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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2406.05506 | Lior Limonad | Fabiana Fournier, Lior Limonad, Inna Skarbovsky | Towards a Benchmark for Causal Business Process Reasoning with LLMs | 12 pages, 1 figure | NLP4BPM workshop at BPM 2024 | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) are increasingly used for boosting
organizational efficiency and automating tasks. While not originally designed
for complex cognitive processes, recent efforts have further extended to employ
LLMs in activities such as reasoning, planning, and decision-making. In
business processes, such... | [
{
"created": "Sat, 8 Jun 2024 16:10:53 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jul 2024 15:48:32 GMT",
"version": "v2"
}
] | 2024-08-13 | [
[
"Fournier",
"Fabiana",
""
],
[
"Limonad",
"Lior",
""
],
[
"Skarbovsky",
"Inna",
""
]
] | Large Language Models (LLMs) are increasingly used for boosting organizational efficiency and automating tasks. While not originally designed for complex cognitive processes, recent efforts have further extended to employ LLMs in activities such as reasoning, planning, and decision-making. In business processes, such a... |
cs/0703061 | Ralf Koetter | Ralf Koetter and Frank Kschischang | Coding for Errors and Erasures in Random Network Coding | This revised paper contains some minor changes and clarifications | null | null | null | cs.IT cs.NI math.IT | null | The problem of error-control in random linear network coding is considered. A
``noncoherent'' or ``channel oblivious'' model is assumed where neither
transmitter nor receiver is assumed to have knowledge of the channel transfer
characteristic. Motivated by the property that linear network coding is
vector-space prese... | [
{
"created": "Tue, 13 Mar 2007 07:43:46 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Mar 2008 16:29:01 GMT",
"version": "v2"
}
] | 2008-03-25 | [
[
"Koetter",
"Ralf",
""
],
[
"Kschischang",
"Frank",
""
]
] | The problem of error-control in random linear network coding is considered. A ``noncoherent'' or ``channel oblivious'' model is assumed where neither transmitter nor receiver is assumed to have knowledge of the channel transfer characteristic. Motivated by the property that linear network coding is vector-space preserv... |
2303.00865 | Ramin Nakhli | Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani,
Alexander Baras, Blake Gilks, Ali Bashashati | AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context
Processing for Representation Learning of Giga-pixel Images | Accepted at CVPR 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Processing giga-pixel whole slide histopathology images (WSI) is a
computationally expensive task. Multiple instance learning (MIL) has become the
conventional approach to process WSIs, in which these images are split into
smaller patches for further processing. However, MIL-based techniques ignore
explicit informati... | [
{
"created": "Wed, 1 Mar 2023 23:37:45 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Jul 2023 13:25:47 GMT",
"version": "v2"
}
] | 2023-07-06 | [
[
"Nakhli",
"Ramin",
""
],
[
"Moghadam",
"Puria Azadi",
""
],
[
"Mi",
"Haoyang",
""
],
[
"Farahani",
"Hossein",
""
],
[
"Baras",
"Alexander",
""
],
[
"Gilks",
"Blake",
""
],
[
"Bashashati",
"Ali",
""
]
] | Processing giga-pixel whole slide histopathology images (WSI) is a computationally expensive task. Multiple instance learning (MIL) has become the conventional approach to process WSIs, in which these images are split into smaller patches for further processing. However, MIL-based techniques ignore explicit information... |
1003.3418 | John Fearnley | John Fearnley | Exponential Lower Bounds For Policy Iteration | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study policy iteration for infinite-horizon Markov decision processes. It
has recently been shown policy iteration style algorithms have exponential
lower bounds in a two player game setting. We extend these lower bounds to
Markov decision processes with the total reward and average-reward optimality
criteria.
| [
{
"created": "Wed, 17 Mar 2010 17:48:58 GMT",
"version": "v1"
}
] | 2010-03-18 | [
[
"Fearnley",
"John",
""
]
] | We study policy iteration for infinite-horizon Markov decision processes. It has recently been shown policy iteration style algorithms have exponential lower bounds in a two player game setting. We extend these lower bounds to Markov decision processes with the total reward and average-reward optimality criteria. |
2311.10969 | Genoveva Vargas Solar | Genoveva Vargas-Solar, Santiago Negrete-Yankelevich, Javier A.
Espinosa-Oviedo, Khalid Belhajjame, Jos\'e-Luis Zechinelli-Martini | MATILDA: Inclusive Data Science Pipelines Design through Computational
Creativity | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | We argue for the need for a new generation of data science solutions that can
democratize recent advances in data engineering and artificial intelligence for
non-technical users from various disciplines, enabling them to unlock the full
potential of these solutions. To do so, we adopt an approach whereby
computationa... | [
{
"created": "Sat, 18 Nov 2023 04:37:07 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Vargas-Solar",
"Genoveva",
""
],
[
"Negrete-Yankelevich",
"Santiago",
""
],
[
"Espinosa-Oviedo",
"Javier A.",
""
],
[
"Belhajjame",
"Khalid",
""
],
[
"Zechinelli-Martini",
"José-Luis",
""
]
] | We argue for the need for a new generation of data science solutions that can democratize recent advances in data engineering and artificial intelligence for non-technical users from various disciplines, enabling them to unlock the full potential of these solutions. To do so, we adopt an approach whereby computational ... |
1906.05651 | Pushpendre Rastogi | Pushpendre Rastogi | Representation Learning for Words and Entities | phd thesis, Machine Learning, Natural Language Processing,
Representation Learning, Knowledge Graphs, Entities, Word Embeddings, Entity
Embeddings | null | null | null | cs.CL cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This thesis presents new methods for unsupervised learning of distributed
representations of words and entities from text and knowledge bases. The first
algorithm presented in the thesis is a multi-view algorithm for learning
representations of words called Multiview Latent Semantic Analysis (MVLSA). By
incorporating... | [
{
"created": "Wed, 12 Jun 2019 17:29:22 GMT",
"version": "v1"
}
] | 2019-06-14 | [
[
"Rastogi",
"Pushpendre",
""
]
] | This thesis presents new methods for unsupervised learning of distributed representations of words and entities from text and knowledge bases. The first algorithm presented in the thesis is a multi-view algorithm for learning representations of words called Multiview Latent Semantic Analysis (MVLSA). By incorporating u... |
2207.03807 | Anurag Arnab | Anurag Arnab, Xuehan Xiong, Alexey Gritsenko, Rob Romijnders, Josip
Djolonga, Mostafa Dehghani, Chen Sun, Mario Lu\v{c}i\'c, Cordelia Schmid | Beyond Transfer Learning: Co-finetuning for Action Localisation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transfer learning is the predominant paradigm for training deep networks on
small target datasets. Models are typically pretrained on large ``upstream''
datasets for classification, as such labels are easy to collect, and then
finetuned on ``downstream'' tasks such as action localisation, which are
smaller due to the... | [
{
"created": "Fri, 8 Jul 2022 10:25:47 GMT",
"version": "v1"
}
] | 2022-07-11 | [
[
"Arnab",
"Anurag",
""
],
[
"Xiong",
"Xuehan",
""
],
[
"Gritsenko",
"Alexey",
""
],
[
"Romijnders",
"Rob",
""
],
[
"Djolonga",
"Josip",
""
],
[
"Dehghani",
"Mostafa",
""
],
[
"Sun",
"Chen",
""
],
[
"... | Transfer learning is the predominant paradigm for training deep networks on small target datasets. Models are typically pretrained on large ``upstream'' datasets for classification, as such labels are easy to collect, and then finetuned on ``downstream'' tasks such as action localisation, which are smaller due to their... |
1903.12303 | Maria Cruz Varona | Maria Cruz Varona, Nico Schneucker, Boris Lohmann | Nonlinear Moment Matching for the Simulation-Free Reduction of
Structural Systems | 7 pages, 3 figures; short version arXiv:1901.10750 submitted to
NOLCOS 2019; https://zenodo.org/record/2611120 | null | null | null | cs.CE cs.NA cs.SY math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper transfers the concept of moment matching to nonlinear structural
systems and further provides a simulation-free reduction scheme for such
nonlinear second-order models. After first presenting the steady-state
interpretation of linear moment matching, we then extend this reduction concept
to the nonlinear s... | [
{
"created": "Thu, 28 Mar 2019 16:43:49 GMT",
"version": "v1"
}
] | 2019-04-01 | [
[
"Varona",
"Maria Cruz",
""
],
[
"Schneucker",
"Nico",
""
],
[
"Lohmann",
"Boris",
""
]
] | This paper transfers the concept of moment matching to nonlinear structural systems and further provides a simulation-free reduction scheme for such nonlinear second-order models. After first presenting the steady-state interpretation of linear moment matching, we then extend this reduction concept to the nonlinear sec... |
2311.16834 | Qiqi Su | Qiqi Su, Christos Kloukinas, Artur d'Avila Garcez | FocusLearn: Fully-Interpretable, High-Performance Modular Neural
Networks for Time Series | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Multivariate time series have many applications, from healthcare and
meteorology to life science. Although deep learning models have shown excellent
predictive performance for time series, they have been criticised for being
"black-boxes" or non-interpretable. This paper proposes a novel modular neural
network model ... | [
{
"created": "Tue, 28 Nov 2023 14:51:06 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2023 13:23:42 GMT",
"version": "v2"
},
{
"created": "Mon, 18 Mar 2024 17:39:11 GMT",
"version": "v3"
},
{
"created": "Fri, 3 May 2024 16:44:31 GMT",
"version": "v4"
}
] | 2024-05-06 | [
[
"Su",
"Qiqi",
""
],
[
"Kloukinas",
"Christos",
""
],
[
"Garcez",
"Artur d'Avila",
""
]
] | Multivariate time series have many applications, from healthcare and meteorology to life science. Although deep learning models have shown excellent predictive performance for time series, they have been criticised for being "black-boxes" or non-interpretable. This paper proposes a novel modular neural network model fo... |
2311.12823 | Niful Islam | Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan, Sunny Sutradhar,
Atikur Rahman, Md. Motaharul Islam | EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for
E-Waste Classification | 6 pages | 2023 IEEE 8th International Conference On Software Engineering and
Computer Systems (ICSECS), Penang, Malaysia, 2023, pp. 435-440 | 10.1109/ICSECS58457.2023.10256323 | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Improper disposal of e-waste poses global environmental and health risks,
raising serious concerns. The accurate classification of e-waste images is
critical for efficient management and recycling. In this paper, we have
presented a comprehensive dataset comprised of eight different classes of
images of electronic de... | [
{
"created": "Thu, 28 Sep 2023 13:12:45 GMT",
"version": "v1"
}
] | 2023-11-23 | [
[
"Islam",
"Niful",
""
],
[
"Jony",
"Md. Mehedi Hasan",
""
],
[
"Hasan",
"Emam",
""
],
[
"Sutradhar",
"Sunny",
""
],
[
"Rahman",
"Atikur",
""
],
[
"Islam",
"Md. Motaharul",
""
]
] | Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we have presented a comprehensive dataset comprised of eight different classes of images of electronic devi... |
1904.05059 | Chao Zhang | Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu | C3AE: Exploring the Limits of Compact Model for Age Estimation | accepted by cvpr2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Age estimation is a classic learning problem in computer vision. Many larger
and deeper CNNs have been proposed with promising performance, such as AlexNet,
VggNet, GoogLeNet and ResNet. However, these models are not practical for the
embedded/mobile devices. Recently, MobileNets and ShuffleNets have been
proposed to... | [
{
"created": "Wed, 10 Apr 2019 08:33:14 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2019 15:24:36 GMT",
"version": "v2"
}
] | 2019-04-12 | [
[
"Zhang",
"Chao",
""
],
[
"Liu",
"Shuaicheng",
""
],
[
"Xu",
"Xun",
""
],
[
"Zhu",
"Ce",
""
]
] | Age estimation is a classic learning problem in computer vision. Many larger and deeper CNNs have been proposed with promising performance, such as AlexNet, VggNet, GoogLeNet and ResNet. However, these models are not practical for the embedded/mobile devices. Recently, MobileNets and ShuffleNets have been proposed to r... |
2206.04520 | Bao Bach | Trung Dinh Pham, Bao Gia Bach, Lam Trinh Luu, Minh Dinh Nguyen, Hai
Duc Pham, Khoa Bui Anh, Xuan Quang Nguyen, Cuong Pham Quoc | An FPGA-based Solution for Convolution Operation Acceleration | 11 pages, 6 figures, accepted to The First International Conference
on Intelligence of Things (ICIT 2022) | Lecture Notes on Data Engineering and Communications Technologies,
vol 148. Springer, 2022, | 10.1007/978-3-031-15063-0_26 | null | cs.AR cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Hardware-based acceleration is an extensive attempt to facilitate many
computationally-intensive mathematics operations. This paper proposes an
FPGA-based architecture to accelerate the convolution operation - a complex and
expensive computing step that appears in many Convolutional Neural Network
models. We target t... | [
{
"created": "Thu, 9 Jun 2022 14:12:30 GMT",
"version": "v1"
}
] | 2023-02-28 | [
[
"Pham",
"Trung Dinh",
""
],
[
"Bach",
"Bao Gia",
""
],
[
"Luu",
"Lam Trinh",
""
],
[
"Nguyen",
"Minh Dinh",
""
],
[
"Pham",
"Hai Duc",
""
],
[
"Anh",
"Khoa Bui",
""
],
[
"Nguyen",
"Xuan Quang",
""
],
[
... | Hardware-based acceleration is an extensive attempt to facilitate many computationally-intensive mathematics operations. This paper proposes an FPGA-based architecture to accelerate the convolution operation - a complex and expensive computing step that appears in many Convolutional Neural Network models. We target the... |
2402.10779 | Mingchen Li | Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao | A Condensed Transition Graph Framework for Zero-shot Link Prediction
with Large Language Models | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Zero-shot link prediction (ZSLP) on knowledge graphs aims at automatically
identifying relations between given entities. Existing methods primarily employ
auxiliary information to predict tail entity given head entity and its
relation, yet face challenges due to the occasional unavailability of such
detailed informat... | [
{
"created": "Fri, 16 Feb 2024 16:02:33 GMT",
"version": "v1"
}
] | 2024-02-19 | [
[
"Li",
"Mingchen",
""
],
[
"Ling",
"Chen",
""
],
[
"Zhang",
"Rui",
""
],
[
"Zhao",
"Liang",
""
]
] | Zero-shot link prediction (ZSLP) on knowledge graphs aims at automatically identifying relations between given entities. Existing methods primarily employ auxiliary information to predict tail entity given head entity and its relation, yet face challenges due to the occasional unavailability of such detailed informatio... |
1601.02225 | Hamid Mansouri | Hamid Mansouri (Machine Vision Lab., Computer Engineering Department,
Ferdowsi University of Mashhad, Mashhad, Iran) and Hamid-Reza Pourreza
(Machine Vision Lab., Computer Engineering Department, Ferdowsi University of
Mashhad, Mashhad, Iran) | Parallel Stroked Multi Line: a model-based method for compressing large
fingerprint databases | 26 pages, 10 figures, submitted to Computer Vision and Image
Understanding | null | null | null | cs.CV cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With increasing usage of fingerprints as an important biometric data, the
need to compress the large fingerprint databases has become essential. The most
recommended compression algorithm, even by standards, is JPEG2K. But at high
compression rates, this algorithm is ineffective. In this paper, a model is
proposed wh... | [
{
"created": "Sun, 10 Jan 2016 15:01:10 GMT",
"version": "v1"
}
] | 2016-01-12 | [
[
"Mansouri",
"Hamid",
"",
"Machine Vision Lab., Computer Engineering Department,\n Ferdowsi University of Mashhad, Mashhad, Iran"
],
[
"Pourreza",
"Hamid-Reza",
"",
"Machine Vision Lab., Computer Engineering Department, Ferdowsi University of\n Mashhad, Mashhad, Iran"
]
] | With increasing usage of fingerprints as an important biometric data, the need to compress the large fingerprint databases has become essential. The most recommended compression algorithm, even by standards, is JPEG2K. But at high compression rates, this algorithm is ineffective. In this paper, a model is proposed whic... |
2009.09312 | Riccardo Marin | Riccardo Marin, Simone Melzi, Emanuele Rodol\`a, Umberto Castellani | High-Resolution Augmentation for Automatic Template-Based Matching of
Human Models | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new approach for 3D shape matching of deformable human shapes.
Our approach is based on the joint adoption of three different tools: an
intrinsic spectral matching pipeline, a morphable model, and an extrinsic
details refinement. By operating in conjunction, these tools allow us to
greatly improve the qu... | [
{
"created": "Sat, 19 Sep 2020 22:41:24 GMT",
"version": "v1"
}
] | 2020-09-22 | [
[
"Marin",
"Riccardo",
""
],
[
"Melzi",
"Simone",
""
],
[
"Rodolà",
"Emanuele",
""
],
[
"Castellani",
"Umberto",
""
]
] | We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on the joint adoption of three different tools: an intrinsic spectral matching pipeline, a morphable model, and an extrinsic details refinement. By operating in conjunction, these tools allow us to greatly improve the qual... |
2006.14279 | Erion \c{C}ano | Erion \c{C}ano, Riccardo Coppola, Eleonora Gargiulo, Marco Marengo,
Maurizio Morisio | Mood-based On-Car Music Recommendations | 11 pages, 5 figures. Published in proceedings of INISCOM 2016, the
2nd International Conference on Industrial Networks and Intelligent Systems,
Leicester, UK | null | 10.1007/978-3-319-52569-3_14 | null | cs.HC cs.IR cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Driving and music listening are two inseparable everyday activities for
millions of people today in the world. Considering the high correlation between
music, mood and driving comfort and safety, it makes sense to use appropriate
and intelligent music recommendations based on the mood of drivers and songs in
the cont... | [
{
"created": "Thu, 25 Jun 2020 09:50:26 GMT",
"version": "v1"
}
] | 2020-06-26 | [
[
"Çano",
"Erion",
""
],
[
"Coppola",
"Riccardo",
""
],
[
"Gargiulo",
"Eleonora",
""
],
[
"Marengo",
"Marco",
""
],
[
"Morisio",
"Maurizio",
""
]
] | Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent music recommendations based on the mood of drivers and songs in the contex... |
2209.08724 | Ryota Iijima | Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya | On the Adversarial Transferability of ConvMixer Models | 5 pages, 5 figures, 5 tables. arXiv admin note: substantial text
overlap with arXiv:2209.02997 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) are well known to be vulnerable to adversarial
examples (AEs). In addition, AEs have adversarial transferability, which means
AEs generated for a source model can fool another black-box model (target
model) with a non-trivial probability. In this paper, we investigate the
property of adver... | [
{
"created": "Mon, 19 Sep 2022 02:51:01 GMT",
"version": "v1"
}
] | 2022-09-20 | [
[
"Iijima",
"Ryota",
""
],
[
"Tanaka",
"Miki",
""
],
[
"Echizen",
"Isao",
""
],
[
"Kiya",
"Hitoshi",
""
]
] | Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source model can fool another black-box model (target model) with a non-trivial probability. In this paper, we investigate the property of adversa... |
1904.05488 | Sean Tao | Sean Tao | Deep Neural Network Ensembles | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current deep neural networks suffer from two problems; first, they are hard
to interpret, and second, they suffer from overfitting. There have been many
attempts to define interpretability in neural networks, but they typically lack
causality or generality. A myriad of regularization techniques have been
developed to... | [
{
"created": "Thu, 11 Apr 2019 00:52:47 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2019 20:48:02 GMT",
"version": "v2"
}
] | 2019-08-15 | [
[
"Tao",
"Sean",
""
]
] | Current deep neural networks suffer from two problems; first, they are hard to interpret, and second, they suffer from overfitting. There have been many attempts to define interpretability in neural networks, but they typically lack causality or generality. A myriad of regularization techniques have been developed to p... |
1702.05752 | K. V. Krishna | Gayatri Panicker, K. V. Krishna and Purandar Bhaduri | Axiomatization of if-then-else over monoids of possibly non-halting
programs and tests | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to study the axiomatization of the if-then-else construct over
possibly non-halting programs and tests, the notion of $C$-sets was introduced
in the literature by considering the tests from an abstract $C$-algebra. This
paper extends the notion of $C$-sets to $C$-monoids which include the
composition of prog... | [
{
"created": "Sun, 19 Feb 2017 14:13:03 GMT",
"version": "v1"
}
] | 2017-02-21 | [
[
"Panicker",
"Gayatri",
""
],
[
"Krishna",
"K. V.",
""
],
[
"Bhaduri",
"Purandar",
""
]
] | In order to study the axiomatization of the if-then-else construct over possibly non-halting programs and tests, the notion of $C$-sets was introduced in the literature by considering the tests from an abstract $C$-algebra. This paper extends the notion of $C$-sets to $C$-monoids which include the composition of progra... |
2212.13924 | Sven Najem-Meyer | Najem-Meyer Sven, Romanello Matteo | Page Layout Analysis of Text-heavy Historical Documents: a Comparison of
Textual and Visual Approaches | Same as https://ceur-ws.org/Vol-3290/long_paper8670.pdf | Proceedings of the Computational Humanities Research Conference
2022 | null | null | cs.IR cs.AI cs.CL cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Page layout analysis is a fundamental step in document processing which
enables to segment a page into regions of interest. With highly complex layouts
and mixed scripts, scholarly commentaries are text-heavy documents which remain
challenging for state-of-the-art models. Their layout considerably varies
across editi... | [
{
"created": "Mon, 12 Dec 2022 10:10:29 GMT",
"version": "v1"
}
] | 2022-12-29 | [
[
"Sven",
"Najem-Meyer",
""
],
[
"Matteo",
"Romanello",
""
]
] | Page layout analysis is a fundamental step in document processing which enables to segment a page into regions of interest. With highly complex layouts and mixed scripts, scholarly commentaries are text-heavy documents which remain challenging for state-of-the-art models. Their layout considerably varies across edition... |
2401.09281 | Andr\'e Miguel Romeiro Faria Lopes | Andr\'e Lopes (1), Daniel Castro (1), Paolo Romano (1) ((1) INESC-ID &
Instituto Superior T\'ecnico - Universidade de Lisboa) | PIM-STM: Software Transactional Memory for Processing-In-Memory Systems | To be published in 29th ACM International Conference on Architectural
Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS
'24), April 27-May 1, 2024, La Jolla, CA, USA | null | 10.1145/3620665.3640428 | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Processing-In-Memory (PIM) is a novel approach that augments existing DRAM
memory chips with lightweight logic. By allowing to offload computations to the
PIM system, this architecture allows for circumventing the data-bottleneck
problem that affects many modern workloads. This work tackles the problem of
how to buil... | [
{
"created": "Wed, 17 Jan 2024 15:35:58 GMT",
"version": "v1"
}
] | 2024-01-18 | [
[
"Lopes",
"André",
""
],
[
"Castro",
"Daniel",
""
],
[
"Romano",
"Paolo",
""
]
] | Processing-In-Memory (PIM) is a novel approach that augments existing DRAM memory chips with lightweight logic. By allowing to offload computations to the PIM system, this architecture allows for circumventing the data-bottleneck problem that affects many modern workloads. This work tackles the problem of how to build ... |
2306.01404 | Federico Quin | Federico Quin, Danny Weyns, Omid Gheibi | Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine
Learning | null | null | 10.1016/j.jss.2022.111341 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern software systems often have to cope with uncertain operation
conditions, such as changing workloads or fluctuating interference in a
wireless network. To ensure that these systems meet their goals these
uncertainties have to be mitigated. One approach to realize this is
self-adaptation that equips a system wit... | [
{
"created": "Fri, 2 Jun 2023 09:49:33 GMT",
"version": "v1"
}
] | 2023-06-05 | [
[
"Quin",
"Federico",
""
],
[
"Weyns",
"Danny",
""
],
[
"Gheibi",
"Omid",
""
]
] | Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One approach to realize this is self-adaptation that equips a system with ... |
2305.15489 | Bader Abu Radi | Bader Abu Radi and Orna Kupferman | On Semantically-Deterministic Automata | 29 pages, 4 figures | null | null | null | cs.FL | http://creativecommons.org/licenses/by/4.0/ | A nondeterministic automaton is semantically deterministic (SD) if different
nondeterministic choices in the automaton lead to equivalent states. Semantic
determinism is interesting as it is a natural relaxation of determinism, and as
some applications of deterministic automata in formal methods can actually use
auto... | [
{
"created": "Wed, 24 May 2023 18:21:31 GMT",
"version": "v1"
}
] | 2023-05-26 | [
[
"Radi",
"Bader Abu",
""
],
[
"Kupferman",
"Orna",
""
]
] | A nondeterministic automaton is semantically deterministic (SD) if different nondeterministic choices in the automaton lead to equivalent states. Semantic determinism is interesting as it is a natural relaxation of determinism, and as some applications of deterministic automata in formal methods can actually use automa... |
2405.12958 | Nikos Zarifis | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis | Online Learning of Halfspaces with Massart Noise | null | null | null | null | cs.LG cs.DS math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the task of online learning in the presence of Massart noise.
Instead of assuming that the online adversary chooses an arbitrary sequence of
labels, we assume that the context $\mathbf{x}$ is selected adversarially but
the label $y$ presented to the learner disagrees with the ground-truth label of
$\mathbf{x... | [
{
"created": "Tue, 21 May 2024 17:31:10 GMT",
"version": "v1"
}
] | 2024-05-22 | [
[
"Diakonikolas",
"Ilias",
""
],
[
"Kontonis",
"Vasilis",
""
],
[
"Tzamos",
"Christos",
""
],
[
"Zarifis",
"Nikos",
""
]
] | We study the task of online learning in the presence of Massart noise. Instead of assuming that the online adversary chooses an arbitrary sequence of labels, we assume that the context $\mathbf{x}$ is selected adversarially but the label $y$ presented to the learner disagrees with the ground-truth label of $\mathbf{x}$... |
1603.08776 | Nikolaus Hansen | Nikolaus Hansen (Inria), Tea Tusar (Inria), Olaf Mersmann, Anne Auger
(Inria), Dimo Brockhoff (Inria) | COCO: The Experimental Procedure | ArXiv e-prints, arXiv:1603.08776 | null | null | null | cs.AI cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a budget-free experimental setup and procedure for benchmarking
numericaloptimization algorithms in a black-box scenario. This procedure can be
applied with the COCO benchmarking platform. We describe initialization of and
input to the algorithm and touch upon therelevance of termination and restarts.
| [
{
"created": "Tue, 29 Mar 2016 14:10:14 GMT",
"version": "v1"
},
{
"created": "Thu, 19 May 2016 11:58:22 GMT",
"version": "v2"
}
] | 2016-05-20 | [
[
"Hansen",
"Nikolaus",
"",
"Inria"
],
[
"Tusar",
"Tea",
"",
"Inria"
],
[
"Mersmann",
"Olaf",
"",
"Inria"
],
[
"Auger",
"Anne",
"",
"Inria"
],
[
"Brockhoff",
"Dimo",
"",
"Inria"
]
] | We present a budget-free experimental setup and procedure for benchmarking numericaloptimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform. We describe initialization of and input to the algorithm and touch upon therelevance of termination and restarts. |
1705.07511 | Yu-Ting Wang | Yu-Ting Wang, Jun Li, Rong Zheng, Dongmei Zhao | ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile
Devices | 8 pages, 13 figures | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Acoustic ranging based indoor positioning solutions have the advantage of
higher ranging accuracy and better compatibility with commercial-off-the-self
consumer devices. However, similar to other time-domain based approaches using
Time-of-Arrival and Time-Difference-of-Arrival, they suffer from performance
degradatio... | [
{
"created": "Sun, 21 May 2017 21:35:06 GMT",
"version": "v1"
}
] | 2017-05-23 | [
[
"Wang",
"Yu-Ting",
""
],
[
"Li",
"Jun",
""
],
[
"Zheng",
"Rong",
""
],
[
"Zhao",
"Dongmei",
""
]
] | Acoustic ranging based indoor positioning solutions have the advantage of higher ranging accuracy and better compatibility with commercial-off-the-self consumer devices. However, similar to other time-domain based approaches using Time-of-Arrival and Time-Difference-of-Arrival, they suffer from performance degradation ... |
1803.05494 | Shubhra Aich | Shubhra Aich and Ian Stavness | Improving Object Counting with Heatmap Regulation | Code repository: https://github.com/littleaich/heatmap-regulation | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a simple and effective way to improve one-look
regression models for object counting from images. We use class activation map
visualizations to illustrate the drawbacks of learning a pure one-look
regression model for a counting task. Based on these insights, we enhance
one-look regression c... | [
{
"created": "Wed, 14 Mar 2018 19:52:43 GMT",
"version": "v1"
},
{
"created": "Wed, 23 May 2018 21:43:47 GMT",
"version": "v2"
}
] | 2018-05-25 | [
[
"Aich",
"Shubhra",
""
],
[
"Stavness",
"Ian",
""
]
] | In this paper, we propose a simple and effective way to improve one-look regression models for object counting from images. We use class activation map visualizations to illustrate the drawbacks of learning a pure one-look regression model for a counting task. Based on these insights, we enhance one-look regression cou... |
2305.03143 | Gaia Saveri | Gaia Saveri and Luca Bortolussi | Towards Invertible Semantic-Preserving Embeddings of Logical Formulae | null | null | null | null | cs.AI cs.LG cs.LO | http://creativecommons.org/licenses/by/4.0/ | Logic is the main formal language to perform automated reasoning, and it is
further a human-interpretable language, at least for small formulae. Learning
and optimising logic requirements and rules has always been an important
problem in Artificial Intelligence. State of the art Machine Learning (ML)
approaches are m... | [
{
"created": "Wed, 3 May 2023 10:49:01 GMT",
"version": "v1"
}
] | 2023-05-08 | [
[
"Saveri",
"Gaia",
""
],
[
"Bortolussi",
"Luca",
""
]
] | Logic is the main formal language to perform automated reasoning, and it is further a human-interpretable language, at least for small formulae. Learning and optimising logic requirements and rules has always been an important problem in Artificial Intelligence. State of the art Machine Learning (ML) approaches are mos... |
2403.10194 | Sebastian Krebs | Sebastian Krebs and Tom Herter | Ultra-Wideband Positioning System Based on ESP32 and DWM3000 Modules | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, an Ultra-Wideband (UWB) positioning system is introduced, that
leverages six identical custom-designed boards, each featuring an ESP32
microcontroller and a DWM3000 module from Quorvo. The system is capable of
achieving localization with an accuracy of up to 10 cm, by utilizing
Two-Way-Ranging (TWR) me... | [
{
"created": "Fri, 15 Mar 2024 10:57:09 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Krebs",
"Sebastian",
""
],
[
"Herter",
"Tom",
""
]
] | In this paper, an Ultra-Wideband (UWB) positioning system is introduced, that leverages six identical custom-designed boards, each featuring an ESP32 microcontroller and a DWM3000 module from Quorvo. The system is capable of achieving localization with an accuracy of up to 10 cm, by utilizing Two-Way-Ranging (TWR) meas... |
2307.13958 | Zitong Yu | Zitong Yu, Rizhao Cai, Yawen Cui, Ajian Liu and Changsheng Chen | Visual Prompt Flexible-Modal Face Anti-Spoofing | arXiv admin note: text overlap with arXiv:2303.03369 by other authors | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, vision transformer based multimodal learning methods have been
proposed to improve the robustness of face anti-spoofing (FAS) systems.
However, multimodal face data collected from the real world is often imperfect
due to missing modalities from various imaging sensors. Recently,
flexible-modal FAS~\cite{yu2... | [
{
"created": "Wed, 26 Jul 2023 05:06:41 GMT",
"version": "v1"
}
] | 2023-07-27 | [
[
"Yu",
"Zitong",
""
],
[
"Cai",
"Rizhao",
""
],
[
"Cui",
"Yawen",
""
],
[
"Liu",
"Ajian",
""
],
[
"Chen",
"Changsheng",
""
]
] | Recently, vision transformer based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, multimodal face data collected from the real world is often imperfect due to missing modalities from various imaging sensors. Recently, flexible-modal FAS~\cite{yu202... |
1805.08695 | Panagiotis Mousouliotis | Panagiotis G. Mousouliotis, Loukas P. Petrou | SqueezeJet: High-level Synthesis Accelerator Design for Deep
Convolutional Neural Networks | The final publication is available at Springer via
https://doi.org/10.1007/978-3-319-78890-6_5 | null | 10.1007/978-3-319-78890-6_5 | null | cs.CV cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep convolutional neural networks have dominated the pattern recognition
scene by providing much more accurate solutions in computer vision problems
such as object recognition and object detection. Most of these solutions come
at a huge computational cost, requiring billions of multiply-accumulate
operations and, th... | [
{
"created": "Sun, 6 May 2018 21:56:33 GMT",
"version": "v1"
}
] | 2018-11-27 | [
[
"Mousouliotis",
"Panagiotis G.",
""
],
[
"Petrou",
"Loukas P.",
""
]
] | Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition and object detection. Most of these solutions come at a huge computational cost, requiring billions of multiply-accumulate operations and, thus... |
2101.12591 | Carlo A. Furia | Carlo A. Furia, Richard Torkar, Robert Feldt | Applying Bayesian Analysis Guidelines to Empirical Software Engineering
Data: The Case of Programming Languages and Code Quality | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Statistical analysis is the tool of choice to turn data into information, and
then information into empirical knowledge. To be valid, the process that goes
from data to knowledge should be supported by detailed, rigorous guidelines,
which help ferret out issues with the data or model, and lead to qualified
results th... | [
{
"created": "Fri, 29 Jan 2021 14:00:18 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jul 2021 11:59:17 GMT",
"version": "v2"
}
] | 2021-07-29 | [
[
"Furia",
"Carlo A.",
""
],
[
"Torkar",
"Richard",
""
],
[
"Feldt",
"Robert",
""
]
] | Statistical analysis is the tool of choice to turn data into information, and then information into empirical knowledge. To be valid, the process that goes from data to knowledge should be supported by detailed, rigorous guidelines, which help ferret out issues with the data or model, and lead to qualified results that... |
2212.14126 | Justus Fasse | Justus Fasse and Bart Jacobs | Modular termination verification with a higher-order concurrent
separation logic (Intermediate report) | null | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | We report on intermediate results of our research on reasoning about liveness
properties in addition to deep correctness properties for an imperative,
concurrent programming language with a higher-order store. At present, we focus
on one particular liveness property, namely termination. By guaranteeing
termination we... | [
{
"created": "Wed, 28 Dec 2022 23:50:20 GMT",
"version": "v1"
}
] | 2023-01-02 | [
[
"Fasse",
"Justus",
""
],
[
"Jacobs",
"Bart",
""
]
] | We report on intermediate results of our research on reasoning about liveness properties in addition to deep correctness properties for an imperative, concurrent programming language with a higher-order store. At present, we focus on one particular liveness property, namely termination. By guaranteeing termination we c... |
2406.14294 | Pooneh Mousavi | Pooneh Mousavi, Luca Della Libera, Jarod Duret, Artem Ploujnikov, Cem
Subakan, Mirco Ravanelli | DASB - Discrete Audio and Speech Benchmark | 9 pages, 5 tables | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | Discrete audio tokens have recently gained considerable attention for their
potential to connect audio and language processing, enabling the creation of
modern multimodal large language models. Ideal audio tokens must effectively
preserve phonetic and semantic content along with paralinguistic information,
speaker id... | [
{
"created": "Thu, 20 Jun 2024 13:23:27 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Jun 2024 17:07:17 GMT",
"version": "v2"
}
] | 2024-06-25 | [
[
"Mousavi",
"Pooneh",
""
],
[
"Della Libera",
"Luca",
""
],
[
"Duret",
"Jarod",
""
],
[
"Ploujnikov",
"Artem",
""
],
[
"Subakan",
"Cem",
""
],
[
"Ravanelli",
"Mirco",
""
]
] | Discrete audio tokens have recently gained considerable attention for their potential to connect audio and language processing, enabling the creation of modern multimodal large language models. Ideal audio tokens must effectively preserve phonetic and semantic content along with paralinguistic information, speaker iden... |
1710.07535 | Raphael Gontijo Lopes | Raphael Gontijo Lopes, Stefano Fenu, Thad Starner | Data-Free Knowledge Distillation for Deep Neural Networks | Accepted to NIPS 2017 Workshop on Learning with Limited Data. Under
review at AISTATS 2018 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in model compression have provided procedures for compressing
large neural networks to a fraction of their original size while retaining most
if not all of their accuracy. However, all of these approaches rely on access
to the original training set, which might not always be possible if the network
to... | [
{
"created": "Thu, 19 Oct 2017 16:04:05 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Nov 2017 16:28:48 GMT",
"version": "v2"
}
] | 2017-11-27 | [
[
"Lopes",
"Raphael Gontijo",
""
],
[
"Fenu",
"Stefano",
""
],
[
"Starner",
"Thad",
""
]
] | Recent advances in model compression have provided procedures for compressing large neural networks to a fraction of their original size while retaining most if not all of their accuracy. However, all of these approaches rely on access to the original training set, which might not always be possible if the network to b... |
1805.09423 | Mart\'in Farach-Colton | Alex Conway, Martin Farach-Colton, Philip Shilane | Optimal Hashing in External Memory | null | null | null | null | cs.DS | http://creativecommons.org/publicdomain/zero/1.0/ | Hash tables are a ubiquitous class of dictionary data structures. However,
standard hash table implementations do not translate well into the external
memory model, because they do not incorporate locality for insertions.
Iacono and Patracsu established an update/query tradeoff curve for external
hash tables: a has... | [
{
"created": "Wed, 23 May 2018 21:00:47 GMT",
"version": "v1"
}
] | 2018-05-25 | [
[
"Conway",
"Alex",
""
],
[
"Farach-Colton",
"Martin",
""
],
[
"Shilane",
"Philip",
""
]
] | Hash tables are a ubiquitous class of dictionary data structures. However, standard hash table implementations do not translate well into the external memory model, because they do not incorporate locality for insertions. Iacono and Patracsu established an update/query tradeoff curve for external hash tables: a hash ta... |
1711.06238 | Rajarshee Mitra | Rajarshee Mitra | A Generative Approach to Question Answering | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Question Answering has come a long way from answer sentence selection,
relational QA to reading and comprehension. We shift our attention to
generative question answering (gQA) by which we facilitate machine to read
passages and answer questions by learning to generate the answers. We frame the
problem as a generativ... | [
{
"created": "Thu, 16 Nov 2017 18:34:16 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Jul 2018 13:37:40 GMT",
"version": "v2"
}
] | 2018-07-10 | [
[
"Mitra",
"Rajarshee",
""
]
] | Question Answering has come a long way from answer sentence selection, relational QA to reading and comprehension. We shift our attention to generative question answering (gQA) by which we facilitate machine to read passages and answer questions by learning to generate the answers. We frame the problem as a generative ... |
1708.01643 | Adebayo Omotosho Dr | Adebayo Omotosho, Justice Emuoyibofarhe, Christoph Meinel | Ensuring patients privacy in a cryptographic-based-electronic health
records using bio-cryptography | null | International Journal of Electronic Healthcare (IJEH), Vol. 9, No.
4, pp.227 - 254 (2017) | 10.1504/IJEH.2017.10003030 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several recent works have proposed and implemented cryptography as a means to
preserve privacy and security of patients health data. Nevertheless, the
weakest point of electronic health record (EHR) systems that relied on these
cryptographic schemes is key management. Thus, this paper presents the
development of priv... | [
{
"created": "Wed, 26 Jul 2017 22:11:23 GMT",
"version": "v1"
}
] | 2017-08-09 | [
[
"Omotosho",
"Adebayo",
""
],
[
"Emuoyibofarhe",
"Justice",
""
],
[
"Meinel",
"Christoph",
""
]
] | Several recent works have proposed and implemented cryptography as a means to preserve privacy and security of patients health data. Nevertheless, the weakest point of electronic health record (EHR) systems that relied on these cryptographic schemes is key management. Thus, this paper presents the development of privac... |
2309.03220 | Louis Rosenberg PhD | Louis Rosenberg, Gregg Willcox, Hans Schumann, Miles Bader, Ganesh
Mani, Kokoro Sagae, Devang Acharya, Yuxin Zheng, Andrew Kim, Jialing Deng | Conversational Swarm Intelligence, a Pilot Study | Pending for conference, Collective Intelligence 2023 (ACM) | null | null | null | cs.HC cs.NE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Conversational Swarm Intelligence (CSI) is a new method for enabling large
human groups to hold real-time networked conversations using a technique
modeled on the dynamics of biological swarms. Through the novel use of
conversational agents powered by Large Language Models (LLMs), the CSI
structure simultaneously ena... | [
{
"created": "Thu, 31 Aug 2023 17:51:02 GMT",
"version": "v1"
}
] | 2023-09-08 | [
[
"Rosenberg",
"Louis",
""
],
[
"Willcox",
"Gregg",
""
],
[
"Schumann",
"Hans",
""
],
[
"Bader",
"Miles",
""
],
[
"Mani",
"Ganesh",
""
],
[
"Sagae",
"Kokoro",
""
],
[
"Acharya",
"Devang",
""
],
[
"Zhe... | Conversational Swarm Intelligence (CSI) is a new method for enabling large human groups to hold real-time networked conversations using a technique modeled on the dynamics of biological swarms. Through the novel use of conversational agents powered by Large Language Models (LLMs), the CSI structure simultaneously enabl... |
1507.08717 | EPTCS | Christoph Benzm\"uller (Freie Universit\"at Berlin, Germany),
Maximilian Claus (Freie Universit\"at Berlin, Germany), Nik Sultana
(Cambridge University, UK) | Systematic Verification of the Modal Logic Cube in Isabelle/HOL | In Proceedings PxTP 2015, arXiv:1507.08375 | EPTCS 186, 2015, pp. 27-41 | 10.4204/EPTCS.186.5 | null | cs.LO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an automated verification of the well-known modal logic cube in
Isabelle/HOL, in which we prove the inclusion relations between the cube's
logics using automated reasoning tools. Prior work addresses this problem but
without restriction to the modal logic cube, and using encodings in first-order
logic in c... | [
{
"created": "Fri, 31 Jul 2015 00:58:44 GMT",
"version": "v1"
}
] | 2015-08-03 | [
[
"Benzmüller",
"Christoph",
"",
"Freie Universität Berlin, Germany"
],
[
"Claus",
"Maximilian",
"",
"Freie Universität Berlin, Germany"
],
[
"Sultana",
"Nik",
"",
"Cambridge University, UK"
]
] | We present an automated verification of the well-known modal logic cube in Isabelle/HOL, in which we prove the inclusion relations between the cube's logics using automated reasoning tools. Prior work addresses this problem but without restriction to the modal logic cube, and using encodings in first-order logic in com... |
cs/0508059 | Arindam Mitra | Arindam Mitra | Honesty can be the best policy within quantum mechanics | One of the referees (Phys. Rev. Lett.) observed that manuscript "
deserves to be widely read and analyzed". Acknowledgement is due | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Honesty has never been scientifically proved to be the best policy in any
case. It is pointed out that only honest person can prevent his dishonest
partner to bias the outcome of quantum coin tossing.
| [
{
"created": "Thu, 11 Aug 2005 15:59:46 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jul 2006 15:34:40 GMT",
"version": "v10"
},
{
"created": "Tue, 17 Oct 2006 15:34:35 GMT",
"version": "v11"
},
{
"created": "Thu, 16 Nov 2006 15:33:52 GMT",
"version": "v12"
},
{
... | 2008-12-27 | [
[
"Mitra",
"Arindam",
""
]
] | Honesty has never been scientifically proved to be the best policy in any case. It is pointed out that only honest person can prevent his dishonest partner to bias the outcome of quantum coin tossing. |
2305.13841 | Juan Montes | Juan Montes Maestre, Yinwei Du, Ronan Hinchet, Stelian Coros, Bernhard
Thomaszewski | Differentiable Stripe Patterns for Inverse Design of Structured Surfaces | 14 pages | null | 10.1145/3592114 | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stripe patterns are ubiquitous in nature and everyday life. While the
synthesis of these patterns has been thoroughly studied in the literature,
their potential to control the mechanics of structured materials remains
largely unexplored. In this work, we introduce Differentiable Stripe Patterns
-- a computational app... | [
{
"created": "Tue, 23 May 2023 09:05:36 GMT",
"version": "v1"
}
] | 2023-05-24 | [
[
"Maestre",
"Juan Montes",
""
],
[
"Du",
"Yinwei",
""
],
[
"Hinchet",
"Ronan",
""
],
[
"Coros",
"Stelian",
""
],
[
"Thomaszewski",
"Bernhard",
""
]
] | Stripe patterns are ubiquitous in nature and everyday life. While the synthesis of these patterns has been thoroughly studied in the literature, their potential to control the mechanics of structured materials remains largely unexplored. In this work, we introduce Differentiable Stripe Patterns -- a computational appro... |
2211.09155 | Lele Fu | Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping
Wang | Learnable Graph Convolutional Network and Feature Fusion for Multi-view
Learning | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In practical applications, multi-view data depicting objectives from assorted
perspectives can facilitate the accuracy increase of learning algorithms.
However, given multi-view data, there is limited work for learning
discriminative node relationships and graph information simultaneously via
graph convolutional netw... | [
{
"created": "Wed, 16 Nov 2022 19:07:12 GMT",
"version": "v1"
}
] | 2022-11-18 | [
[
"Chen",
"Zhaoliang",
""
],
[
"Fu",
"Lele",
""
],
[
"Yao",
"Jie",
""
],
[
"Guo",
"Wenzhong",
""
],
[
"Plant",
"Claudia",
""
],
[
"Wang",
"Shiping",
""
]
] | In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view data, there is limited work for learning discriminative node relationships and graph information simultaneously via graph convolutional networ... |
2208.01462 | Hao Sun | Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao
Sun | Physics-informed Deep Super-resolution for Spatiotemporal Data | null | null | null | null | cs.LG physics.comp-ph physics.data-an | http://creativecommons.org/licenses/by/4.0/ | High-fidelity simulation of complex physical systems is exorbitantly
expensive and inaccessible across spatiotemporal scales. Recently, there has
been an increasing interest in leveraging deep learning to augment scientific
data based on the coarse-grained simulations, which is of cheap computational
expense and reta... | [
{
"created": "Tue, 2 Aug 2022 13:57:35 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Ren",
"Pu",
""
],
[
"Rao",
"Chengping",
""
],
[
"Liu",
"Yang",
""
],
[
"Ma",
"Zihan",
""
],
[
"Wang",
"Qi",
""
],
[
"Wang",
"Jian-Xun",
""
],
[
"Sun",
"Hao",
""
]
] | High-fidelity simulation of complex physical systems is exorbitantly expensive and inaccessible across spatiotemporal scales. Recently, there has been an increasing interest in leveraging deep learning to augment scientific data based on the coarse-grained simulations, which is of cheap computational expense and retain... |
2405.16791 | Ming-Min Zhao | Mingxin Chen, Ming-Min Zhao, An Liu, Min Li and Qingjiang Shi | Joint Node Selection and Resource Allocation Optimization for
Cooperative Sensing with a Shared Wireless Backhaul | 13 pages, 10 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider a cooperative sensing framework in the context of
future multi-functional network with both communication and sensing ability,
where one base station (BS) serves as a sensing transmitter and several nearby
BSs serve as sensing receivers. Each receiver receives the sensing signal
reflected b... | [
{
"created": "Mon, 27 May 2024 03:24:53 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Chen",
"Mingxin",
""
],
[
"Zhao",
"Ming-Min",
""
],
[
"Liu",
"An",
""
],
[
"Li",
"Min",
""
],
[
"Shi",
"Qingjiang",
""
]
] | In this paper, we consider a cooperative sensing framework in the context of future multi-functional network with both communication and sensing ability, where one base station (BS) serves as a sensing transmitter and several nearby BSs serve as sensing receivers. Each receiver receives the sensing signal reflected by ... |
1710.03129 | Michael Vierhauser | Giuliano Antoniol and Jane Cleland-Huang and Jane Huffman Hayes and
Michael Vierhauser | Grand Challenges of Traceability: The Next Ten Years | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In 2007, the software and systems traceability community met at the first
Natural Bridge symposium on the Grand Challenges of Traceability to establish
and address research goals for achieving effective, trustworthy, and ubiquitous
traceability. Ten years later, in 2017, the community came together to evaluate
a deca... | [
{
"created": "Mon, 9 Oct 2017 14:54:56 GMT",
"version": "v1"
}
] | 2017-10-10 | [
[
"Antoniol",
"Giuliano",
""
],
[
"Cleland-Huang",
"Jane",
""
],
[
"Hayes",
"Jane Huffman",
""
],
[
"Vierhauser",
"Michael",
""
]
] | In 2007, the software and systems traceability community met at the first Natural Bridge symposium on the Grand Challenges of Traceability to establish and address research goals for achieving effective, trustworthy, and ubiquitous traceability. Ten years later, in 2017, the community came together to evaluate a decade... |
2004.08776 | Gerui Wang | Gerui Wang, Shuo Wang, Vivek Bagaria, David Tse, and Pramod Viswanath | Prism Removes Consensus Bottleneck for Smart Contracts | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The performance of existing permissionless smart contract platforms such as
Ethereum is limited by the consensus layer. Prism is a new proof-of-work
consensus protocol that provably achieves throughput and latency up to physical
limits while retaining the strong guarantees of the longest chain protocol.
This paper re... | [
{
"created": "Sun, 19 Apr 2020 06:13:34 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Jun 2020 03:50:52 GMT",
"version": "v2"
}
] | 2020-06-16 | [
[
"Wang",
"Gerui",
""
],
[
"Wang",
"Shuo",
""
],
[
"Bagaria",
"Vivek",
""
],
[
"Tse",
"David",
""
],
[
"Viswanath",
"Pramod",
""
]
] | The performance of existing permissionless smart contract platforms such as Ethereum is limited by the consensus layer. Prism is a new proof-of-work consensus protocol that provably achieves throughput and latency up to physical limits while retaining the strong guarantees of the longest chain protocol. This paper repo... |
2008.05640 | Liang Pang | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi
Cheng | Ranking Enhanced Dialogue Generation | Accepted at CIKM 2020 | null | 10.1145/3340531.3411918 | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | How to effectively utilize the dialogue history is a crucial problem in
multi-turn dialogue generation. Previous works usually employ various neural
network architectures (e.g., recurrent neural networks, attention mechanisms,
and hierarchical structures) to model the history. However, a recent empirical
study by San... | [
{
"created": "Thu, 13 Aug 2020 01:49:56 GMT",
"version": "v1"
}
] | 2020-08-14 | [
[
"Hao",
"Changying",
""
],
[
"Pang",
"Liang",
""
],
[
"Lan",
"Yanyan",
""
],
[
"Sun",
"Fei",
""
],
[
"Guo",
"Jiafeng",
""
],
[
"Cheng",
"Xueqi",
""
]
] | How to effectively utilize the dialogue history is a crucial problem in multi-turn dialogue generation. Previous works usually employ various neural network architectures (e.g., recurrent neural networks, attention mechanisms, and hierarchical structures) to model the history. However, a recent empirical study by Sanka... |
2203.12384 | Julian Renner | Hannes Bartz, Lukas Holzbaur, Hedongliang Liu, Sven Puchinger, Julian
Renner, Antonia Wachter-Zeh | Rank-Metric Codes and Their Applications | null | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rank metric measures the distance between two matrices by the rank of
their difference. Codes designed for the rank metric have attracted
considerable attention in recent years, reinforced by network coding and
further motivated by a variety of applications. In code-based cryptography, the
hardness of the corresp... | [
{
"created": "Wed, 23 Mar 2022 13:01:23 GMT",
"version": "v1"
}
] | 2022-03-24 | [
[
"Bartz",
"Hannes",
""
],
[
"Holzbaur",
"Lukas",
""
],
[
"Liu",
"Hedongliang",
""
],
[
"Puchinger",
"Sven",
""
],
[
"Renner",
"Julian",
""
],
[
"Wachter-Zeh",
"Antonia",
""
]
] | The rank metric measures the distance between two matrices by the rank of their difference. Codes designed for the rank metric have attracted considerable attention in recent years, reinforced by network coding and further motivated by a variety of applications. In code-based cryptography, the hardness of the correspon... |
2108.09476 | Tianyu Wu | Tianyu Wu, Konrad Schindler and Cenek Albl | 3D Reconstruction from public webcams | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the possibility of 3D scene reconstruction from two or more
overlapping webcam streams. A large, and growing, number of webcams observe
places of interest and are publicly accessible. The question naturally arises:
can we make use of this free data source for 3D computer vision? It turns out
that the t... | [
{
"created": "Sat, 21 Aug 2021 09:31:13 GMT",
"version": "v1"
},
{
"created": "Sat, 11 Dec 2021 10:58:20 GMT",
"version": "v2"
}
] | 2021-12-14 | [
[
"Wu",
"Tianyu",
""
],
[
"Schindler",
"Konrad",
""
],
[
"Albl",
"Cenek",
""
]
] | We investigate the possibility of 3D scene reconstruction from two or more overlapping webcam streams. A large, and growing, number of webcams observe places of interest and are publicly accessible. The question naturally arises: can we make use of this free data source for 3D computer vision? It turns out that the tas... |
2202.09318 | Vishvak Murahari | Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan | DataMUX: Data Multiplexing for Neural Networks | NeurIPS 2022 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, we introduce data multiplexing (DataMUX), a technique that
enables deep neural networks to process multiple inputs simultaneously using a
single compact representation. DataMUX demonstrates that neural networks are
capable of generating accurate predictions over mixtures of inputs, resulting
in increas... | [
{
"created": "Fri, 18 Feb 2022 17:35:33 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Nov 2022 15:15:50 GMT",
"version": "v2"
}
] | 2022-11-15 | [
[
"Murahari",
"Vishvak",
""
],
[
"Jimenez",
"Carlos E.",
""
],
[
"Yang",
"Runzhe",
""
],
[
"Narasimhan",
"Karthik",
""
]
] | In this paper, we introduce data multiplexing (DataMUX), a technique that enables deep neural networks to process multiple inputs simultaneously using a single compact representation. DataMUX demonstrates that neural networks are capable of generating accurate predictions over mixtures of inputs, resulting in increased... |
2403.12071 | Kostas Karpouzis | Kostas Karpouzis, Dimitris Pantazatos, Joanna Taouki, Kalliopi Meli | Tailoring Education with GenAI: A New Horizon in Lesson Planning | Abstract accepted for EDUCON 2024 (IEEE Global Engineering Education
Conference 2024) | null | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The advent of Generative AI (GenAI) in education presents a transformative
approach to traditional teaching methodologies, which often overlook the
diverse needs of individual students. This study introduces a GenAI tool, based
on advanced natural language processing, designed as a digital assistant for
educators, en... | [
{
"created": "Mon, 12 Feb 2024 17:30:05 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Karpouzis",
"Kostas",
""
],
[
"Pantazatos",
"Dimitris",
""
],
[
"Taouki",
"Joanna",
""
],
[
"Meli",
"Kalliopi",
""
]
] | The advent of Generative AI (GenAI) in education presents a transformative approach to traditional teaching methodologies, which often overlook the diverse needs of individual students. This study introduces a GenAI tool, based on advanced natural language processing, designed as a digital assistant for educators, enab... |
1709.05652 | Nidhish Raj Mr. | Nidhish Raj, Ravi N Banavar, Abhishek, Mangal Kothari | Robust Attitude Tracking for Aerobatic Helicopters: A Geometric Approach | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper highlights the significance of the rotor dynamics in control
design for small-scale aerobatic helicopters, and proposes two singularity free
robust attitude tracking controllers based on the available states for
feedback. 1. The first, employs the angular velocity and the flap angle states
(a variable that... | [
{
"created": "Sun, 17 Sep 2017 12:33:56 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Jan 2019 06:19:42 GMT",
"version": "v2"
}
] | 2019-01-10 | [
[
"Raj",
"Nidhish",
""
],
[
"Banavar",
"Ravi N",
""
],
[
"Abhishek",
"",
""
],
[
"Kothari",
"Mangal",
""
]
] | This paper highlights the significance of the rotor dynamics in control design for small-scale aerobatic helicopters, and proposes two singularity free robust attitude tracking controllers based on the available states for feedback. 1. The first, employs the angular velocity and the flap angle states (a variable that i... |
1502.01095 | Nirmala Suresh | A.P. Nirmala, Dr. R. Sridaran | A Novel architecture for improving performance under virtualized
environments | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Even though virtualization provides a lot of advantages in cloud computing,
it does not provide effective performance isolation between the virtualization
machines. In other words, the performance may get affected due the
interferences caused by co-virtual machines. This can be achieved by the proper
management of re... | [
{
"created": "Wed, 4 Feb 2015 05:21:30 GMT",
"version": "v1"
}
] | 2015-02-05 | [
[
"Nirmala",
"A. P.",
""
],
[
"Sridaran",
"Dr. R.",
""
]
] | Even though virtualization provides a lot of advantages in cloud computing, it does not provide effective performance isolation between the virtualization machines. In other words, the performance may get affected due the interferences caused by co-virtual machines. This can be achieved by the proper management of reso... |
1812.00541 | Zhiyuan Jiang | Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch, Rath Vannithamby, Sheng
Zhou, Zhisheng Niu | Exploiting Wireless Channel State Information Structures Beyond Linear
Correlations: A Deep Learning Approach | To appear in IEEE Commun. Mag. SI on Applications of Artificial
Intelligence in Wireless Communications | null | null | null | cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge of information about the propagation channel in which a wireless
system operates enables better, more efficient approaches for signal
transmissions. Therefore, channel state information (CSI) plays a pivotal role
in the system performance. The importance of CSI is in fact growing in the
upcoming 5G and beyo... | [
{
"created": "Mon, 3 Dec 2018 03:38:20 GMT",
"version": "v1"
}
] | 2018-12-04 | [
[
"Jiang",
"Zhiyuan",
""
],
[
"Chen",
"Sheng",
""
],
[
"Molisch",
"Andreas F.",
""
],
[
"Vannithamby",
"Rath",
""
],
[
"Zhou",
"Sheng",
""
],
[
"Niu",
"Zhisheng",
""
]
] | Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions. Therefore, channel state information (CSI) plays a pivotal role in the system performance. The importance of CSI is in fact growing in the upcoming 5G and beyond... |
2311.06102 | Lefteris Loukas | Lefteris Loukas, Ilias Stogiannidis, Odysseas Diamantopoulos,
Prodromos Malakasiotis, Stavros Vassos | Making LLMs Worth Every Penny: Resource-Limited Text Classification in
Banking | Long paper accepted to ACM ICAIF-23 | null | 10.1145/3604237.3626891 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Standard Full-Data classifiers in NLP demand thousands of labeled examples,
which is impractical in data-limited domains. Few-shot methods offer an
alternative, utilizing contrastive learning techniques that can be effective
with as little as 20 examples per class. Similarly, Large Language Models
(LLMs) like GPT-4 c... | [
{
"created": "Fri, 10 Nov 2023 15:10:36 GMT",
"version": "v1"
}
] | 2023-11-13 | [
[
"Loukas",
"Lefteris",
""
],
[
"Stogiannidis",
"Ilias",
""
],
[
"Diamantopoulos",
"Odysseas",
""
],
[
"Malakasiotis",
"Prodromos",
""
],
[
"Vassos",
"Stavros",
""
]
] | Standard Full-Data classifiers in NLP demand thousands of labeled examples, which is impractical in data-limited domains. Few-shot methods offer an alternative, utilizing contrastive learning techniques that can be effective with as little as 20 examples per class. Similarly, Large Language Models (LLMs) like GPT-4 can... |
2205.06177 | Zeinab Zoghi | Zeinab Zoghi, Gursel Serpen | Ensemble Classifier Design Tuned to Dataset Characteristics for Network
Intrusion Detection | null | null | null | null | cs.CR cs.AI cs.DB cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine Learning-based supervised approaches require highly customized and
fine-tuned methodologies to deliver outstanding performance. This paper
presents a dataset-driven design and performance evaluation of a machine
learning classifier for the network intrusion dataset UNSW-NB15. Analysis of
the dataset suggests ... | [
{
"created": "Sun, 8 May 2022 21:06:42 GMT",
"version": "v1"
}
] | 2022-05-13 | [
[
"Zoghi",
"Zeinab",
""
],
[
"Serpen",
"Gursel",
""
]
] | Machine Learning-based supervised approaches require highly customized and fine-tuned methodologies to deliver outstanding performance. This paper presents a dataset-driven design and performance evaluation of a machine learning classifier for the network intrusion dataset UNSW-NB15. Analysis of the dataset suggests th... |
1702.07647 | Kaarthik Sundar | Kaarthik Sundar and Saravanan Venkatachalam and Satyanarayana G.
Manyam | Path Planning for Multiple Heterogeneous Unmanned Vehicles with
Uncertain Service Times | 8 pages, 2 figures, submitted to International Conference on Unmanned
Aircraft Systems (ICUAS) | null | 10.1109/ICUAS.2017.7991336 | null | cs.RO math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article presents a framework and develops a formulation to solve a path
planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with
uncertain service times for each vehicle--target pair. The vehicles incur a
penalty proportional to the duration of their total service time in excess of a
preset const... | [
{
"created": "Fri, 24 Feb 2017 16:24:58 GMT",
"version": "v1"
}
] | 2018-07-30 | [
[
"Sundar",
"Kaarthik",
""
],
[
"Venkatachalam",
"Saravanan",
""
],
[
"Manyam",
"Satyanarayana G.",
""
]
] | This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle--target pair. The vehicles incur a penalty proportional to the duration of their total service time in excess of a preset constan... |
2112.02612 | Zih-Syuan Huang | Zih-Syuan Huang, Ching-pei Lee | Training Structured Neural Networks Through Manifold Identification and
Variance Reduction | null | The 10th International Conference on Learning Representations,
2022 | null | null | cs.LG math.OC stat.ML | http://creativecommons.org/licenses/by/4.0/ | This paper proposes an algorithm (RMDA) for training neural networks (NNs)
with a regularization term for promoting desired structures. RMDA does not
incur computation additional to proximal SGD with momentum, and achieves
variance reduction without requiring the objective function to be of the
finite-sum form. Throu... | [
{
"created": "Sun, 5 Dec 2021 16:23:53 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Mar 2022 01:50:58 GMT",
"version": "v2"
},
{
"created": "Fri, 18 Mar 2022 10:36:17 GMT",
"version": "v3"
}
] | 2022-05-02 | [
[
"Huang",
"Zih-Syuan",
""
],
[
"Lee",
"Ching-pei",
""
]
] | This paper proposes an algorithm (RMDA) for training neural networks (NNs) with a regularization term for promoting desired structures. RMDA does not incur computation additional to proximal SGD with momentum, and achieves variance reduction without requiring the objective function to be of the finite-sum form. Through... |
2202.02537 | Cyril Onwubiko PhD | Cyril Onwubiko and Karim Ouazzane | Multidimensional Cybersecurity Framework for Strategic Foresight | 31 pages, 7 figures | Intl. Journal on Cyber Situational Awareness, Vol. 6, No. 1, 2021 | 10.22619/IJCSA.2021.100137 | null | cs.CR cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Cybersecurity is now at the forefront of most organisational digital
transformative agendas and National economic, social and political programmes.
Hence its impact to society can no longer be seen to be one dimensional. The
rise in National cybersecurity laws and regulations is a good indicator of its
perceived impo... | [
{
"created": "Sat, 5 Feb 2022 12:30:31 GMT",
"version": "v1"
}
] | 2022-02-08 | [
[
"Onwubiko",
"Cyril",
""
],
[
"Ouazzane",
"Karim",
""
]
] | Cybersecurity is now at the forefront of most organisational digital transformative agendas and National economic, social and political programmes. Hence its impact to society can no longer be seen to be one dimensional. The rise in National cybersecurity laws and regulations is a good indicator of its perceived import... |
2008.07346 | Federico Ruggeri | Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni | Memory networks for consumer protection:unfairness exposed | null | null | null | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has demonstrated how data-driven AI methods can leverage consumer
protection by supporting the automated analysis of legal documents. However, a
shortcoming of data-driven approaches is poor explainability. We posit that in
this domain useful explanations of classifier outcomes can be provided by
resortin... | [
{
"created": "Fri, 24 Jul 2020 14:25:54 GMT",
"version": "v1"
}
] | 2020-08-18 | [
[
"Ruggeri",
"Federico",
""
],
[
"Lagioia",
"Francesca",
""
],
[
"Lippi",
"Marco",
""
],
[
"Torroni",
"Paolo",
""
]
] | Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents. However, a shortcoming of data-driven approaches is poor explainability. We posit that in this domain useful explanations of classifier outcomes can be provided by resorting ... |
1203.4434 | Zaier Aida | Aida Zaier and Ridha Bouallegue | Blind Channel Estimation Enhancement for Mimo- OFDM Systems under High
Mobility Conditions | 8 pages, 4 figures | International Journal of Wireless & Mobile Networks (IJWMN) Vol.
4, No. 1, February 2012 | 10.5121/ijwmn.2012.4115 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose an enhancement of a blind channel estimator based
on a subspace approach in a MIMO OFDM context (Multi Input Multi Output
Orthogonal Frequency Division Multiplexing) in high mobility scenario. As
known, the combination between the MIMO context and the OFDM system has
stimulated mainly the ev... | [
{
"created": "Tue, 20 Mar 2012 13:42:21 GMT",
"version": "v1"
}
] | 2012-03-21 | [
[
"Zaier",
"Aida",
""
],
[
"Bouallegue",
"Ridha",
""
]
] | In this paper, we propose an enhancement of a blind channel estimator based on a subspace approach in a MIMO OFDM context (Multi Input Multi Output Orthogonal Frequency Division Multiplexing) in high mobility scenario. As known, the combination between the MIMO context and the OFDM system has stimulated mainly the evol... |
1112.1010 | Catherine Bliss | Catherine A. Bliss, Isabel M. Kloumann, Kameron Decker Harris,
Christopher M. Danforth, and Peter Sheridan Dodds | Twitter reciprocal reply networks exhibit assortativity with respect to
happiness | 22 pages, 21 figures, 5 tables, In press at the Journal of
Computational Science | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advent of social media has provided an extraordinary, if imperfect, 'big
data' window into the form and evolution of social networks. Based on nearly 40
million message pairs posted to Twitter between September 2008 and February
2009, we construct and examine the revealed social network structure and
dynamics ove... | [
{
"created": "Mon, 5 Dec 2011 17:27:09 GMT",
"version": "v1"
},
{
"created": "Fri, 4 May 2012 17:20:03 GMT",
"version": "v2"
},
{
"created": "Thu, 10 May 2012 19:33:56 GMT",
"version": "v3"
},
{
"created": "Fri, 11 May 2012 13:39:29 GMT",
"version": "v4"
}
] | 2012-05-14 | [
[
"Bliss",
"Catherine A.",
""
],
[
"Kloumann",
"Isabel M.",
""
],
[
"Harris",
"Kameron Decker",
""
],
[
"Danforth",
"Christopher M.",
""
],
[
"Dodds",
"Peter Sheridan",
""
]
] | The advent of social media has provided an extraordinary, if imperfect, 'big data' window into the form and evolution of social networks. Based on nearly 40 million message pairs posted to Twitter between September 2008 and February 2009, we construct and examine the revealed social network structure and dynamics over ... |
2107.04863 | Florian Tambon | Florian Tambon, Giulio Antoniol and Foutse Khomh | HOMRS: High Order Metamorphic Relations Selector for Deep Neural
Networks | 33 pages | null | null | null | cs.LG cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Networks (DNN) applications are increasingly becoming a part of
our everyday life, from medical applications to autonomous cars. Traditional
validation of DNN relies on accuracy measures, however, the existence of
adversarial examples has highlighted the limitations of these accuracy
measures, raising con... | [
{
"created": "Sat, 10 Jul 2021 15:40:12 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Dec 2021 13:18:24 GMT",
"version": "v2"
}
] | 2021-12-22 | [
[
"Tambon",
"Florian",
""
],
[
"Antoniol",
"Giulio",
""
],
[
"Khomh",
"Foutse",
""
]
] | Deep Neural Networks (DNN) applications are increasingly becoming a part of our everyday life, from medical applications to autonomous cars. Traditional validation of DNN relies on accuracy measures, however, the existence of adversarial examples has highlighted the limitations of these accuracy measures, raising conce... |
1011.3049 | Danupon Nanongkai | Atish Das Sarma, Stephan Holzer, Liah Kor, Amos Korman, Danupon
Nanongkai, Gopal Pandurangan, David Peleg, Roger Wattenhofer | Distributed Verification and Hardness of Distributed Approximation | Submitted to Journal (special issue of STOC 2011) | null | null | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the {\em verification} problem in distributed networks, stated as
follows. Let $H$ be a subgraph of a network $G$ where each vertex of $G$ knows
which edges incident on it are in $H$. We would like to verify whether $H$ has
some properties, e.g., if it is a tree or if it is connected. We would like to
perfor... | [
{
"created": "Fri, 12 Nov 2010 21:06:13 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Mar 2011 00:02:26 GMT",
"version": "v2"
},
{
"created": "Sat, 15 Oct 2011 17:01:07 GMT",
"version": "v3"
}
] | 2011-10-18 | [
[
"Sarma",
"Atish Das",
""
],
[
"Holzer",
"Stephan",
""
],
[
"Kor",
"Liah",
""
],
[
"Korman",
"Amos",
""
],
[
"Nanongkai",
"Danupon",
""
],
[
"Pandurangan",
"Gopal",
""
],
[
"Peleg",
"David",
""
],
[
... | We study the {\em verification} problem in distributed networks, stated as follows. Let $H$ be a subgraph of a network $G$ where each vertex of $G$ knows which edges incident on it are in $H$. We would like to verify whether $H$ has some properties, e.g., if it is a tree or if it is connected. We would like to perform ... |
1804.10520 | Matthew England Dr | Zongyan Huang, Matthew England, David Wilson, James H. Davenport, and
Lawrence C. Paulson | Using Machine Learning to Improve Cylindrical Algebraic Decomposition | arXiv admin note: text overlap with arXiv:1608.04219, arXiv:1404.6369 | Mathematics in Computer Science, 13:4, pp. 461 - 488, Springer,
2019 | 10.1007/s11786-019-00394-8 | null | cs.SC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cylindrical Algebraic Decomposition (CAD) is a key tool in computational
algebraic geometry, best known as a procedure to enable Quantifier Elimination
over real-closed fields. However, it has a worst case complexity doubly
exponential in the size of the input, which is often encountered in practice.
It has been obse... | [
{
"created": "Thu, 26 Apr 2018 12:56:51 GMT",
"version": "v1"
}
] | 2019-11-25 | [
[
"Huang",
"Zongyan",
""
],
[
"England",
"Matthew",
""
],
[
"Wilson",
"David",
""
],
[
"Davenport",
"James H.",
""
],
[
"Paulson",
"Lawrence C.",
""
]
] | Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, best known as a procedure to enable Quantifier Elimination over real-closed fields. However, it has a worst case complexity doubly exponential in the size of the input, which is often encountered in practice. It has been observ... |
2204.06397 | Anja Jankovic | Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel,
Tome Eftimov, Carola Doerr | Trajectory-based Algorithm Selection with Warm-starting | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Landscape-aware algorithm selection approaches have so far mostly been
relying on landscape feature extraction as a preprocessing step, independent of
the execution of optimization algorithms in the portfolio. This introduces a
significant overhead in computational cost for many practical applications, as
features ar... | [
{
"created": "Wed, 13 Apr 2022 14:00:55 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Jun 2022 11:45:35 GMT",
"version": "v2"
}
] | 2022-06-08 | [
[
"Jankovic",
"Anja",
""
],
[
"Vermetten",
"Diederick",
""
],
[
"Kostovska",
"Ana",
""
],
[
"de Nobel",
"Jacob",
""
],
[
"Eftimov",
"Tome",
""
],
[
"Doerr",
"Carola",
""
]
] | Landscape-aware algorithm selection approaches have so far mostly been relying on landscape feature extraction as a preprocessing step, independent of the execution of optimization algorithms in the portfolio. This introduces a significant overhead in computational cost for many practical applications, as features are ... |
1002.0406 | Christoph Studer | Christoph Studer, Markus Wenk, Andreas Burg | MIMO Transmission with Residual Transmit-RF Impairments | to be presented at the International ITG Workshop on Smart Antennas -
WSA 2010 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physical transceiver implementations for multiple-input multiple-output
(MIMO) wireless communication systems suffer from transmit-RF (Tx-RF)
impairments. In this paper, we study the effect on channel capacity and
error-rate performance of residual Tx-RF impairments that defy proper
compensation. In particular, we de... | [
{
"created": "Tue, 2 Feb 2010 07:37:18 GMT",
"version": "v1"
}
] | 2010-02-03 | [
[
"Studer",
"Christoph",
""
],
[
"Wenk",
"Markus",
""
],
[
"Burg",
"Andreas",
""
]
] | Physical transceiver implementations for multiple-input multiple-output (MIMO) wireless communication systems suffer from transmit-RF (Tx-RF) impairments. In this paper, we study the effect on channel capacity and error-rate performance of residual Tx-RF impairments that defy proper compensation. In particular, we demo... |
1806.06639 | Marco Livesu | Matteo Bracci and Marco Tarini and Nico Pietroni and Marco Livesu and
Paolo Cignoni | HexaLab.net: an online viewer for hexahedral meshes | null | Computer-Aided Design, Volume 110, May 2019, Pages 24-36 | 10.1016/j.cad.2018.12.003 | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce HexaLab: a WebGL application for real time visualization,
exploration and assessment of hexahedral meshes. HexaLab can be used by simply
opening www.hexalab.net. Our visualization tool targets both users and
scholars. Practitioners who employ hexmeshes for Finite Element Analysis, can
readily check mesh ... | [
{
"created": "Mon, 18 Jun 2018 12:58:08 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Mar 2019 11:04:43 GMT",
"version": "v2"
}
] | 2019-03-18 | [
[
"Bracci",
"Matteo",
""
],
[
"Tarini",
"Marco",
""
],
[
"Pietroni",
"Nico",
""
],
[
"Livesu",
"Marco",
""
],
[
"Cignoni",
"Paolo",
""
]
] | We introduce HexaLab: a WebGL application for real time visualization, exploration and assessment of hexahedral meshes. HexaLab can be used by simply opening www.hexalab.net. Our visualization tool targets both users and scholars. Practitioners who employ hexmeshes for Finite Element Analysis, can readily check mesh qu... |
2209.07936 | Zhuoruo Zhang | Zhuoruo Zhang, Chenyang Yu, Rui Chang, Mingshuai Chen, Bo Feng, He
Huang, Qinming Dai, Wenbo Shen, Yongwang Zhao | PA-Boot: A Formally Verified Authentication Protocol for Multiprocessor
Secure Boot | null | null | null | null | cs.CR cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hardware supply-chain attacks are raising significant security threats to the
boot process of multiprocessor systems. This paper identifies a new, prevalent
hardware supply-chain attack surface that can bypass multiprocessor secure boot
due to the absence of processor-authentication mechanisms. To defend against
such... | [
{
"created": "Fri, 16 Sep 2022 13:54:43 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Apr 2024 03:04:32 GMT",
"version": "v2"
}
] | 2024-04-26 | [
[
"Zhang",
"Zhuoruo",
""
],
[
"Yu",
"Chenyang",
""
],
[
"Chang",
"Rui",
""
],
[
"Chen",
"Mingshuai",
""
],
[
"Feng",
"Bo",
""
],
[
"Huang",
"He",
""
],
[
"Dai",
"Qinming",
""
],
[
"Shen",
"Wenbo",... | Hardware supply-chain attacks are raising significant security threats to the boot process of multiprocessor systems. This paper identifies a new, prevalent hardware supply-chain attack surface that can bypass multiprocessor secure boot due to the absence of processor-authentication mechanisms. To defend against such a... |
1406.5162 | Baichuan Zhang | Baichuan Zhang, Tanay Kumar Saha and Mohammad Al Hasan | Name Disambiguation from link data in a collaboration graph using
temporal and topological features | The short version of this paper has been accepted to ASONAM 2014 | null | null | null | cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a social community, multiple persons may share the same name, phone number
or some other identifying attributes. This, along with other phenomena, such as
name abbreviation, name misspelling, and human error leads to erroneous
aggregation of records of multiple persons under a single reference. Such
mistakes affec... | [
{
"created": "Thu, 19 Jun 2014 19:22:33 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Feb 2016 16:07:38 GMT",
"version": "v2"
},
{
"created": "Thu, 18 Feb 2016 19:39:13 GMT",
"version": "v3"
}
] | 2016-02-19 | [
[
"Zhang",
"Baichuan",
""
],
[
"Saha",
"Tanay Kumar",
""
],
[
"Hasan",
"Mohammad Al",
""
]
] | In a social community, multiple persons may share the same name, phone number or some other identifying attributes. This, along with other phenomena, such as name abbreviation, name misspelling, and human error leads to erroneous aggregation of records of multiple persons under a single reference. Such mistakes affect ... |
2112.10457 | Or Toledano | Or Toledano, Yanir Marmor, Dov Gertz | Image Animation with Keypoint Mask | null | null | 10.13140/RG.2.2.16342.16968 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Motion transfer is the task of synthesizing future video frames of a single
source image according to the motion from a given driving video. In order to
solve it, we face the challenging complexity of motion representation and the
unknown relations between the driving video and the source image. Despite its
difficult... | [
{
"created": "Mon, 20 Dec 2021 11:35:06 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Dec 2021 22:15:23 GMT",
"version": "v2"
}
] | 2021-12-23 | [
[
"Toledano",
"Or",
""
],
[
"Marmor",
"Yanir",
""
],
[
"Gertz",
"Dov",
""
]
] | Motion transfer is the task of synthesizing future video frames of a single source image according to the motion from a given driving video. In order to solve it, we face the challenging complexity of motion representation and the unknown relations between the driving video and the source image. Despite its difficulty,... |
1411.3071 | Sunil Kumar Prof. | Sunil Kumar, Priya Ranjan, R. Radhakrishnan | EMEEDP: Enhanced Multi-hop Energy Efficient Distributed Protocol for
Heterogeneous Wireless Sensor Network | 6 pages, 4 figures. arXiv admin note: substantial text overlap with
arXiv:1409.1412 by other authors | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In WSN (Wireless Sensor Network) every sensor node sensed the data and
transmit it to the CH (Cluster head) or BS (Base Station). Sensors are randomly
deployed in unreachable areas, where battery replacement or battery charge is
not possible. For this reason, Energy conservation is the important design goal
while dev... | [
{
"created": "Wed, 12 Nov 2014 05:19:43 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Nov 2014 16:37:20 GMT",
"version": "v2"
}
] | 2014-11-17 | [
[
"Kumar",
"Sunil",
""
],
[
"Ranjan",
"Priya",
""
],
[
"Radhakrishnan",
"R.",
""
]
] | In WSN (Wireless Sensor Network) every sensor node sensed the data and transmit it to the CH (Cluster head) or BS (Base Station). Sensors are randomly deployed in unreachable areas, where battery replacement or battery charge is not possible. For this reason, Energy conservation is the important design goal while devel... |
1708.08989 | Yu Zhao | Yu Zhao, Rennong Yang, Guillaume Chevalier, Maoguo Gong | Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable
Sensors | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human activity recognition (HAR) has become a popular topic in research
because of its wide application. With the development of deep learning, new
ideas have appeared to address HAR problems. Here, a deep network architecture
using residual bidirectional long short-term memory (LSTM) cells is proposed.
The advantage... | [
{
"created": "Tue, 22 Aug 2017 11:02:13 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Sep 2017 07:36:31 GMT",
"version": "v2"
}
] | 2017-09-08 | [
[
"Zhao",
"Yu",
""
],
[
"Yang",
"Rennong",
""
],
[
"Chevalier",
"Guillaume",
""
],
[
"Gong",
"Maoguo",
""
]
] | Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address HAR problems. Here, a deep network architecture using residual bidirectional long short-term memory (LSTM) cells is proposed. The advantages ... |
2407.14486 | Eduardo C. Garrido-Merch\'an | Alejandra de la Rica Escudero, Eduardo C. Garrido-Merchan, Maria
Coronado-Vaca | Explainable Post hoc Portfolio Management Financial Policy of a Deep
Reinforcement Learning agent | null | null | null | null | cs.CE cs.AI q-fin.PM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Financial portfolio management investment policies computed quantitatively by
modern portfolio theory techniques like the Markowitz model rely on a set on
assumptions that are not supported by data in high volatility markets. Hence,
quantitative researchers are looking for alternative models to tackle this
problem. C... | [
{
"created": "Fri, 19 Jul 2024 17:40:39 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Escudero",
"Alejandra de la Rica",
""
],
[
"Garrido-Merchan",
"Eduardo C.",
""
],
[
"Coronado-Vaca",
"Maria",
""
]
] | Financial portfolio management investment policies computed quantitatively by modern portfolio theory techniques like the Markowitz model rely on a set on assumptions that are not supported by data in high volatility markets. Hence, quantitative researchers are looking for alternative models to tackle this problem. Con... |
1406.7264 | Gokhan Calis | Gokhan Calis and O. Ozan Koyluoglu | Repairable Block Failure Resilient Codes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In large scale distributed storage systems (DSS) deployed in cloud computing,
correlated failures resulting in simultaneous failure (or, unavailability) of
blocks of nodes are common. In such scenarios, the stored data or a content of
a failed node can only be reconstructed from the available live nodes belonging
to ... | [
{
"created": "Fri, 27 Jun 2014 18:30:47 GMT",
"version": "v1"
}
] | 2014-06-30 | [
[
"Calis",
"Gokhan",
""
],
[
"Koyluoglu",
"O. Ozan",
""
]
] | In large scale distributed storage systems (DSS) deployed in cloud computing, correlated failures resulting in simultaneous failure (or, unavailability) of blocks of nodes are common. In such scenarios, the stored data or a content of a failed node can only be reconstructed from the available live nodes belonging to av... |
1501.05990 | Paulo Shakarian | Jana Shakarian, Paulo Shakarian, Andrew Ruef | Cyber Attacks and Public Embarrassment: A Survey of Some Notable Hacks | null | null | null | null | cs.CY cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We hear it all too often in the media: an organization is attacked, its data,
often containing personally identifying information, is made public, and a
hacking group emerges to claim credit. In this excerpt, we discuss how such
groups operate and describe the details of a few major cyber-attacks of this
sort in the ... | [
{
"created": "Sat, 24 Jan 2015 02:35:04 GMT",
"version": "v1"
}
] | 2015-01-27 | [
[
"Shakarian",
"Jana",
""
],
[
"Shakarian",
"Paulo",
""
],
[
"Ruef",
"Andrew",
""
]
] | We hear it all too often in the media: an organization is attacked, its data, often containing personally identifying information, is made public, and a hacking group emerges to claim credit. In this excerpt, we discuss how such groups operate and describe the details of a few major cyber-attacks of this sort in the wi... |
1808.00560 | Kai Chen | Kai Chen, Yijue Dai, Feng Yin, Elena Marchiori, and Sergios
Theodoridis | Compressible Spectral Mixture Kernels with Sparse Dependency Structures
for Gaussian Processes | 13 pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spectral mixture (SM) kernels comprise a powerful class of generalized
kernels for Gaussian processes (GPs) to describe complex patterns. This paper
introduces model compression and time- and phase (TP) modulated dependency
structures to the original (SM) kernel for improved generalization of GPs.
Specifically, by ad... | [
{
"created": "Wed, 1 Aug 2018 20:55:54 GMT",
"version": "v1"
},
{
"created": "Sun, 9 Sep 2018 11:50:23 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Sep 2018 21:37:31 GMT",
"version": "v3"
},
{
"created": "Tue, 18 Sep 2018 09:05:19 GMT",
"version": "v4"
},
{
"cre... | 2023-07-27 | [
[
"Chen",
"Kai",
""
],
[
"Dai",
"Yijue",
""
],
[
"Yin",
"Feng",
""
],
[
"Marchiori",
"Elena",
""
],
[
"Theodoridis",
"Sergios",
""
]
] | Spectral mixture (SM) kernels comprise a powerful class of generalized kernels for Gaussian processes (GPs) to describe complex patterns. This paper introduces model compression and time- and phase (TP) modulated dependency structures to the original (SM) kernel for improved generalization of GPs. Specifically, by adop... |
1905.10028 | Simone Brugiapaglia | Ben Adcock, Simone Brugiapaglia, Matthew King-Roskamp | Do log factors matter? On optimal wavelet approximation and the
foundations of compressed sensing | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A signature result in compressed sensing is that Gaussian random sampling
achieves stable and robust recovery of sparse vectors under optimal conditions
on the number of measurements. However, in the context of image reconstruction,
it has been extensively documented that sampling strategies based on Fourier
measurem... | [
{
"created": "Fri, 24 May 2019 04:38:13 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Sep 2020 20:29:16 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Jan 2021 18:48:45 GMT",
"version": "v3"
}
] | 2021-01-26 | [
[
"Adcock",
"Ben",
""
],
[
"Brugiapaglia",
"Simone",
""
],
[
"King-Roskamp",
"Matthew",
""
]
] | A signature result in compressed sensing is that Gaussian random sampling achieves stable and robust recovery of sparse vectors under optimal conditions on the number of measurements. However, in the context of image reconstruction, it has been extensively documented that sampling strategies based on Fourier measuremen... |
2105.12092 | Anselmo Pitombeira-Neto | Anselmo R. Pitombeira-Neto, Helano P. Santos, Ticiana L. Coelho da
Silva, Jos\'e Antonio F. de Macedo | Trajectory Modeling via Random Utility Inverse Reinforcement Learning | 31 pages; expanded version, with the addition of proofs not present
in the first version | null | 10.1016/j.ins.2024.120128 | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of modeling trajectories of drivers in a road network
from the perspective of inverse reinforcement learning. Cars are detected by
sensors placed on sparsely distributed points on the street network of a city.
As rational agents, drivers are trying to maximize some reward function unknown
to a... | [
{
"created": "Tue, 25 May 2021 17:19:09 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Jan 2023 02:54:30 GMT",
"version": "v2"
}
] | 2024-01-22 | [
[
"Pitombeira-Neto",
"Anselmo R.",
""
],
[
"Santos",
"Helano P.",
""
],
[
"da Silva",
"Ticiana L. Coelho",
""
],
[
"de Macedo",
"José Antonio F.",
""
]
] | We consider the problem of modeling trajectories of drivers in a road network from the perspective of inverse reinforcement learning. Cars are detected by sensors placed on sparsely distributed points on the street network of a city. As rational agents, drivers are trying to maximize some reward function unknown to an ... |
2011.12073 | Michael Lepori Jr. | Michael A. Lepori, R. Thomas McCoy | Picking BERT's Brain: Probing for Linguistic Dependencies in
Contextualized Embeddings Using Representational Similarity Analysis | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | As the name implies, contextualized representations of language are typically
motivated by their ability to encode context. Which aspects of context are
captured by such representations? We introduce an approach to address this
question using Representational Similarity Analysis (RSA). As case studies, we
investigate... | [
{
"created": "Tue, 24 Nov 2020 13:19:06 GMT",
"version": "v1"
}
] | 2020-11-25 | [
[
"Lepori",
"Michael A.",
""
],
[
"McCoy",
"R. Thomas",
""
]
] | As the name implies, contextualized representations of language are typically motivated by their ability to encode context. Which aspects of context are captured by such representations? We introduce an approach to address this question using Representational Similarity Analysis (RSA). As case studies, we investigate t... |
1910.07972 | Max Argus | Lukas Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili,
Wolfram Burgard, Thomas Brox | Adaptive Curriculum Generation from Demonstrations for Sim-to-Real
Visuomotor Control | Accepted at the 2020 IEEE International Conference on Robotics and
Automation (ICRA). Project page see
https://lmb.informatik.uni-freiburg.de/projects/curriculum/ | null | null | null | cs.RO cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for
reinforcement learning in the presence of sparse rewards. Rather than designing
shaped reward functions, ACGD adaptively sets the appropriate task difficulty
for the learner by controlling where to sample from the demonstration
trajectories and ... | [
{
"created": "Thu, 17 Oct 2019 15:33:03 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Oct 2019 10:49:36 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Jul 2020 15:44:10 GMT",
"version": "v3"
}
] | 2020-07-09 | [
[
"Hermann",
"Lukas",
""
],
[
"Argus",
"Max",
""
],
[
"Eitel",
"Andreas",
""
],
[
"Amiranashvili",
"Artemij",
""
],
[
"Burgard",
"Wolfram",
""
],
[
"Brox",
"Thomas",
""
]
] | We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for reinforcement learning in the presence of sparse rewards. Rather than designing shaped reward functions, ACGD adaptively sets the appropriate task difficulty for the learner by controlling where to sample from the demonstration trajectories and wh... |
2311.05647 | Marc Wolf | Marc Wolf and Fran\c{c}ois Wolf | On the density of primes of the form $X^2+c$ | 25 pages | null | 10.14738/tecs.116.15890 | null | cs.DS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present a method for finding large fixed-size primes of the form $X^2+c$.
We study the density of primes on the sets $E_c = \{N(X,c)=X^2+c,\ X \in
(2\mathbb{Z}+(c-1))\}$, $c \in \mathbb{N}^*$. We describe an algorithm for
generating values of $c$ such that a given prime $p$ is the minimum of the
union of prime div... | [
{
"created": "Tue, 7 Nov 2023 10:35:00 GMT",
"version": "v1"
}
] | 2023-12-20 | [
[
"Wolf",
"Marc",
""
],
[
"Wolf",
"François",
""
]
] | We present a method for finding large fixed-size primes of the form $X^2+c$. We study the density of primes on the sets $E_c = \{N(X,c)=X^2+c,\ X \in (2\mathbb{Z}+(c-1))\}$, $c \in \mathbb{N}^*$. We describe an algorithm for generating values of $c$ such that a given prime $p$ is the minimum of the union of prime divis... |
2206.04740 | Chhavi Yadav | Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri | XAudit : A Theoretical Look at Auditing with Explanations | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Responsible use of machine learning requires models to be audited for
undesirable properties. While a body of work has proposed using explanations
for auditing, how to do so and why has remained relatively ill-understood. This
work formalizes the role of explanations in auditing and investigates if and
how model expl... | [
{
"created": "Thu, 9 Jun 2022 19:19:58 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Nov 2022 22:03:00 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Jun 2023 15:38:01 GMT",
"version": "v3"
}
] | 2023-06-06 | [
[
"Yadav",
"Chhavi",
""
],
[
"Moshkovitz",
"Michal",
""
],
[
"Chaudhuri",
"Kamalika",
""
]
] | Responsible use of machine learning requires models to be audited for undesirable properties. While a body of work has proposed using explanations for auditing, how to do so and why has remained relatively ill-understood. This work formalizes the role of explanations in auditing and investigates if and how model explan... |
1606.02055 | St\'ephane Lens | St\'ephane Lens, Bernard Boigelot | From Constrained Delaunay Triangulations to Roadmap Graphs with
Arbitrary Clearance | null | null | null | null | cs.CG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work studies path planning in two-dimensional space, in the presence of
polygonal obstacles. We specifically address the problem of building a roadmap
graph, that is, an abstract representation of all the paths that can
potentially be followed around a given set of obstacles. Our solution consists
in an original... | [
{
"created": "Tue, 7 Jun 2016 08:04:43 GMT",
"version": "v1"
}
] | 2016-06-08 | [
[
"Lens",
"Stéphane",
""
],
[
"Boigelot",
"Bernard",
""
]
] | This work studies path planning in two-dimensional space, in the presence of polygonal obstacles. We specifically address the problem of building a roadmap graph, that is, an abstract representation of all the paths that can potentially be followed around a given set of obstacles. Our solution consists in an original r... |
2403.04905 | Mark de Berg | Boris Aronov, Mark de Berg, Leonidas Theocharous | A Clique-Based Separator for Intersection Graphs of Geodesic Disks in
$\mathbb{R}^2$ | The paper will appear in SoCG 2024 | null | null | null | cs.CG | http://creativecommons.org/licenses/by/4.0/ | Let $d$ be a (well-behaved) shortest-path metric defined on a path-connected
subset of $\mathbb{R}^2$ and let $\mathcal{D}=\{D_1,\ldots,D_n\}$ be a set of
geodesic disks with respect to the metric $d$. We prove that
$\mathcal{G}^{\times}(\mathcal{D})$, the intersection graph of the disks in
$\mathcal{D}$, has a cliqu... | [
{
"created": "Thu, 7 Mar 2024 21:23:52 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Aronov",
"Boris",
""
],
[
"de Berg",
"Mark",
""
],
[
"Theocharous",
"Leonidas",
""
]
] | Let $d$ be a (well-behaved) shortest-path metric defined on a path-connected subset of $\mathbb{R}^2$ and let $\mathcal{D}=\{D_1,\ldots,D_n\}$ be a set of geodesic disks with respect to the metric $d$. We prove that $\mathcal{G}^{\times}(\mathcal{D})$, the intersection graph of the disks in $\mathcal{D}$, has a clique-... |
2307.01346 | Tobias Goodwin-Allcock | Tobias Goodwin-Allcock, Ting Gong, Robert Gray, Parashkev Nachev and
Hui Zhang | Patch-CNN: Training data-efficient deep learning for high-fidelity
diffusion tensor estimation from minimal diffusion protocols | 12 pages, 6 figures | null | null | null | cs.CV cs.LG eess.IV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from
only six-direction diffusion weighted images (DWI). Deep learning-based methods
have been recently proposed for dMRI parameter estimation, using either
voxel-wise fully-connected neural networks (FCN) or image-wise convolutional
neural netw... | [
{
"created": "Mon, 3 Jul 2023 20:39:48 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Goodwin-Allcock",
"Tobias",
""
],
[
"Gong",
"Ting",
""
],
[
"Gray",
"Robert",
""
],
[
"Nachev",
"Parashkev",
""
],
[
"Zhang",
"Hui",
""
]
] | We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recently proposed for dMRI parameter estimation, using either voxel-wise fully-connected neural networks (FCN) or image-wise convolutional neural networ... |
2101.06213 | Hsing-Chung Chen | Hsing-Chung Chen, Karisma Trinanda Putra, Jerry Chun-WeiLin | A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal
Propagation Based on Convolutional Recursive Neural Networks | null | null | null | Report-no: HCC-2021-01 | cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | The spread of PM2.5 pollutants that endanger health is difficult to predict
because it involves many atmospheric variables. These micron particles can
spread rapidly from their source to residential areas, increasing the risk of
respiratory disease if exposed for long periods. The prediction system of PM2.5
propagati... | [
{
"created": "Fri, 15 Jan 2021 17:00:04 GMT",
"version": "v1"
}
] | 2021-01-18 | [
[
"Chen",
"Hsing-Chung",
""
],
[
"Putra",
"Karisma Trinanda",
""
],
[
"Chun-WeiLin",
"Jerry",
""
]
] | The spread of PM2.5 pollutants that endanger health is difficult to predict because it involves many atmospheric variables. These micron particles can spread rapidly from their source to residential areas, increasing the risk of respiratory disease if exposed for long periods. The prediction system of PM2.5 propagation... |
1709.10142 | Arash Rahnama | Arash Rahnama and Panos J. Antsaklis | Resilient Learning-Based Control for Synchronization of Passive
Multi-Agent Systems under Attack | null | null | null | null | cs.SY math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we show synchronization for a group of output passive agents
that communicate with each other according to an underlying communication graph
to achieve a common goal. We propose a distributed event-triggered control
framework that will guarantee synchronization and considerably decrease the
required co... | [
{
"created": "Thu, 28 Sep 2017 19:36:53 GMT",
"version": "v1"
}
] | 2017-10-02 | [
[
"Rahnama",
"Arash",
""
],
[
"Antsaklis",
"Panos J.",
""
]
] | In this paper, we show synchronization for a group of output passive agents that communicate with each other according to an underlying communication graph to achieve a common goal. We propose a distributed event-triggered control framework that will guarantee synchronization and considerably decrease the required comm... |
2407.11766 | Joseph Chen | Joseph Chen | Vectoring Languages | 12 pages including references | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recent breakthroughs in large language models (LLM) have stirred up global
attention, and the research has been accelerating non-stop since then.
Philosophers and psychologists have also been researching the structure of
language for decades, but they are having a hard time finding a theory that
directly benefits fro... | [
{
"created": "Tue, 16 Jul 2024 14:25:55 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Chen",
"Joseph",
""
]
] | Recent breakthroughs in large language models (LLM) have stirred up global attention, and the research has been accelerating non-stop since then. Philosophers and psychologists have also been researching the structure of language for decades, but they are having a hard time finding a theory that directly benefits from ... |
2006.03280 | Fran\c{c}ois Schwarzentruber | Arthur Queffelec and Ocan Sankur and Fran\c{c}ois Schwarzentruber | Conflict-Based Search for Connected Multi-Agent Path Finding | null | null | null | null | cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a variant of the multi-agent path finding problem (MAPF) in which
agents are required to remain connected to each other and to a designated base.
This problem has applications in search and rescue missions where the entire
execution must be monitored by a human operator. We re-visit the conflict-based
search... | [
{
"created": "Fri, 5 Jun 2020 08:02:36 GMT",
"version": "v1"
}
] | 2020-06-08 | [
[
"Queffelec",
"Arthur",
""
],
[
"Sankur",
"Ocan",
""
],
[
"Schwarzentruber",
"François",
""
]
] | We study a variant of the multi-agent path finding problem (MAPF) in which agents are required to remain connected to each other and to a designated base. This problem has applications in search and rescue missions where the entire execution must be monitored by a human operator. We re-visit the conflict-based search a... |
2404.05961 | Parishad BehnamGhader | Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry
Bahdanau, Nicolas Chapados, Siva Reddy | LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large decoder-only language models (LLMs) are the state-of-the-art models on
most of today's NLP tasks and benchmarks. Yet, the community is only slowly
adopting these models for text embedding tasks, which require rich
contextualized representations. In this work, we introduce LLM2Vec, a simple
unsupervised approach... | [
{
"created": "Tue, 9 Apr 2024 02:51:05 GMT",
"version": "v1"
}
] | 2024-04-10 | [
[
"BehnamGhader",
"Parishad",
""
],
[
"Adlakha",
"Vaibhav",
""
],
[
"Mosbach",
"Marius",
""
],
[
"Bahdanau",
"Dzmitry",
""
],
[
"Chapados",
"Nicolas",
""
],
[
"Reddy",
"Siva",
""
]
] | Large decoder-only language models (LLMs) are the state-of-the-art models on most of today's NLP tasks and benchmarks. Yet, the community is only slowly adopting these models for text embedding tasks, which require rich contextualized representations. In this work, we introduce LLM2Vec, a simple unsupervised approach t... |
2406.06967 | Kailas Dayanandan | Kailas Dayanandan, Anand Sinha, Brejesh Lall | Dual Thinking and Perceptual Analysis of Deep Learning Models using
Human Adversarial Examples | null | null | null | null | cs.CV cs.AI eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The dual thinking framework considers fast, intuitive processing and slower,
logical processing. The perception of dual thinking in vision requires images
where inferences from intuitive and logical processing differ. We introduce an
adversarial dataset to provide evidence for the dual thinking framework in
human vis... | [
{
"created": "Tue, 11 Jun 2024 05:50:34 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Dayanandan",
"Kailas",
""
],
[
"Sinha",
"Anand",
""
],
[
"Lall",
"Brejesh",
""
]
] | The dual thinking framework considers fast, intuitive processing and slower, logical processing. The perception of dual thinking in vision requires images where inferences from intuitive and logical processing differ. We introduce an adversarial dataset to provide evidence for the dual thinking framework in human visio... |
2005.00205 | Baiji Liu | Baiji Liu and Songjun Cao and Sining Sun and Weibin Zhang and Long Ma | Multi-head Monotonic Chunkwise Attention For Online Speech Recognition | null | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The attention mechanism of the Listen, Attend and Spell (LAS) model requires
the whole input sequence to calculate the attention context and thus is not
suitable for online speech recognition. To deal with this problem, we propose
multi-head monotonic chunk-wise attention (MTH-MoChA), an improved version of
MoChA. MT... | [
{
"created": "Fri, 1 May 2020 04:00:51 GMT",
"version": "v1"
}
] | 2020-05-04 | [
[
"Liu",
"Baiji",
""
],
[
"Cao",
"Songjun",
""
],
[
"Sun",
"Sining",
""
],
[
"Zhang",
"Weibin",
""
],
[
"Ma",
"Long",
""
]
] | The attention mechanism of the Listen, Attend and Spell (LAS) model requires the whole input sequence to calculate the attention context and thus is not suitable for online speech recognition. To deal with this problem, we propose multi-head monotonic chunk-wise attention (MTH-MoChA), an improved version of MoChA. MTH-... |
2408.01245 | Alexander Chunikhin | Alexander Yu. Chunikhin | CHTW-systems with resource-depended parameters. CHTW(R)-systems | 10 pages, 2 figures. arXiv admin note: substantial text overlap with
arXiv:2310.01587 | null | null | PIBNASU-08/24 | cs.LO | http://creativecommons.org/licenses/by/4.0/ | In [1] the concept of CHTW-systems as a multidimensional representation of
Petri nets was proposed based on the assumption of multidimensional
distribution of tokens (resources) in positions (branes) and, accordingly,
multidimensional representation of transitions and arcs. The extension of Petri
nets was developed u... | [
{
"created": "Fri, 2 Aug 2024 13:07:04 GMT",
"version": "v1"
}
] | 2024-08-05 | [
[
"Chunikhin",
"Alexander Yu.",
""
]
] | In [1] the concept of CHTW-systems as a multidimensional representation of Petri nets was proposed based on the assumption of multidimensional distribution of tokens (resources) in positions (branes) and, accordingly, multidimensional representation of transitions and arcs. The extension of Petri nets was developed und... |
2108.12108 | Xinran Zhang | Xinran Zhang, Maosong Sun, Jiafeng Liu, Xiaobing Li | Lingxi: A Diversity-aware Chinese Modern Poetry Generation System | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Poetry generation has been a difficult task in natural language processing.
Unlike plain neural text generation tasks, poetry has a high requirement for
novelty, since an easily-understood sentence with too many high frequency words
might not be considered as poetic, while adequately ambiguous sentences with
low freq... | [
{
"created": "Fri, 27 Aug 2021 03:33:28 GMT",
"version": "v1"
}
] | 2021-08-30 | [
[
"Zhang",
"Xinran",
""
],
[
"Sun",
"Maosong",
""
],
[
"Liu",
"Jiafeng",
""
],
[
"Li",
"Xiaobing",
""
]
] | Poetry generation has been a difficult task in natural language processing. Unlike plain neural text generation tasks, poetry has a high requirement for novelty, since an easily-understood sentence with too many high frequency words might not be considered as poetic, while adequately ambiguous sentences with low freque... |
1403.6251 | Ludovic Mignot | Ludovic Mignot (LITIS Laboratory Normandie University, University of
Rouen France), Nadia Ouali Sebti (LITIS Laboratory Normandie University,
University of Rouen France), Djelloul Ziadi (LITIS Laboratory Normandie
University, University of Rouen France) | K-Position, Follow, Equation and K-C-Continuation Tree Automata
Constructions | null | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There exist several methods of computing an automaton recognizing the
language denoted by a given regular expression: In the case of words, the
position automaton P due to Glushkov, the c-continuation automaton C due to
Champarnaud and Ziadi, the follow automaton F due to Ilie and Yu and the
equation automaton E due ... | [
{
"created": "Tue, 25 Mar 2014 07:51:12 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Mar 2014 08:53:25 GMT",
"version": "v2"
},
{
"created": "Thu, 22 May 2014 07:44:18 GMT",
"version": "v3"
},
{
"created": "Fri, 11 Jul 2014 05:59:20 GMT",
"version": "v4"
}
] | 2014-07-14 | [
[
"Mignot",
"Ludovic",
"",
"LITIS Laboratory Normandie University, University of\n Rouen France"
],
[
"Sebti",
"Nadia Ouali",
"",
"LITIS Laboratory Normandie University,\n University of Rouen France"
],
[
"Ziadi",
"Djelloul",
"",
"LITIS Laboratory Normandie\... | There exist several methods of computing an automaton recognizing the language denoted by a given regular expression: In the case of words, the position automaton P due to Glushkov, the c-continuation automaton C due to Champarnaud and Ziadi, the follow automaton F due to Ilie and Yu and the equation automaton E due to... |
1405.5507 | Tianqing Wu | Tianqing Wu, Hong-Chuan Yang | Improved Performance of RF Energy Powered Wireless Sensor Node with
Cooperative Beam Selection | 17pages, 5 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | RF energy harvesting is a promising potential solution to provide convenient
and perpetual energy supplies to low-power wireless sensor networks. In this
paper, we investigate the energy harvesting performance of a wireless sensor
node powered by harvesting RF energy from existing multiuser MIMO system.
Specifically,... | [
{
"created": "Wed, 21 May 2014 18:18:07 GMT",
"version": "v1"
}
] | 2014-05-22 | [
[
"Wu",
"Tianqing",
""
],
[
"Yang",
"Hong-Chuan",
""
]
] | RF energy harvesting is a promising potential solution to provide convenient and perpetual energy supplies to low-power wireless sensor networks. In this paper, we investigate the energy harvesting performance of a wireless sensor node powered by harvesting RF energy from existing multiuser MIMO system. Specifically, w... |
2106.01176 | Hossein Monshizadeh Naeen | Maliheh Roknizadeh, Hossein Monshizadeh Naeen | Hybrid Ensemble optimized algorithm based on Genetic Programming for
imbalanced data classification | 11 pages, 4 Tables, 7 Figures Accepted in Twelfth International
Conference on Information Technology, Computer and Telecommunications | null | null | null | cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | One of the most significant current discussions in the field of data mining
is classifying imbalanced data. In recent years, several ways are proposed such
as algorithm level (internal) approaches, data level (external) techniques, and
cost-sensitive methods. Although extensive research has been carried out on
imbala... | [
{
"created": "Wed, 2 Jun 2021 14:14:38 GMT",
"version": "v1"
}
] | 2021-06-03 | [
[
"Roknizadeh",
"Maliheh",
""
],
[
"Naeen",
"Hossein Monshizadeh",
""
]
] | One of the most significant current discussions in the field of data mining is classifying imbalanced data. In recent years, several ways are proposed such as algorithm level (internal) approaches, data level (external) techniques, and cost-sensitive methods. Although extensive research has been carried out on imbalanc... |
cs/0110038 | Paul Vitanyi | Joel Seiferas (University of Rochester) and Paul Vitanyi (CWI and
University of Amsterdam) | Counting is Easy | null | J. Seiferas and P.M.B. Vitanyi, Counting is easy, J. Assoc. Comp.
Mach. 35 (1988), pp. 985-1000 | null | null | cs.CC cs.DS | null | For any fixed $k$, a remarkably simple single-tape Turing machine can
simulate $k$ independent counters in real time. Informally, a counter is a
storage unit that maintains a single integer (initially 0), incrementing it,
decrementing it, or reporting its sign (positive, negative, or zero) on
command. Any automaton t... | [
{
"created": "Thu, 18 Oct 2001 13:21:01 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Seiferas",
"Joel",
"",
"University of Rochester"
],
[
"Vitanyi",
"Paul",
"",
"CWI and\n University of Amsterdam"
]
] | For any fixed $k$, a remarkably simple single-tape Turing machine can simulate $k$ independent counters in real time. Informally, a counter is a storage unit that maintains a single integer (initially 0), incrementing it, decrementing it, or reporting its sign (positive, negative, or zero) on command. Any automaton tha... |
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