Wed, 15 Feb 2023 00:30:00 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Feb 2023 07:41:32 GMT",
"version": "v2"
},
{
"created": "Wed, 10 May 2023 22:16:21 GMT",
"version": "v3"
}
] | 2023-05-12 | [
[
"De Bock",
"Jasper",
""
]
] | Inspired by the theory of desirable gambles that is used to model uncertainty in the field of imprecise probabilities, I present a theory of desirable things. Its aim is to model a subject's beliefs about which things are desirable. What the things are is not important, nor is what it means for them to be desirable. It... |
2202.13226 | Yu Sha | Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm,
Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein,
Andreas Widl, Kai Zhou | An acoustic signal cavitation detection framework based on XGBoost with
adaptive selection feature engineering | null | Measurement 192 (2022), 110897 | 10.1016/j.measurement.2022.110897 | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Valves are widely used in industrial and domestic pipeline systems. However,
during their operation, they may suffer from the occurrence of the cavitation,
which can cause loud noise, vibration and damage to the internal components of
the valve. Therefore, monitoring the flow status inside valves is significantly
ben... | [
{
"created": "Sat, 26 Feb 2022 20:48:42 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Mar 2022 13:39:05 GMT",
"version": "v2"
}
] | 2022-03-02 | [
[
"Sha",
"Yu",
""
],
[
"Faber",
"Johannes",
""
],
[
"Gou",
"Shuiping",
""
],
[
"Liu",
"Bo",
""
],
[
"Li",
"Wei",
""
],
[
"Schramm",
"Stefan",
""
],
[
"Stoecker",
"Horst",
""
],
[
"Steckenreiter",
... | Valves are widely used in industrial and domestic pipeline systems. However, during their operation, they may suffer from the occurrence of the cavitation, which can cause loud noise, vibration and damage to the internal components of the valve. Therefore, monitoring the flow status inside valves is significantly benef... |
2405.10243 | Bibek Poudel | Bibek Poudel, Adam Cook, Sekou Traore, Shelah Ameli | DocuMint: Docstring Generation for Python using Small Language Models | 12 pages, 4 figures | null | null | null | cs.SE cs.LG | http://creativecommons.org/licenses/by/4.0/ | Effective communication, specifically through documentation, is the beating
heart of collaboration among contributors in software development. Recent
advancements in language models (LMs) have enabled the introduction of a new
type of actor in that ecosystem: LM-powered assistants capable of code
generation, optimiza... | [
{
"created": "Thu, 16 May 2024 16:46:46 GMT",
"version": "v1"
}
] | 2024-05-17 | [
[
"Poudel",
"Bibek",
""
],
[
"Cook",
"Adam",
""
],
[
"Traore",
"Sekou",
""
],
[
"Ameli",
"Shelah",
""
]
] | Effective communication, specifically through documentation, is the beating heart of collaboration among contributors in software development. Recent advancements in language models (LMs) have enabled the introduction of a new type of actor in that ecosystem: LM-powered assistants capable of code generation, optimizati... |
2406.07505 | Danupat Khamnuansin | KBTG Labs, Danupat Khamnuansin, Atthakorn Petchsod, Anuruth Lertpiya,
Pornchanan Balee, Thanawat Lodkaew, Tawunrat Chalothorn, Thadpong
Pongthawornkamol, Monchai Lertsutthiwong | THaLLE: Text Hyperlocally Augmented Large Language Extension --
Technical Report | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Recent advancements in Large Language Models (LLMs) have revealed new
capabilities and opportunities across the technological landscape. However, the
practicality of very large LLMs is challenged by their high compute cost, which
does not justify the benefits given their limited capability compared to
humans. While s... | [
{
"created": "Tue, 11 Jun 2024 17:40:00 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Labs",
"KBTG",
""
],
[
"Khamnuansin",
"Danupat",
""
],
[
"Petchsod",
"Atthakorn",
""
],
[
"Lertpiya",
"Anuruth",
""
],
[
"Balee",
"Pornchanan",
""
],
[
"Lodkaew",
"Thanawat",
""
],
[
"Chalothorn",
"Tawunrat",
... | Recent advancements in Large Language Models (LLMs) have revealed new capabilities and opportunities across the technological landscape. However, the practicality of very large LLMs is challenged by their high compute cost, which does not justify the benefits given their limited capability compared to humans. While sma... |
2108.09779 | Arthur Allshire | Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk,
Denys Makoviichuk, Felix Widmaier, Manuel W\"uthrich, Stefan Bauer, Ankur
Handa, Animesh Garg | Transferring Dexterous Manipulation from GPU Simulation to a Remote
Real-World TriFinger | International Conference on Intelligent Robots and Systems (IROS
2022) | null | 10.1109/IROS47612.2022.9981458 | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a system for learning a challenging dexterous manipulation task
involving moving a cube to an arbitrary 6-DoF pose with only 3-fingers trained
with NVIDIA's IsaacGym simulator. We show empirical benefits, both in
simulation and sim-to-real transfer, of using keypoints as opposed to
position+quaternion repr... | [
{
"created": "Sun, 22 Aug 2021 16:45:58 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2022 20:24:34 GMT",
"version": "v2"
}
] | 2024-03-08 | [
[
"Allshire",
"Arthur",
""
],
[
"Mittal",
"Mayank",
""
],
[
"Lodaya",
"Varun",
""
],
[
"Makoviychuk",
"Viktor",
""
],
[
"Makoviichuk",
"Denys",
""
],
[
"Widmaier",
"Felix",
""
],
[
"Wüthrich",
"Manuel",
""
... | We present a system for learning a challenging dexterous manipulation task involving moving a cube to an arbitrary 6-DoF pose with only 3-fingers trained with NVIDIA's IsaacGym simulator. We show empirical benefits, both in simulation and sim-to-real transfer, of using keypoints as opposed to position+quaternion repres... |
2407.21661 | Benjamin Morris Iii | Preston Brazzle, Benjamin F. Morris III, Evan McKinney, Peipei Zhou,
Jingtong Hu, Asif Ali Khan, and Alex K. Jones | Towards Error Correction for Computing in Racetrack Memory | 4 pages, 6 figures, to be submitted to IEEE CAL | null | null | null | cs.AR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck
and accelerate data-intensive applications. Depending on the underlying
technology and configuration, CIM enables implementing compute primitives in
place, such as multiplication, search operations, and bulk bitwise logic
operations. Emerging ... | [
{
"created": "Wed, 31 Jul 2024 15:06:22 GMT",
"version": "v1"
}
] | 2024-08-01 | [
[
"Brazzle",
"Preston",
""
],
[
"Morris",
"Benjamin F.",
"III"
],
[
"McKinney",
"Evan",
""
],
[
"Zhou",
"Peipei",
""
],
[
"Hu",
"Jingtong",
""
],
[
"Khan",
"Asif Ali",
""
],
[
"Jones",
"Alex K.",
""
]
] | Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck and accelerate data-intensive applications. Depending on the underlying technology and configuration, CIM enables implementing compute primitives in place, such as multiplication, search operations, and bulk bitwise logic operations. Emerging no... |
2112.06891 | Wei Miao | Wei Miao, Vignesh Narayanan, Jr-Shin Li | Interpretable Design of Reservoir Computing Networks using Realization
Theory | null | null | null | null | cs.LG cs.NE cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | The reservoir computing networks (RCNs) have been successfully employed as a
tool in learning and complex decision-making tasks. Despite their efficiency
and low training cost, practical applications of RCNs rely heavily on empirical
design. In this paper, we develop an algorithm to design RCNs using the
realization ... | [
{
"created": "Mon, 13 Dec 2021 18:49:29 GMT",
"version": "v1"
}
] | 2021-12-14 | [
[
"Miao",
"Wei",
""
],
[
"Narayanan",
"Vignesh",
""
],
[
"Li",
"Jr-Shin",
""
]
] | The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, practical applications of RCNs rely heavily on empirical design. In this paper, we develop an algorithm to design RCNs using the realization th... |
2210.03209 | Tao Li | Tao Li, Haozhe Lei, and Quanyan Zhu | Self-Adaptive Driving in Nonstationary Environments through Conjectural
Online Lookahead Adaptation | 10 pages with appendices; Nov 2 update: fixed minor typos in the
appendices; Mar 2 update: added funding information, remade some figures | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Powered by deep representation learning, reinforcement learning (RL) provides
an end-to-end learning framework capable of solving self-driving (SD) tasks
without manual designs. However, time-varying nonstationary environments cause
proficient but specialized RL policies to fail at execution time. For example,
an RL-... | [
{
"created": "Thu, 6 Oct 2022 21:05:21 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Nov 2022 00:09:15 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Mar 2023 01:48:30 GMT",
"version": "v3"
}
] | 2023-03-09 | [
[
"Li",
"Tao",
""
],
[
"Lei",
"Haozhe",
""
],
[
"Zhu",
"Quanyan",
""
]
] | Powered by deep representation learning, reinforcement learning (RL) provides an end-to-end learning framework capable of solving self-driving (SD) tasks without manual designs. However, time-varying nonstationary environments cause proficient but specialized RL policies to fail at execution time. For example, an RL-ba... |
2003.13017 | Zehao Yu | Zehao Yu, Shenghua Gao | Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation
and Gauss-Newton Refinement | Accepted by CVPR2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Almost all previous deep learning-based multi-view stereo (MVS) approaches
focus on improving reconstruction quality. Besides quality, efficiency is also
a desirable feature for MVS in real scenarios. Towards this end, this paper
presents a Fast-MVSNet, a novel sparse-to-dense coarse-to-fine framework, for
fast and a... | [
{
"created": "Sun, 29 Mar 2020 13:31:00 GMT",
"version": "v1"
}
] | 2020-03-31 | [
[
"Yu",
"Zehao",
""
],
[
"Gao",
"Shenghua",
""
]
] | Almost all previous deep learning-based multi-view stereo (MVS) approaches focus on improving reconstruction quality. Besides quality, efficiency is also a desirable feature for MVS in real scenarios. Towards this end, this paper presents a Fast-MVSNet, a novel sparse-to-dense coarse-to-fine framework, for fast and acc... |
2012.06390 | Ferhat Ozgur Catak | Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil | Closeness and Uncertainty Aware Adversarial Examples Detection in
Adversarial Machine Learning | 17 pages | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While state-of-the-art Deep Neural Network (DNN) models are considered to be
robust to random perturbations, it was shown that these architectures are
highly vulnerable to deliberately crafted perturbations, albeit being
quasi-imperceptible. These vulnerabilities make it challenging to deploy DNN
models in security-c... | [
{
"created": "Fri, 11 Dec 2020 14:44:59 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Jun 2021 10:02:47 GMT",
"version": "v2"
}
] | 2021-06-03 | [
[
"Tuna",
"Omer Faruk",
""
],
[
"Catak",
"Ferhat Ozgur",
""
],
[
"Eskil",
"M. Taner",
""
]
] | While state-of-the-art Deep Neural Network (DNN) models are considered to be robust to random perturbations, it was shown that these architectures are highly vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These vulnerabilities make it challenging to deploy DNN models in security-cri... |
1603.07351 | Christian Cachin | Christian Cachin, Simon Schubert, Marko Vukoli\'c | Non-determinism in Byzantine Fault-Tolerant Replication | null | null | null | null | cs.DC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Service replication distributes an application over many processes for
tolerating faults, attacks, and misbehavior among a subset of the processes.
The established state-machine replication paradigm inherently requires the
application to be deterministic. This paper distinguishes three models for
dealing with non-det... | [
{
"created": "Wed, 23 Mar 2016 20:42:55 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Dec 2016 17:08:40 GMT",
"version": "v2"
}
] | 2016-12-20 | [
[
"Cachin",
"Christian",
""
],
[
"Schubert",
"Simon",
""
],
[
"Vukolić",
"Marko",
""
]
] | Service replication distributes an application over many processes for tolerating faults, attacks, and misbehavior among a subset of the processes. The established state-machine replication paradigm inherently requires the application to be deterministic. This paper distinguishes three models for dealing with non-deter... |
2309.13057 | Marialena Bevilacqua | Marialena Bevilacqua, Nicholas Berente, Heather Domin, Brian Goehring
and Francesca Rossi | The Return on Investment in AI Ethics: A Holistic Framework | A subsequent version of this paper will be published in the Hawaii
International Conference on System Sciences (HICSS) 2024 Proceedings | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a Holistic Return on Ethics (HROE) framework for understanding the
return on organizational investments in artificial intelligence (AI) ethics
efforts. This framework is useful for organizations that wish to quantify the
return for their investment decisions. The framework identifies the direct
economic re... | [
{
"created": "Fri, 8 Sep 2023 17:53:22 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Sep 2023 19:16:04 GMT",
"version": "v2"
},
{
"created": "Tue, 7 Nov 2023 14:03:08 GMT",
"version": "v3"
}
] | 2023-11-08 | [
[
"Bevilacqua",
"Marialena",
""
],
[
"Berente",
"Nicholas",
""
],
[
"Domin",
"Heather",
""
],
[
"Goehring",
"Brian",
""
],
[
"Rossi",
"Francesca",
""
]
] | We propose a Holistic Return on Ethics (HROE) framework for understanding the return on organizational investments in artificial intelligence (AI) ethics efforts. This framework is useful for organizations that wish to quantify the return for their investment decisions. The framework identifies the direct economic retu... |
2008.06388 | Michael Roberts | Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael
Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal
McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni
Gkrania-Klotsas, James H.F. Rudd, Evis Sala, Carola-Bibiane Sch\"onlieb (on
behalf of the A... | Common pitfalls and recommendations for using machine learning to detect
and prognosticate for COVID-19 using chest radiographs and CT scans | 35 pages, 3 figures, 2 tables, updated to the period 1 January 2020 -
3 October 2020 | Nature Machine Intelligence 3, 199-217 (2021) | 10.1038/s42256-021-00307-0 | null | cs.LG cs.CV eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning methods offer great promise for fast and accurate detection
and prognostication of COVID-19 from standard-of-care chest radiographs (CXR)
and computed tomography (CT) images. Many articles have been published in 2020
describing new machine learning-based models for both of these tasks, but it is
uncl... | [
{
"created": "Fri, 14 Aug 2020 14:25:21 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Sep 2020 08:10:35 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Oct 2020 13:56:25 GMT",
"version": "v3"
},
{
"created": "Tue, 5 Jan 2021 19:41:55 GMT",
"version": "v4"
}
] | 2021-05-12 | [
[
"Roberts",
"Michael",
"",
"on\n behalf of the AIX-COVNET collaboration"
],
[
"Driggs",
"Derek",
"",
"on\n behalf of the AIX-COVNET collaboration"
],
[
"Thorpe",
"Matthew",
"",
"on\n behalf of the AIX-COVNET collaboration"
],
[
"Gilbey",
"Julia... | Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (CT) images. Many articles have been published in 2020 describing new machine learning-based models for both of these tasks, but it is unclea... |
1604.02747 | Trung Kien Vu | Trung Kien Vu, Sungoh Kwon, and Sangchul Oh | Cooperative Interference Mitigation Algorithm in Heterogeneous Networks | key words: eICIC, ABSF, Interference Mitigation, Small Cell, HetNets,
IEICE TRANSACTIONS on Communications, Copyright @2015 The Institute of
Electronics, Information and Communication Engineers | null | 10.1587/transcom.E98.B.2238 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heterogeneous hetworks (HetNets) have been introduced as an emerging
technology in order to meet the increasing demand for mobile data. HetNets are
a combination of multi-layer networks such as macrocells and small cells. In
such networks, users may suffer significant cross-layer interference. To manage
this interfer... | [
{
"created": "Sun, 10 Apr 2016 22:12:53 GMT",
"version": "v1"
}
] | 2016-04-15 | [
[
"Vu",
"Trung Kien",
""
],
[
"Kwon",
"Sungoh",
""
],
[
"Oh",
"Sangchul",
""
]
] | Heterogeneous hetworks (HetNets) have been introduced as an emerging technology in order to meet the increasing demand for mobile data. HetNets are a combination of multi-layer networks such as macrocells and small cells. In such networks, users may suffer significant cross-layer interference. To manage this interferen... |
cs/0601010 | Xiaowen Zhang | Xiaowen Zhang, Li Shu, Ke Tang | Multi-Map Orbit Hopping Chaotic Stream Cipher | 9 pages | null | null | null | cs.CR | null | In this paper we propose a multi-map orbit hopping chaotic stream cipher that
utilizes the idea of spread spectrum mechanism for secure digital
communications and fundamental chaos characteristics of mixing, unpredictable,
and extremely sensitive to initial conditions. The design, key and subkeys, and
detail implemen... | [
{
"created": "Thu, 5 Jan 2006 21:52:55 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Zhang",
"Xiaowen",
""
],
[
"Shu",
"Li",
""
],
[
"Tang",
"Ke",
""
]
] | In this paper we propose a multi-map orbit hopping chaotic stream cipher that utilizes the idea of spread spectrum mechanism for secure digital communications and fundamental chaos characteristics of mixing, unpredictable, and extremely sensitive to initial conditions. The design, key and subkeys, and detail implementa... |
2101.03441 | Khashayar Kamran | Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, and Edmund Yeh | Rate Allocation and Content Placement in Cache Networks | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | We introduce the problem of optimal congestion control in cache networks,
whereby \emph{both} rate allocations and content placements are optimized
\emph{jointly}. We formulate this as a maximization problem with non-convex
constraints, and propose solving this problem via (a) a Lagrangian barrier
algorithm and (b) a... | [
{
"created": "Sat, 9 Jan 2021 23:19:55 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Feb 2021 18:44:18 GMT",
"version": "v2"
}
] | 2021-02-15 | [
[
"Kamran",
"Khashayar",
""
],
[
"Moharrer",
"Armin",
""
],
[
"Ioannidis",
"Stratis",
""
],
[
"Yeh",
"Edmund",
""
]
] | We introduce the problem of optimal congestion control in cache networks, whereby \emph{both} rate allocations and content placements are optimized \emph{jointly}. We formulate this as a maximization problem with non-convex constraints, and propose solving this problem via (a) a Lagrangian barrier algorithm and (b) a c... |
2211.15039 | Aozhu Chen | Xirong Li, Aozhu Chen, Ziyue Wang, Fan Hu, Kaibin Tian, Xinru Chen,
Chengbo Dong | Renmin University of China at TRECVID 2022: Improving Video Search by
Feature Fusion and Negation Understanding | null | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We summarize our TRECVID 2022 Ad-hoc Video Search (AVS) experiments. Our
solution is built with two new techniques, namely Lightweight Attentional
Feature Fusion (LAFF) for combining diverse visual / textual features and
Bidirectional Negation Learning (BNL) for addressing queries that contain
negation cues. In parti... | [
{
"created": "Mon, 28 Nov 2022 03:54:53 GMT",
"version": "v1"
}
] | 2022-11-29 | [
[
"Li",
"Xirong",
""
],
[
"Chen",
"Aozhu",
""
],
[
"Wang",
"Ziyue",
""
],
[
"Hu",
"Fan",
""
],
[
"Tian",
"Kaibin",
""
],
[
"Chen",
"Xinru",
""
],
[
"Dong",
"Chengbo",
""
]
] | We summarize our TRECVID 2022 Ad-hoc Video Search (AVS) experiments. Our solution is built with two new techniques, namely Lightweight Attentional Feature Fusion (LAFF) for combining diverse visual / textual features and Bidirectional Negation Learning (BNL) for addressing queries that contain negation cues. In particu... |
2302.06889 | Heiko R\"oglin | Matthias Englert, Heiko R\"oglin, Berthold V\"ocking | Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP | An extended abstract of this work has appeared in the Proc. of the
18th ACM-SIAM Symposium on Discrete Algorithms. The results of this extended
abstract have been split into two articles (Algorithmica 2014) and (ACM
Transactions on Algorithms 2016). This report is an updated version of the
first journal article... | Algorithmica, 68(1):190-264, 2014 | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 2-Opt is probably the most basic local search heuristic for the TSP. This
heuristic achieves amazingly good results on real world Euclidean instances
both with respect to running time and approximation ratio. There are numerous
experimental studies on the performance of 2-Opt. However, the theoretical
knowledge about... | [
{
"created": "Tue, 14 Feb 2023 08:24:57 GMT",
"version": "v1"
}
] | 2023-02-15 | [
[
"Englert",
"Matthias",
""
],
[
"Röglin",
"Heiko",
""
],
[
"Vöcking",
"Berthold",
""
]
] | 2-Opt is probably the most basic local search heuristic for the TSP. This heuristic achieves amazingly good results on real world Euclidean instances both with respect to running time and approximation ratio. There are numerous experimental studies on the performance of 2-Opt. However, the theoretical knowledge about t... |
2402.12399 | Zhiyuan Zeng | Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou,
Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu | Turn Waste into Worth: Rectifying Top-$k$ Router of MoE | null | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Sparse Mixture of Experts (MoE) models are popular for training large
language models due to their computational efficiency. However, the commonly
used top-$k$ routing mechanism suffers from redundancy computation and memory
costs due to the unbalanced routing. Some experts are overflow, where the
exceeding tokens ar... | [
{
"created": "Sat, 17 Feb 2024 06:23:27 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Feb 2024 13:33:12 GMT",
"version": "v2"
}
] | 2024-02-22 | [
[
"Zeng",
"Zhiyuan",
""
],
[
"Guo",
"Qipeng",
""
],
[
"Fei",
"Zhaoye",
""
],
[
"Yin",
"Zhangyue",
""
],
[
"Zhou",
"Yunhua",
""
],
[
"Li",
"Linyang",
""
],
[
"Sun",
"Tianxiang",
""
],
[
"Yan",
"Han... | Sparse Mixture of Experts (MoE) models are popular for training large language models due to their computational efficiency. However, the commonly used top-$k$ routing mechanism suffers from redundancy computation and memory costs due to the unbalanced routing. Some experts are overflow, where the exceeding tokens are ... |
1710.11445 | Ya Zhang | Yuefu Zhou, Shanshan Huang, Ya Zhang, Yanfeng Wang | Deep Hashing with Triplet Quantization Loss | 4 pages, to be presented at IEEE VCIP 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the explosive growth of image databases, deep hashing, which learns
compact binary descriptors for images, has become critical for fast image
retrieval. Many existing deep hashing methods leverage quantization loss,
defined as distance between the features before and after quantization, to
reduce the error from ... | [
{
"created": "Tue, 31 Oct 2017 13:08:42 GMT",
"version": "v1"
}
] | 2017-11-01 | [
[
"Zhou",
"Yuefu",
""
],
[
"Huang",
"Shanshan",
""
],
[
"Zhang",
"Ya",
""
],
[
"Wang",
"Yanfeng",
""
]
] | With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval. Many existing deep hashing methods leverage quantization loss, defined as distance between the features before and after quantization, to reduce the error from bi... |
2205.08452 | Scott Cheng-Hsin Yang | Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto | A Psychological Theory of Explainability | 15 pages, 3 figures, ICML 2022 | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | The goal of explainable Artificial Intelligence (XAI) is to generate
human-interpretable explanations, but there are no computationally precise
theories of how humans interpret AI generated explanations. The lack of theory
means that validation of XAI must be done empirically, on a case-by-case basis,
which prevents ... | [
{
"created": "Tue, 17 May 2022 15:52:24 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jun 2022 17:44:34 GMT",
"version": "v2"
}
] | 2022-06-10 | [
[
"Yang",
"Scott Cheng-Hsin",
""
],
[
"Folke",
"Tomas",
""
],
[
"Shafto",
"Patrick",
""
]
] | The goal of explainable Artificial Intelligence (XAI) is to generate human-interpretable explanations, but there are no computationally precise theories of how humans interpret AI generated explanations. The lack of theory means that validation of XAI must be done empirically, on a case-by-case basis, which prevents sy... |
2202.12058 | Frederik Noe | Frederik Noe, Rasmus Herskind, Anders S{\o}gaard | Exploring the Unfairness of DP-SGD Across Settings | 6 pages, 3 figures, https://aaai-ppai22.github.io/ | The Third AAAI Workshop on Privacy-Preserving Artificial
Intelligence (PPAI-22) (2022) | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by/4.0/ | End users and regulators require private and fair artificial intelligence
models, but previous work suggests these objectives may be at odds. We use the
CivilComments to evaluate the impact of applying the {\em de facto} standard
approach to privacy, DP-SGD, across several fairness metrics. We evaluate three
implemen... | [
{
"created": "Thu, 24 Feb 2022 12:26:08 GMT",
"version": "v1"
}
] | 2022-02-25 | [
[
"Noe",
"Frederik",
""
],
[
"Herskind",
"Rasmus",
""
],
[
"Søgaard",
"Anders",
""
]
] | End users and regulators require private and fair artificial intelligence models, but previous work suggests these objectives may be at odds. We use the CivilComments to evaluate the impact of applying the {\em de facto} standard approach to privacy, DP-SGD, across several fairness metrics. We evaluate three implementa... |
0705.1214 | Tshilidzi Marwala | Tshilidzi Marwala | Control of Complex Systems Using Bayesian Networks and Genetic Algorithm | 6 pages | null | null | null | cs.CE cs.NE | null | A method based on Bayesian neural networks and genetic algorithm is proposed
to control the fermentation process. The relationship between input and output
variables is modelled using Bayesian neural network that is trained using
hybrid Monte Carlo method. A feedback loop based on genetic algorithm is used
to change ... | [
{
"created": "Wed, 9 May 2007 07:08:58 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Marwala",
"Tshilidzi",
""
]
] | A method based on Bayesian neural networks and genetic algorithm is proposed to control the fermentation process. The relationship between input and output variables is modelled using Bayesian neural network that is trained using hybrid Monte Carlo method. A feedback loop based on genetic algorithm is used to change in... |
2201.06974 | Donald Shenaj | Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh | Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation | 24 pages, 9 figures, 6 tables, under submission | null | 10.1016/j.imavis.2022.104426 | null | cs.CV cs.AI cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks are typically trained in a single shot for a specific
task and data distribution, but in real world settings both the task and the
domain of application can change. The problem becomes even more challenging in
dense predictive tasks, such as semantic segmentation, and furthermore most
approaches ... | [
{
"created": "Tue, 18 Jan 2022 13:31:19 GMT",
"version": "v1"
}
] | 2022-06-29 | [
[
"Shenaj",
"Donald",
""
],
[
"Barbato",
"Francesco",
""
],
[
"Michieli",
"Umberto",
""
],
[
"Zanuttigh",
"Pietro",
""
]
] | Deep neural networks are typically trained in a single shot for a specific task and data distribution, but in real world settings both the task and the domain of application can change. The problem becomes even more challenging in dense predictive tasks, such as semantic segmentation, and furthermore most approaches ta... |
2307.05633 | Yue Tian | Yue Tian, Guanjun Liu, Jiacun Wang, Mengchu Zhou | Transaction Fraud Detection via an Adaptive Graph Neural Network | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many machine learning methods have been proposed to achieve accurate
transaction fraud detection, which is essential to the financial security of
individuals and banks. However, most existing methods leverage original
features only or require manual feature engineering. They lack the ability to
learn discriminative r... | [
{
"created": "Tue, 11 Jul 2023 07:48:39 GMT",
"version": "v1"
}
] | 2023-07-13 | [
[
"Tian",
"Yue",
""
],
[
"Liu",
"Guanjun",
""
],
[
"Wang",
"Jiacun",
""
],
[
"Zhou",
"Mengchu",
""
]
] | Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks. However, most existing methods leverage original features only or require manual feature engineering. They lack the ability to learn discriminative rep... |
2211.08057 | Elaine Zosa | Elaine Zosa and Lidia Pivovarova | Multilingual and Multimodal Topic Modelling with Pretrained Embeddings | Published in COLING 2022 Proceddings | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | This paper presents M3L-Contrast -- a novel multimodal multilingual (M3L)
neural topic model for comparable data that maps texts from multiple languages
and images into a shared topic space. Our model is trained jointly on texts and
images and takes advantage of pretrained document and image embeddings to
abstract th... | [
{
"created": "Tue, 15 Nov 2022 11:15:50 GMT",
"version": "v1"
}
] | 2022-11-16 | [
[
"Zosa",
"Elaine",
""
],
[
"Pivovarova",
"Lidia",
""
]
] | This paper presents M3L-Contrast -- a novel multimodal multilingual (M3L) neural topic model for comparable data that maps texts from multiple languages and images into a shared topic space. Our model is trained jointly on texts and images and takes advantage of pretrained document and image embeddings to abstract the ... |
1112.3765 | Gero Greiner | Gero Greiner and Riko Jacob | The Efficiency of MapReduce in Parallel External Memory | null | null | null | null | cs.DC cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since its introduction in 2004, the MapReduce framework has become one of the
standard approaches in massive distributed and parallel computation. In
contrast to its intensive use in practise, theoretical footing is still limited
and only little work has been done yet to put MapReduce on a par with the major
computat... | [
{
"created": "Fri, 16 Dec 2011 11:27:07 GMT",
"version": "v1"
}
] | 2011-12-19 | [
[
"Greiner",
"Gero",
""
],
[
"Jacob",
"Riko",
""
]
] | Since its introduction in 2004, the MapReduce framework has become one of the standard approaches in massive distributed and parallel computation. In contrast to its intensive use in practise, theoretical footing is still limited and only little work has been done yet to put MapReduce on a par with the major computatio... |
1505.06792 | Zhiyuan Lin | Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P.
Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau | Seeing the Forest through the Trees: Adaptive Local Exploration of Large
Graphs | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visualization is a powerful paradigm for exploratory data analysis.
Visualizing large graphs, however, often results in a meaningless hairball. In
this paper, we propose a different approach that helps the user adaptively
explore large million-node graphs from a local perspective. For nodes that the
user investigates... | [
{
"created": "Tue, 26 May 2015 02:47:12 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jul 2016 03:47:44 GMT",
"version": "v2"
}
] | 2016-07-25 | [
[
"Pienta",
"Robert",
""
],
[
"Lin",
"Zhiyuan",
""
],
[
"Kahng",
"Minsuk",
""
],
[
"Vreeken",
"Jilles",
""
],
[
"Talukdar",
"Partha P.",
""
],
[
"Abello",
"James",
""
],
[
"Parameswaran",
"Ganesh",
""
],
... | Visualization is a powerful paradigm for exploratory data analysis. Visualizing large graphs, however, often results in a meaningless hairball. In this paper, we propose a different approach that helps the user adaptively explore large million-node graphs from a local perspective. For nodes that the user investigates, ... |
2006.05875 | Bruce Collie | Bruce Collie, Michael O'Boyle | Retrofitting Symbolic Holes to LLVM IR | Accepted to TyDe 2020 | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Symbolic holes are one of the fundamental building blocks of solver-aided and
interactive programming. Unknown values can be soundly integrated into
programs, and automated tools such as SAT solvers can be used to prove
properties of programs containing them. However, supporting symbolic holes in a
programming langua... | [
{
"created": "Wed, 10 Jun 2020 15:01:08 GMT",
"version": "v1"
}
] | 2020-06-11 | [
[
"Collie",
"Bruce",
""
],
[
"O'Boyle",
"Michael",
""
]
] | Symbolic holes are one of the fundamental building blocks of solver-aided and interactive programming. Unknown values can be soundly integrated into programs, and automated tools such as SAT solvers can be used to prove properties of programs containing them. However, supporting symbolic holes in a programming language... |
1911.07320 | Giulia Fracastoro | Giuseppe C. Calafiore and Giulia Fracastoro | Sparse $\ell_1$ and $\ell_2$ Center Classifiers | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The nearest-centroid classifier is a simple linear-time classifier based on
computing the centroids of the data classes in the training phase, and then
assigning a new datum to the class corresponding to its nearest centroid.
Thanks to its very low computational cost, the nearest-centroid classifier is
still widely u... | [
{
"created": "Sun, 17 Nov 2019 19:15:59 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Nov 2019 11:10:45 GMT",
"version": "v2"
}
] | 2019-11-26 | [
[
"Calafiore",
"Giuseppe C.",
""
],
[
"Fracastoro",
"Giulia",
""
]
] | The nearest-centroid classifier is a simple linear-time classifier based on computing the centroids of the data classes in the training phase, and then assigning a new datum to the class corresponding to its nearest centroid. Thanks to its very low computational cost, the nearest-centroid classifier is still widely use... |
1705.01453 | Pietro Danzi | Pietro Danzi, Marko Angjelichinoski, \v{C}edomir Stefanovi\'c, Petar
Popovski | Distributed Proportional-Fairness Control in MicroGrids via Blockchain
Smart Contracts | Paper submitted to "IEEE Smartgridcomm 2017" | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Residential microgrids (MGs) may host a large number of Distributed Energy
Resources (DERs). The strategy that maximizes the revenue for each individual
DER is the one in which the DER operates at capacity, injecting all available
power into the grid. However, when the DER penetration is high and the
consumption low,... | [
{
"created": "Wed, 3 May 2017 14:42:38 GMT",
"version": "v1"
},
{
"created": "Tue, 16 May 2017 08:43:52 GMT",
"version": "v2"
}
] | 2017-05-17 | [
[
"Danzi",
"Pietro",
""
],
[
"Angjelichinoski",
"Marko",
""
],
[
"Stefanović",
"Čedomir",
""
],
[
"Popovski",
"Petar",
""
]
] | Residential microgrids (MGs) may host a large number of Distributed Energy Resources (DERs). The strategy that maximizes the revenue for each individual DER is the one in which the DER operates at capacity, injecting all available power into the grid. However, when the DER penetration is high and the consumption low, t... |
2203.14721 | Carlos Batista MSc. | Carlos L G Batista, Fatima Mattiello-Francisco, Andras Pataricza | Heterogeneous Federated CubeSat System: problems, constraints and
capabilities | 4 pages, 4 figures | null | null | null | cs.DC cs.OH | http://creativecommons.org/licenses/by/4.0/ | Different arguments were being presented in the last decade about CubeSats
and their applications. Some of them address wireless communication (5G and 6G
technologies) trying to achieve better characteristics as coverage and
connectivity. Some arrived with terms as IoST (Internet of Space Things),
Internet of Satelli... | [
{
"created": "Tue, 8 Mar 2022 13:14:31 GMT",
"version": "v1"
}
] | 2022-03-29 | [
[
"Batista",
"Carlos L G",
""
],
[
"Mattiello-Francisco",
"Fatima",
""
],
[
"Pataricza",
"Andras",
""
]
] | Different arguments were being presented in the last decade about CubeSats and their applications. Some of them address wireless communication (5G and 6G technologies) trying to achieve better characteristics as coverage and connectivity. Some arrived with terms as IoST (Internet of Space Things), Internet of Satellite... |
2206.10349 | Keisuke Imoto | Kayo Nada and Keisuke Imoto and Takao Tsuchiya | Joint Analysis of Acoustic Scenes and Sound Events Based on Multitask
Learning with Dynamic Weight Adaptation | Submitted to Acoustical Science and Technology | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Acoustic scene classification (ASC) and sound event detection (SED) are major
topics in environmental sound analysis. Considering that acoustic scenes and
sound events are closely related to each other, the joint analysis of acoustic
scenes and sound events using multitask learning (MTL)-based neural networks
was pro... | [
{
"created": "Tue, 21 Jun 2022 13:05:56 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Nada",
"Kayo",
""
],
[
"Imoto",
"Keisuke",
""
],
[
"Tsuchiya",
"Takao",
""
]
] | Acoustic scene classification (ASC) and sound event detection (SED) are major topics in environmental sound analysis. Considering that acoustic scenes and sound events are closely related to each other, the joint analysis of acoustic scenes and sound events using multitask learning (MTL)-based neural networks was propo... |
2306.10308 | Florent Gu\'epin | Matthieu Meeus, Florent Gu\'epin, Ana-Maria Cretu and Yves-Alexandre
de Montjoye | Achilles' Heels: Vulnerable Record Identification in Synthetic Data
Publishing | null | Computer Security ESORICS 2023 | 10.1007/978-3-031-51476-0_19 | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Synthetic data is seen as the most promising solution to share
individual-level data while preserving privacy. Shadow modeling-based
Membership Inference Attacks (MIAs) have become the standard approach to
evaluate the privacy risk of synthetic data. While very effective, they require
a large number of datasets to be... | [
{
"created": "Sat, 17 Jun 2023 09:42:46 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Sep 2023 09:17:16 GMT",
"version": "v2"
}
] | 2024-02-12 | [
[
"Meeus",
"Matthieu",
""
],
[
"Guépin",
"Florent",
""
],
[
"Cretu",
"Ana-Maria",
""
],
[
"de Montjoye",
"Yves-Alexandre",
""
]
] | Synthetic data is seen as the most promising solution to share individual-level data while preserving privacy. Shadow modeling-based Membership Inference Attacks (MIAs) have become the standard approach to evaluate the privacy risk of synthetic data. While very effective, they require a large number of datasets to be c... |
1309.1334 | Alan Schmitt | Todd J. Green and Alan Schmitt | Proceedings of the 14th International Symposium on Database Programming
Languages (DBPL 2013), August 30, 2013, Riva del Garda, Trento, Italy | null | null | null | null | cs.DB cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This volume contains the papers presented at the 14th Symposium on Database
Programming Languages (DBPL 2013) held on August 30th, 2013, in Riva del Garda,
co-located with the 39th International Conference on Very Large Databases (VLDB
2013). They cover a wide range of topics including the application of
programming ... | [
{
"created": "Thu, 5 Sep 2013 12:48:03 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Sep 2013 09:48:21 GMT",
"version": "v2"
}
] | 2013-09-11 | [
[
"Green",
"Todd J.",
""
],
[
"Schmitt",
"Alan",
""
]
] | This volume contains the papers presented at the 14th Symposium on Database Programming Languages (DBPL 2013) held on August 30th, 2013, in Riva del Garda, co-located with the 39th International Conference on Very Large Databases (VLDB 2013). They cover a wide range of topics including the application of programming la... |
1607.08181 | Konstantin Yakovlev S | Aleksandr I. Panov, Konstantin Yakovlev | Psychologically inspired planning method for smart relocation task | As submitted to the 7th International Conference on Biologically
Inspired Cognitive Architectures (BICA 2016), New-York, USA, July 16-19 2016 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Behavior planning is known to be one of the basic cognitive functions, which
is essential for any cognitive architecture of any control system used in
robotics. At the same time most of the widespread planning algorithms employed
in those systems are developed using only approaches and models of Artificial
Intelligen... | [
{
"created": "Wed, 27 Jul 2016 17:08:05 GMT",
"version": "v1"
}
] | 2016-07-28 | [
[
"Panov",
"Aleksandr I.",
""
],
[
"Yakovlev",
"Konstantin",
""
]
] | Behavior planning is known to be one of the basic cognitive functions, which is essential for any cognitive architecture of any control system used in robotics. At the same time most of the widespread planning algorithms employed in those systems are developed using only approaches and models of Artificial Intelligence... |
1907.02464 | Boyang Wang | Boyang Wang, Jianwei Gong, Wenli Liang, Huiyan Chen | Regeneration and Joining of the Learned Motion Primitives for Automated
Vehicle Motion Planning Applications | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How to integrate human factors into the motion planning system is of great
significance for improving the acceptance of intelligent vehicles. Decomposing
motion into primitives and then accurately and smoothly joining the motion
primitives (MPs) is an essential issue in the motion planning system.
Therefore, the purp... | [
{
"created": "Thu, 4 Jul 2019 15:39:58 GMT",
"version": "v1"
}
] | 2019-07-05 | [
[
"Wang",
"Boyang",
""
],
[
"Gong",
"Jianwei",
""
],
[
"Liang",
"Wenli",
""
],
[
"Chen",
"Huiyan",
""
]
] | How to integrate human factors into the motion planning system is of great significance for improving the acceptance of intelligent vehicles. Decomposing motion into primitives and then accurately and smoothly joining the motion primitives (MPs) is an essential issue in the motion planning system. Therefore, the purpos... |
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