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1801.01383
Sheng Zhang
Sheng Zhang, Bo Liao, and Fei Liao
Computation of Optimal Control Problems with Terminal Constraint via Variation Evolution
arXiv admin note: substantial text overlap with arXiv:1709.02242, arXiv:1712.09702, arXiv:1711.02998, arXiv:1703.10263
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enlightened from the inverse consideration of the stable continuous-time dynamics evolution, the Variation Evolving Method (VEM) analogizes the optimal solution to the equilibrium point of an infinite-dimensional dynamic system and solves it in an asymptotically evolving way. In this paper, the compact version of the...
[ { "created": "Tue, 2 Jan 2018 23:01:42 GMT", "version": "v1" } ]
2018-01-08
[ [ "Zhang", "Sheng", "" ], [ "Liao", "Bo", "" ], [ "Liao", "Fei", "" ] ]
Enlightened from the inverse consideration of the stable continuous-time dynamics evolution, the Variation Evolving Method (VEM) analogizes the optimal solution to the equilibrium point of an infinite-dimensional dynamic system and solves it in an asymptotically evolving way. In this paper, the compact version of the V...
2407.12710
Mohammad-Amin Charusaie
Mohammad-Amin Charusaie, Samira Samadi
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Learn-to-Defer is a paradigm that enables learning algorithms to work not in isolation but as a team with human experts. In this paradigm, we permit the system to defer a subset of its tasks to the expert. Although there are currently systems that follow this paradigm and are designed to optimize the accuracy of the ...
[ { "created": "Wed, 17 Jul 2024 16:32:30 GMT", "version": "v1" } ]
2024-07-18
[ [ "Charusaie", "Mohammad-Amin", "" ], [ "Samadi", "Samira", "" ] ]
Learn-to-Defer is a paradigm that enables learning algorithms to work not in isolation but as a team with human experts. In this paradigm, we permit the system to defer a subset of its tasks to the expert. Although there are currently systems that follow this paradigm and are designed to optimize the accuracy of the fi...
2006.11607
Marco Molinaro
Thomas Kesselheim and Marco Molinaro
Knapsack Secretary with Bursty Adversary
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The random-order or secretary model is one of the most popular beyond-worst case model for online algorithms. While it avoids the pessimism of the traditional adversarial model, in practice we cannot expect the input to be presented in perfectly random order. This has motivated research on ``best of both worlds'' (al...
[ { "created": "Sat, 20 Jun 2020 16:24:22 GMT", "version": "v1" } ]
2020-06-23
[ [ "Kesselheim", "Thomas", "" ], [ "Molinaro", "Marco", "" ] ]
The random-order or secretary model is one of the most popular beyond-worst case model for online algorithms. While it avoids the pessimism of the traditional adversarial model, in practice we cannot expect the input to be presented in perfectly random order. This has motivated research on ``best of both worlds'' (algo...
2111.09917
Davood Rafiei
Arif Hasnat, Davood Rafiei
Interactive Set Discovery
To appear in the Proceedings of the EDBT 2023 Conference
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
We study the problem of set discovery where given a few example tuples of a desired set, we want to find the set in a collection of sets. A challenge is that the example tuples may not uniquely identify a set, and a large number of candidate sets may be returned. Our focus is on interactive exploration to set discove...
[ { "created": "Thu, 18 Nov 2021 19:21:23 GMT", "version": "v1" }, { "created": "Mon, 3 Oct 2022 23:43:07 GMT", "version": "v2" } ]
2022-10-05
[ [ "Hasnat", "Arif", "" ], [ "Rafiei", "Davood", "" ] ]
We study the problem of set discovery where given a few example tuples of a desired set, we want to find the set in a collection of sets. A challenge is that the example tuples may not uniquely identify a set, and a large number of candidate sets may be returned. Our focus is on interactive exploration to set discovery...
2205.00033
Jakob Schoeffer
Jakob Schoeffer
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI '22 Extended Abstracts), April 29--May 5, 2022, New Orleans, LA, USA
null
10.1145/3491101.3503811
null
cs.AI cs.HC cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Automated decision systems (ADS) are increasingly used for consequential decision-making. These systems often rely on sophisticated yet opaque machine learning models, which do not allow for understanding how a given decision was arrived at. This is not only problematic from a legal perspective, but non-transparent s...
[ { "created": "Fri, 29 Apr 2022 18:31:04 GMT", "version": "v1" } ]
2022-05-03
[ [ "Schoeffer", "Jakob", "" ] ]
Automated decision systems (ADS) are increasingly used for consequential decision-making. These systems often rely on sophisticated yet opaque machine learning models, which do not allow for understanding how a given decision was arrived at. This is not only problematic from a legal perspective, but non-transparent sys...
2011.02574
Andrei Cramariuc
Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
null
Proceedings of the 4th Conference on Robot Learning (CoRL) 2020
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we present a novel approach to obtain favorable trajectories for visual-inertial system calibration, us...
[ { "created": "Wed, 4 Nov 2020 23:20:15 GMT", "version": "v1" } ]
2021-02-17
[ [ "Chen", "Le", "" ], [ "Ao", "Yunke", "" ], [ "Tschopp", "Florian", "" ], [ "Cramariuc", "Andrei", "" ], [ "Breyer", "Michel", "" ], [ "Chung", "Jen Jen", "" ], [ "Siegwart", "Roland", "" ], [ "Caden...
Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we present a novel approach to obtain favorable trajectories for visual-inertial system calibration, usin...
2402.18807
Chenglei Shen
Chenglei Shen and Guofu Xie and Xiao Zhang and Jun Xu
On the Decision-Making Abilities in Role-Playing using Large Language Models
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) are now increasingly utilized for role-playing tasks, especially in impersonating domain-specific experts, primarily through role-playing prompts. When interacting in real-world scenarios, the decision-making abilities of a role significantly shape its behavioral patterns. In this paper, ...
[ { "created": "Thu, 29 Feb 2024 02:22:23 GMT", "version": "v1" } ]
2024-03-01
[ [ "Shen", "Chenglei", "" ], [ "Xie", "Guofu", "" ], [ "Zhang", "Xiao", "" ], [ "Xu", "Jun", "" ] ]
Large language models (LLMs) are now increasingly utilized for role-playing tasks, especially in impersonating domain-specific experts, primarily through role-playing prompts. When interacting in real-world scenarios, the decision-making abilities of a role significantly shape its behavioral patterns. In this paper, we...
2208.07304
Di Wu
D. Wu
Vehicle-road Cooperative Simulation and 3D Visualization System
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The safety of single-vehicle autonomous driving technology is limited due to the limits of perception capability of on-board sensors. In contrast, vehicle-road collaboration technology can overcome those limits and improve the traffic safety and efficiency, by expanding the sensing range, improving the perception acc...
[ { "created": "Thu, 14 Jul 2022 04:53:54 GMT", "version": "v1" } ]
2022-08-16
[ [ "Wu", "D.", "" ] ]
The safety of single-vehicle autonomous driving technology is limited due to the limits of perception capability of on-board sensors. In contrast, vehicle-road collaboration technology can overcome those limits and improve the traffic safety and efficiency, by expanding the sensing range, improving the perception accur...
2210.02821
Igor Korkin
Denis Pogonin, Igor Korkin
Microsoft Defender Will Be Defended: MemoryRanger Prevents Blinding Windows AV
29 pages, 17 figures, 1 table, In Proceedings of the ADFSL 2022, USA
null
null
null
cs.CR cs.OS
http://creativecommons.org/licenses/by/4.0/
Windows OS is facing a huge rise in kernel attacks. An overview of popular techniques that result in loading kernel drivers will be presented. One of the key targets of modern threats is disabling and blinding Microsoft Defender, a default Windows AV. The analysis of recent driver-based attacks will be given, the cha...
[ { "created": "Thu, 6 Oct 2022 11:25:05 GMT", "version": "v1" } ]
2022-10-07
[ [ "Pogonin", "Denis", "" ], [ "Korkin", "Igor", "" ] ]
Windows OS is facing a huge rise in kernel attacks. An overview of popular techniques that result in loading kernel drivers will be presented. One of the key targets of modern threats is disabling and blinding Microsoft Defender, a default Windows AV. The analysis of recent driver-based attacks will be given, the chall...
1304.3179
Seok-Hwan Park
Seok-Hwan Park, Osvaldo Simeone, Onur Sahin and Shlomo Shamai (Shitz)
Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks
Submitted to IEEE Transactions on Signal Processing
null
10.1109/TSP.2013.2280111
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work studies the joint design of precoding and backhaul compression strategies for the downlink of cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via finite-capacity backhaul links. At the central encoder, precoding is followed by compr...
[ { "created": "Thu, 11 Apr 2013 02:15:18 GMT", "version": "v1" } ]
2015-06-15
[ [ "Park", "Seok-Hwan", "", "Shitz" ], [ "Simeone", "Osvaldo", "", "Shitz" ], [ "Sahin", "Onur", "", "Shitz" ], [ "Shamai", "Shlomo", "", "Shitz" ] ]
This work studies the joint design of precoding and backhaul compression strategies for the downlink of cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via finite-capacity backhaul links. At the central encoder, precoding is followed by compres...
2310.12727
Johann-Mattis List
Johann-Mattis List, Nathan W. Hill, Robert Forkel, Frederic Blum
Representing and Computing Uncertainty in Phonological Reconstruction
To appear in: Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Despite the inherently fuzzy nature of reconstructions in historical linguistics, most scholars do not represent their uncertainty when proposing proto-forms. With the increasing success of recently proposed approaches to automating certain aspects of the traditional comparative method, the formal representation of p...
[ { "created": "Thu, 19 Oct 2023 13:27:42 GMT", "version": "v1" } ]
2023-10-20
[ [ "List", "Johann-Mattis", "" ], [ "Hill", "Nathan W.", "" ], [ "Forkel", "Robert", "" ], [ "Blum", "Frederic", "" ] ]
Despite the inherently fuzzy nature of reconstructions in historical linguistics, most scholars do not represent their uncertainty when proposing proto-forms. With the increasing success of recently proposed approaches to automating certain aspects of the traditional comparative method, the formal representation of pro...
1801.05768
Zhen Chen
Zhen Chen, Zhiying Wang and Syed Jafar
The Asymptotic Capacity of Private Search
null
null
null
null
cs.IT cs.CR cs.DS math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The private search problem is introduced, where a dataset comprised of $L$ i.i.d. records is replicated across $N$ non-colluding servers, each record takes values uniformly from an alphabet of size $K$, and a user wishes to search for all records that match a privately chosen value, without revealing any information ...
[ { "created": "Fri, 12 Jan 2018 05:29:38 GMT", "version": "v1" }, { "created": "Thu, 18 Jan 2018 18:17:36 GMT", "version": "v2" } ]
2018-01-19
[ [ "Chen", "Zhen", "" ], [ "Wang", "Zhiying", "" ], [ "Jafar", "Syed", "" ] ]
The private search problem is introduced, where a dataset comprised of $L$ i.i.d. records is replicated across $N$ non-colluding servers, each record takes values uniformly from an alphabet of size $K$, and a user wishes to search for all records that match a privately chosen value, without revealing any information ab...
2403.01157
Lorenz Graf-Vlachy
Lorenz Graf-Vlachy, Stefan Wagner
Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality
null
7th International Conference on Technical Debt (TechDebt) 2024
10.1145/3644384.3644475
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Background: The "Technical Debt Dataset" (TDD) is a comprehensive dataset on technical debt (TD) in the main branches of more than 30 Java projects. However, some TD items produced by SonarQube are not included for many commits, for instance because the commits failed to compile. This has limited previous studies usi...
[ { "created": "Sat, 2 Mar 2024 10:11:07 GMT", "version": "v1" } ]
2024-03-05
[ [ "Graf-Vlachy", "Lorenz", "" ], [ "Wagner", "Stefan", "" ] ]
Background: The "Technical Debt Dataset" (TDD) is a comprehensive dataset on technical debt (TD) in the main branches of more than 30 Java projects. However, some TD items produced by SonarQube are not included for many commits, for instance because the commits failed to compile. This has limited previous studies using...
1411.7191
S{\o}ren Dahlgaard
S{\o}ren Dahlgaard, Mathias B{\ae}k Tejs Knudsen, Eva Rotenberg, Mikkel Thorup
Hashing for statistics over k-partitions
Appear at FOCS'15
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we analyze a hash function for $k$-partitioning a set into bins, obtaining strong concentration bounds for standard algorithms combining statistics from each bin. This generic method was originally introduced by Flajolet and Martin~[FOCS'83] in order to save a factor $\Omega(k)$ of time per element ov...
[ { "created": "Wed, 26 Nov 2014 11:36:15 GMT", "version": "v1" }, { "created": "Sun, 26 Apr 2015 14:27:46 GMT", "version": "v2" }, { "created": "Mon, 15 Feb 2016 16:06:53 GMT", "version": "v3" } ]
2016-02-16
[ [ "Dahlgaard", "Søren", "" ], [ "Knudsen", "Mathias Bæk Tejs", "" ], [ "Rotenberg", "Eva", "" ], [ "Thorup", "Mikkel", "" ] ]
In this paper we analyze a hash function for $k$-partitioning a set into bins, obtaining strong concentration bounds for standard algorithms combining statistics from each bin. This generic method was originally introduced by Flajolet and Martin~[FOCS'83] in order to save a factor $\Omega(k)$ of time per element over $...
2201.12489
Zhijian Duan
Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
A Context-Integrated Transformer-Based Neural Network for Auction Design
Accepted by ICML 2022. Code is available at https://github.com/zjduan/CITransNet
null
null
null
cs.GT cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the central problems in auction design is developing an incentive-compatible mechanism that maximizes the auctioneer's expected revenue. While theoretical approaches have encountered bottlenecks in multi-item auctions, recently, there has been much progress on finding the optimal mechanism through deep learnin...
[ { "created": "Sat, 29 Jan 2022 03:47:00 GMT", "version": "v1" }, { "created": "Wed, 22 Jun 2022 07:34:51 GMT", "version": "v2" }, { "created": "Sun, 22 Jan 2023 07:26:18 GMT", "version": "v3" } ]
2023-01-24
[ [ "Duan", "Zhijian", "" ], [ "Tang", "Jingwu", "" ], [ "Yin", "Yutong", "" ], [ "Feng", "Zhe", "" ], [ "Yan", "Xiang", "" ], [ "Zaheer", "Manzil", "" ], [ "Deng", "Xiaotie", "" ] ]
One of the central problems in auction design is developing an incentive-compatible mechanism that maximizes the auctioneer's expected revenue. While theoretical approaches have encountered bottlenecks in multi-item auctions, recently, there has been much progress on finding the optimal mechanism through deep learning....
1906.09962
Richard Olaniyan
Muthucumaru Maheswaran, Robert Wenger, Richard Olaniyan, Salman Memon, Olamilekan Fadahunsi and Richboy Echomgbe
A Language for Programming Edge Clouds for Next Generation IoT Applications
22 pages, 9 figures, journal
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For effective use of edge computing in an IoT application, we need to partition the application into tasks and map them into the cloud, fog (edge server), device levels such that the resources at the different levels are optimally used to meet the overall quality of service requirements. In this paper, we consider fo...
[ { "created": "Fri, 21 Jun 2019 01:33:55 GMT", "version": "v1" } ]
2019-06-25
[ [ "Maheswaran", "Muthucumaru", "" ], [ "Wenger", "Robert", "" ], [ "Olaniyan", "Richard", "" ], [ "Memon", "Salman", "" ], [ "Fadahunsi", "Olamilekan", "" ], [ "Echomgbe", "Richboy", "" ] ]
For effective use of edge computing in an IoT application, we need to partition the application into tasks and map them into the cloud, fog (edge server), device levels such that the resources at the different levels are optimally used to meet the overall quality of service requirements. In this paper, we consider four...
1711.08534
William Wang
William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel
Safer Classification by Synthesis
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields. Complementing recent reservations about safety against adversarial examples, we show that conventional discriminative methods can easily be fooled to provide incorrect labels with very high con...
[ { "created": "Wed, 22 Nov 2017 23:32:20 GMT", "version": "v1" }, { "created": "Mon, 23 Jul 2018 23:47:59 GMT", "version": "v2" } ]
2018-07-25
[ [ "Wang", "William", "" ], [ "Wang", "Angelina", "" ], [ "Tamar", "Aviv", "" ], [ "Chen", "Xi", "" ], [ "Abbeel", "Pieter", "" ] ]
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields. Complementing recent reservations about safety against adversarial examples, we show that conventional discriminative methods can easily be fooled to provide incorrect labels with very high confi...
2404.00962
Haokai Hong
Haokai Hong, Wanyu Lin, and Kay Chen Tan
Diffusion-Driven Domain Adaptation for Generating 3D Molecules
11 pages, 3 figures, and 3 tables
null
null
null
cs.LG physics.chem-ph q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Can we train a molecule generator that can generate 3D molecules from a new domain, circumventing the need to collect data? This problem can be cast as the problem of domain adaptive molecule generation. This work presents a novel and principled diffusion-based approach, called GADM, that allows shifting a generative...
[ { "created": "Mon, 1 Apr 2024 07:12:27 GMT", "version": "v1" } ]
2024-04-02
[ [ "Hong", "Haokai", "" ], [ "Lin", "Wanyu", "" ], [ "Tan", "Kay Chen", "" ] ]
Can we train a molecule generator that can generate 3D molecules from a new domain, circumventing the need to collect data? This problem can be cast as the problem of domain adaptive molecule generation. This work presents a novel and principled diffusion-based approach, called GADM, that allows shifting a generative m...
2107.14551
Thilanka Munasinghe
Thilanka Munasinghe, HR Pasindu
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka
4 pages, KDD Workshop on Data-driven Humanitarian Mapping held with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14, 2021
null
null
null
cs.CY cs.DC cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose how a developing country like Sri Lanka can benefit from privacy-enabled machine learning techniques such as Federated Learning to detect road conditions using crowd-sourced data collection and proposed the idea of implementing a Digital Twin for the national road system in Sri Lanka. Developing countries ...
[ { "created": "Fri, 30 Jul 2021 11:06:32 GMT", "version": "v1" } ]
2021-08-02
[ [ "Munasinghe", "Thilanka", "" ], [ "Pasindu", "HR", "" ] ]
We propose how a developing country like Sri Lanka can benefit from privacy-enabled machine learning techniques such as Federated Learning to detect road conditions using crowd-sourced data collection and proposed the idea of implementing a Digital Twin for the national road system in Sri Lanka. Developing countries su...
2005.12662
Zihao Wang
Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Herv\'e Delingette
A Deep Learning based Fast Signed Distance Map Generation
null
null
null
MIDL/2020/ExtendedAbstract/b2N5ZuEouu
cs.GR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Signed distance map (SDM) is a common representation of surfaces in medical image analysis and machine learning. The computational complexity of SDM for 3D parametric shapes is often a bottleneck in many applications, thus limiting their interest. In this paper, we propose a learning based SDM generation neural netwo...
[ { "created": "Tue, 26 May 2020 12:36:19 GMT", "version": "v1" } ]
2022-12-01
[ [ "Wang", "Zihao", "" ], [ "Vandersteen", "Clair", "" ], [ "Demarcy", "Thomas", "" ], [ "Gnansia", "Dan", "" ], [ "Raffaelli", "Charles", "" ], [ "Guevara", "Nicolas", "" ], [ "Delingette", "Hervé", "" ] ]
Signed distance map (SDM) is a common representation of surfaces in medical image analysis and machine learning. The computational complexity of SDM for 3D parametric shapes is often a bottleneck in many applications, thus limiting their interest. In this paper, we propose a learning based SDM generation neural network...
2308.04798
Qiushi Guo
Qiushi Guo
Enhancing Mobile Privacy and Security: A Face Skin Patch-Based Anti-Spoofing Approach
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As Facial Recognition System(FRS) is widely applied in areas such as access control and mobile payments due to its convenience and high accuracy. The security of facial recognition is also highly regarded. The Face anti-spoofing system(FAS) for face recognition is an important component used to enhance the security o...
[ { "created": "Wed, 9 Aug 2023 08:36:13 GMT", "version": "v1" } ]
2023-08-10
[ [ "Guo", "Qiushi", "" ] ]
As Facial Recognition System(FRS) is widely applied in areas such as access control and mobile payments due to its convenience and high accuracy. The security of facial recognition is also highly regarded. The Face anti-spoofing system(FAS) for face recognition is an important component used to enhance the security of ...
1503.01416
Bulent Abali
Bulent Abali, Richard J. Eickemeyer, Hubertus Franke, Chung-Sheng Li, Marc A. Taubenblatt
Disaggregated and optically interconnected memory: when will it be cost effective?
9 pages, 7 figures
null
null
null
cs.DC cs.AR cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The "Disaggregated Server" concept has been proposed for datacenters where the same type server resources are aggregated in their respective pools, for example a compute pool, memory pool, network pool, and a storage pool. Each server is constructed dynamically by allocating the right amount of resources from these p...
[ { "created": "Tue, 3 Mar 2015 18:38:33 GMT", "version": "v1" } ]
2015-03-09
[ [ "Abali", "Bulent", "" ], [ "Eickemeyer", "Richard J.", "" ], [ "Franke", "Hubertus", "" ], [ "Li", "Chung-Sheng", "" ], [ "Taubenblatt", "Marc A.", "" ] ]
The "Disaggregated Server" concept has been proposed for datacenters where the same type server resources are aggregated in their respective pools, for example a compute pool, memory pool, network pool, and a storage pool. Each server is constructed dynamically by allocating the right amount of resources from these poo...
2011.07778
Ji Woong Kim
Ji Woong Kim, Peiyao Zhang, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
Accepted to Conference on Robot Learning (CoRL) 2020
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
During retinal microsurgery, precise manipulation of the delicate retinal tissue is required for positive surgical outcome. However, accurate manipulation and navigation of surgical tools remain difficult due to a constrained workspace and the top-down view during the surgery, which limits the surgeon's ability to es...
[ { "created": "Mon, 16 Nov 2020 08:20:16 GMT", "version": "v1" } ]
2020-11-17
[ [ "Kim", "Ji Woong", "" ], [ "Zhang", "Peiyao", "" ], [ "Gehlbach", "Peter", "" ], [ "Iordachita", "Iulian", "" ], [ "Kobilarov", "Marin", "" ] ]
During retinal microsurgery, precise manipulation of the delicate retinal tissue is required for positive surgical outcome. However, accurate manipulation and navigation of surgical tools remain difficult due to a constrained workspace and the top-down view during the surgery, which limits the surgeon's ability to esti...
2106.05825
Mohammad Samavatian
Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
null
Secure and Private Systems for Machine Learning Workshop 2021
null
null
cs.CR cs.AR cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep Neural Networks (DNNs) are employed in an increasing number of applications, some of which are safety critical. Unfortunately, DNNs are known to be vulnerable to so-called adversarial attacks that manipulate inputs to cause incorrect results that can be beneficial to an attacker or damaging to the victim. Multip...
[ { "created": "Wed, 9 Jun 2021 14:31:28 GMT", "version": "v1" }, { "created": "Thu, 15 Jul 2021 14:01:49 GMT", "version": "v2" }, { "created": "Fri, 6 Aug 2021 16:03:11 GMT", "version": "v3" } ]
2021-09-29
[ [ "Samavatian", "Mohammad Hossein", "" ], [ "Majumdar", "Saikat", "" ], [ "Barber", "Kristin", "" ], [ "Teodorescu", "Radu", "" ] ]
Deep Neural Networks (DNNs) are employed in an increasing number of applications, some of which are safety critical. Unfortunately, DNNs are known to be vulnerable to so-called adversarial attacks that manipulate inputs to cause incorrect results that can be beneficial to an attacker or damaging to the victim. Multiple...
1303.5723
Daniel Hunter
Daniel Hunter
Non-monotonic Reasoning and the Reversibility of Belief Change
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
null
null
UAI-P-1991-PG-159-164
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional approaches to non-monotonic reasoning fail to satisfy a number of plausible axioms for belief revision and suffer from conceptual difficulties as well. Recent work on ranked preferential models (RPMs) promises to overcome some of these difficulties. Here we show that RPMs are not adequate to handle iterat...
[ { "created": "Wed, 20 Mar 2013 15:31:06 GMT", "version": "v1" } ]
2013-03-26
[ [ "Hunter", "Daniel", "" ] ]
Traditional approaches to non-monotonic reasoning fail to satisfy a number of plausible axioms for belief revision and suffer from conceptual difficulties as well. Recent work on ranked preferential models (RPMs) promises to overcome some of these difficulties. Here we show that RPMs are not adequate to handle iterated...
1709.05374
Frank Ong
Frank Ong, Joseph Cheng, and Michael Lustig
General Phase Regularized Reconstruction using Phase Cycling
null
null
null
null
cs.CV physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: The problem of enforcing phase constraints in reconstruction was studied under a regularized inverse problem framework. A general phase r...
[ { "created": "Fri, 15 Sep 2017 19:17:13 GMT", "version": "v1" } ]
2017-09-26
[ [ "Ong", "Frank", "" ], [ "Cheng", "Joseph", "" ], [ "Lustig", "Michael", "" ] ]
Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: The problem of enforcing phase constraints in reconstruction was studied under a regularized inverse problem framework. A general phase regul...
2012.07175
Chuqing Hu
Lang Su, Chuqing Hu, Guofa Li, Dongpu Cao
MSAF: Multimodal Split Attention Fusion
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal learning mimics the reasoning process of the human multi-sensory system, which is used to perceive the surrounding world. While making a prediction, the human brain tends to relate crucial cues from multiple sources of information. In this work, we propose a novel multimodal fusion module that learns to em...
[ { "created": "Sun, 13 Dec 2020 22:42:41 GMT", "version": "v1" }, { "created": "Sat, 26 Jun 2021 14:24:23 GMT", "version": "v2" } ]
2021-06-29
[ [ "Su", "Lang", "" ], [ "Hu", "Chuqing", "" ], [ "Li", "Guofa", "" ], [ "Cao", "Dongpu", "" ] ]
Multimodal learning mimics the reasoning process of the human multi-sensory system, which is used to perceive the surrounding world. While making a prediction, the human brain tends to relate crucial cues from multiple sources of information. In this work, we propose a novel multimodal fusion module that learns to emph...
1301.3299
Wanwei Liu
Wanwei Liu and Rui Wang and Xianjin Fu and Ji Wang and Wei Dong and Xiaoguang Mao
Counterexample-Preserving Reduction for Symbolic Model Checking
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The cost of LTL model checking is highly sensitive to the length of the formula under verification. We observe that, under some specific conditions, the input LTL formula can be reduced to an easier-to-handle one before model checking. In our reduction, these two formulae need not to be logically equivalent, but they...
[ { "created": "Tue, 15 Jan 2013 10:53:51 GMT", "version": "v1" } ]
2013-01-16
[ [ "Liu", "Wanwei", "" ], [ "Wang", "Rui", "" ], [ "Fu", "Xianjin", "" ], [ "Wang", "Ji", "" ], [ "Dong", "Wei", "" ], [ "Mao", "Xiaoguang", "" ] ]
The cost of LTL model checking is highly sensitive to the length of the formula under verification. We observe that, under some specific conditions, the input LTL formula can be reduced to an easier-to-handle one before model checking. In our reduction, these two formulae need not to be logically equivalent, but they s...
1701.01717
Joshua Grochow
Joshua A. Grochow and Mrinal Kumar and Michael Saks and Shubhangi Saraf
Towards an algebraic natural proofs barrier via polynomial identity testing
null
null
null
null
cs.CC math.AG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We observe that a certain kind of algebraic proof - which covers essentially all known algebraic circuit lower bounds to date - cannot be used to prove lower bounds against VP if and only if what we call succinct hitting sets exist for VP. This is analogous to the Razborov-Rudich natural proofs barrier in Boolean cir...
[ { "created": "Fri, 6 Jan 2017 18:27:48 GMT", "version": "v1" } ]
2017-01-09
[ [ "Grochow", "Joshua A.", "" ], [ "Kumar", "Mrinal", "" ], [ "Saks", "Michael", "" ], [ "Saraf", "Shubhangi", "" ] ]
We observe that a certain kind of algebraic proof - which covers essentially all known algebraic circuit lower bounds to date - cannot be used to prove lower bounds against VP if and only if what we call succinct hitting sets exist for VP. This is analogous to the Razborov-Rudich natural proofs barrier in Boolean circu...
2406.19589
Luke Dzwonczyk
Luke Dzwonczyk and Carmine Emanuele Cella and David Ban
Network Bending of Diffusion Models for Audio-Visual Generation
8 pages, 5 figures, to be published in the proceedings of the 27th International Conference on Digital Audio Effects (DAFx24), for additional image and video examples see https://dzluke.github.io/DAFX2024/
null
null
null
cs.SD cs.LG cs.MM eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper we present the first steps towards the creation of a tool which enables artists to create music visualizations using pre-trained, generative, machine learning models. First, we investigate the application of network bending, the process of applying transforms within the layers of a generative network, t...
[ { "created": "Fri, 28 Jun 2024 00:39:17 GMT", "version": "v1" } ]
2024-07-01
[ [ "Dzwonczyk", "Luke", "" ], [ "Cella", "Carmine Emanuele", "" ], [ "Ban", "David", "" ] ]
In this paper we present the first steps towards the creation of a tool which enables artists to create music visualizations using pre-trained, generative, machine learning models. First, we investigate the application of network bending, the process of applying transforms within the layers of a generative network, to ...
2108.09897
Khoi Nguyen
Khoi Nguyen, Sinisa Todorovic
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation
Accepted to ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper addresses weakly supervised amodal instance segmentation, where the goal is to segment both visible and occluded (amodal) object parts, while training provides only ground-truth visible (modal) segmentations. Following prior work, we use data manipulation to generate occlusions in training images and thus ...
[ { "created": "Mon, 23 Aug 2021 02:27:29 GMT", "version": "v1" }, { "created": "Mon, 30 Aug 2021 02:17:00 GMT", "version": "v2" } ]
2021-09-01
[ [ "Nguyen", "Khoi", "" ], [ "Todorovic", "Sinisa", "" ] ]
This paper addresses weakly supervised amodal instance segmentation, where the goal is to segment both visible and occluded (amodal) object parts, while training provides only ground-truth visible (modal) segmentations. Following prior work, we use data manipulation to generate occlusions in training images and thus tr...
2211.05627
Alexander K\"uchler
Alexander K\"uchler and Christian Banse
Representing LLVM-IR in a Code Property Graph
null
Information Security (ISC) 2022
10.1007/978-3-031-22390-7_21
null
cs.SE cs.CR cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the past years, a number of static application security testing tools have been proposed which make use of so-called code property graphs, a graph model which keeps rich information about the source code while enabling its user to write language-agnostic analyses. However, they suffer from several shortcomings. Th...
[ { "created": "Wed, 9 Nov 2022 09:37:30 GMT", "version": "v1" }, { "created": "Fri, 9 Dec 2022 07:00:31 GMT", "version": "v2" } ]
2022-12-12
[ [ "Küchler", "Alexander", "" ], [ "Banse", "Christian", "" ] ]
In the past years, a number of static application security testing tools have been proposed which make use of so-called code property graphs, a graph model which keeps rich information about the source code while enabling its user to write language-agnostic analyses. However, they suffer from several shortcomings. They...
2302.10257
Md Ibrahim
Moloy Kumar Ghosh, Milton Kumar Kundu, Md Ibrahim, A. S. M. Badrudduza, Md. Shamim Anower, Imran Shafique Ansari, Ali A. Shaikhi, Mohammed A. Mohandes
Secrecy Outage Analysis of Energy Harvesting Relay-based Mixed UOWC-RF Network with Multiple Eavesdroppers
No
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
This work deals with the physical layer security performance of a dual-hop underwater optical communication (UOWC)-radio frequency (RF) network under the intruding attempts of multiple eavesdroppers via RF links. The intermediate decode and forward relay node between the underwater source and the destination transfor...
[ { "created": "Mon, 20 Feb 2023 19:40:40 GMT", "version": "v1" } ]
2023-02-22
[ [ "Ghosh", "Moloy Kumar", "" ], [ "Kundu", "Milton Kumar", "" ], [ "Ibrahim", "Md", "" ], [ "Badrudduza", "A. S. M.", "" ], [ "Anower", "Md. Shamim", "" ], [ "Ansari", "Imran Shafique", "" ], [ "Shaikhi", "Ali A....
This work deals with the physical layer security performance of a dual-hop underwater optical communication (UOWC)-radio frequency (RF) network under the intruding attempts of multiple eavesdroppers via RF links. The intermediate decode and forward relay node between the underwater source and the destination transforms...
2202.12855
Krishnasuri Narayanam
Krishnasuri Narayanam, Venkatraman Ramakrishna, Dhinakaran Vinayagamurthy and Sandeep Nishad
Atomic cross-chain exchanges of shared assets
null
null
10.1145/3558535.3559786
null
cs.CR cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
A core enabler for blockchain or DLT interoperability is the ability to atomically exchange assets held by mutually untrusting owners on different ledgers. This atomic swap problem has been well-studied, with the Hash Time Locked Contract (HTLC) emerging as a canonical solution. HTLC ensures atomicity of exchange, al...
[ { "created": "Fri, 25 Feb 2022 18:04:30 GMT", "version": "v1" }, { "created": "Tue, 31 May 2022 12:33:04 GMT", "version": "v2" }, { "created": "Sat, 10 Sep 2022 19:50:03 GMT", "version": "v3" } ]
2022-09-13
[ [ "Narayanam", "Krishnasuri", "" ], [ "Ramakrishna", "Venkatraman", "" ], [ "Vinayagamurthy", "Dhinakaran", "" ], [ "Nishad", "Sandeep", "" ] ]
A core enabler for blockchain or DLT interoperability is the ability to atomically exchange assets held by mutually untrusting owners on different ledgers. This atomic swap problem has been well-studied, with the Hash Time Locked Contract (HTLC) emerging as a canonical solution. HTLC ensures atomicity of exchange, albe...
1902.06914
Adil Rajput
Adil E. Rajput, Akila Sarirete and Tamer F. Desouky
Using Crowdsourcing to Identify a Proxy of Socio-Economic status
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Social Media provides researchers with an unprecedented opportunity to gain insight into various facets of human life. Health practitioners put a great emphasis on pinpointing socioeconomic status (SES) of individuals as they can use to it to predict certain diseases. Crowdsourcing is a term coined that entails gathe...
[ { "created": "Tue, 19 Feb 2019 06:25:23 GMT", "version": "v1" } ]
2019-02-20
[ [ "Rajput", "Adil E.", "" ], [ "Sarirete", "Akila", "" ], [ "Desouky", "Tamer F.", "" ] ]
Social Media provides researchers with an unprecedented opportunity to gain insight into various facets of human life. Health practitioners put a great emphasis on pinpointing socioeconomic status (SES) of individuals as they can use to it to predict certain diseases. Crowdsourcing is a term coined that entails gatheri...
2407.05461
Mohamed Elmahallawy
Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
The adoption of connected and automated vehicles (CAVs) has sparked considerable interest across diverse industries, including public transportation, underground mining, and agriculture sectors. However, CAVs' reliance on sensor readings makes them vulnerable to significant threats. Manipulating these readings can co...
[ { "created": "Sun, 7 Jul 2024 18:19:03 GMT", "version": "v1" } ]
2024-07-09
[ [ "Rahman", "Md Sazedur", "" ], [ "Elmahallawy", "Mohamed", "" ], [ "Madria", "Sanjay", "" ], [ "Frimpong", "Samuel", "" ] ]
The adoption of connected and automated vehicles (CAVs) has sparked considerable interest across diverse industries, including public transportation, underground mining, and agriculture sectors. However, CAVs' reliance on sensor readings makes them vulnerable to significant threats. Manipulating these readings can comp...
1809.08613
Namiko Saito
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata and Shigeki Sugano
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
7 pages, 9 figures
null
null
null
cs.RO cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a tool-use model that can detect the features of tools, target objects, and actions from the provided effects of object manipulation. We construct a model that enables robots to manipulate objects with tools, using infant learning as a concept. To realize this, we train sensory-motor data recorded during a...
[ { "created": "Sun, 23 Sep 2018 15:24:21 GMT", "version": "v1" } ]
2018-09-25
[ [ "Saito", "Namiko", "" ], [ "Kim", "Kitae", "" ], [ "Murata", "Shingo", "" ], [ "Ogata", "Tetsuya", "" ], [ "Sugano", "Shigeki", "" ] ]
We propose a tool-use model that can detect the features of tools, target objects, and actions from the provided effects of object manipulation. We construct a model that enables robots to manipulate objects with tools, using infant learning as a concept. To realize this, we train sensory-motor data recorded during a t...
2004.12480
Najma Mathema
Najma Mathema, Michael A. Goodrich, and Jacob W. Crandall
Predicting Plans and Actions in Two-Player Repeated Games
Accepted in The AAAI 2020 Workshop on Plan, Activity, and Intent Recognition
null
null
null
cs.AI cs.GT cs.HC cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial intelligence (AI) agents will need to interact with both other AI agents and humans. Creating models of associates help to predict the modeled agents' actions, plans, and intentions. This work introduces algorithms that predict actions, plans and intentions in repeated play games, with providing an explora...
[ { "created": "Sun, 26 Apr 2020 21:03:28 GMT", "version": "v1" } ]
2020-04-28
[ [ "Mathema", "Najma", "" ], [ "Goodrich", "Michael A.", "" ], [ "Crandall", "Jacob W.", "" ] ]
Artificial intelligence (AI) agents will need to interact with both other AI agents and humans. Creating models of associates help to predict the modeled agents' actions, plans, and intentions. This work introduces algorithms that predict actions, plans and intentions in repeated play games, with providing an explorati...
2004.10596
Amit Saha
Arpita Sanyal (Bhaduri), Amit Saha, Debasri Saha, Banani Saha and Amlan Chakrabarti
Circuit Design for Clique Problem and Its Implementation on Quantum Computer
25 pages, 18 figures. arXiv admin note: text overlap with arXiv:1805.10224 by other authors
IET Quantum Communication, 2021
10.1049/qtc2.12029
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Finding cliques in a graph has several applications for its pattern matching ability. $k$-clique problem, a special case of clique problem, determines whether an arbitrary graph contains a clique of size $k$, has already been addressed in quantum domain. A variant of $k$-clique problem that lists all cliques of size ...
[ { "created": "Tue, 10 Mar 2020 04:29:35 GMT", "version": "v1" }, { "created": "Fri, 15 Jan 2021 11:03:36 GMT", "version": "v2" }, { "created": "Wed, 20 Jan 2021 18:20:17 GMT", "version": "v3" }, { "created": "Wed, 7 Jul 2021 18:59:30 GMT", "version": "v4" } ]
2022-02-23
[ [ "Sanyal", "Arpita", "", "Bhaduri" ], [ "Saha", "Amit", "" ], [ "Saha", "Debasri", "" ], [ "Saha", "Banani", "" ], [ "Chakrabarti", "Amlan", "" ] ]
Finding cliques in a graph has several applications for its pattern matching ability. $k$-clique problem, a special case of clique problem, determines whether an arbitrary graph contains a clique of size $k$, has already been addressed in quantum domain. A variant of $k$-clique problem that lists all cliques of size $k...
2105.14835
Christoph Hertrich
Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella
Towards Lower Bounds on the Depth of ReLU Neural Networks
Authors' accepted manuscript for SIAM Journal on Discrete Mathematics. A preliminary conference version appeared at NeurIPS 2021
SIAM Journal on Discrete Mathematics 2023 37:2, 997-1029
10.1137/22M1489332
null
cs.LG cs.DM cs.NE math.CO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We contribute to a better understanding of the class of functions that can be represented by a neural network with ReLU activations and a given architecture. Using techniques from mixed-integer optimization, polyhedral theory, and tropical geometry, we provide a mathematical counterbalance to the universal approximat...
[ { "created": "Mon, 31 May 2021 09:49:14 GMT", "version": "v1" }, { "created": "Tue, 26 Oct 2021 08:46:28 GMT", "version": "v2" }, { "created": "Fri, 7 Jan 2022 16:15:27 GMT", "version": "v3" }, { "created": "Thu, 16 Mar 2023 16:22:13 GMT", "version": "v4" }, { "cr...
2024-07-18
[ [ "Hertrich", "Christoph", "" ], [ "Basu", "Amitabh", "" ], [ "Di Summa", "Marco", "" ], [ "Skutella", "Martin", "" ] ]
We contribute to a better understanding of the class of functions that can be represented by a neural network with ReLU activations and a given architecture. Using techniques from mixed-integer optimization, polyhedral theory, and tropical geometry, we provide a mathematical counterbalance to the universal approximatio...
2302.02083
Michal Kosinski
Michal Kosinski
Evaluating Large Language Models in Theory of Mind Tasks
TRY RUNNING ToM EXPERIMENTS ON YOUR OWN: The code and tasks used in this study are available at Colab (https://colab.research.google.com/drive/1ZRtmw87CdA4xp24DNS_Ik_uA2ypaRnoU). Don't worry if you are not an expert coder, you should be able to run this code with no-to-minimum Python skills. Or copy-paste the t...
null
null
null
cs.CL cs.CY cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
Eleven Large Language Models (LLMs) were assessed using a custom-made battery of false-belief tasks, considered a gold standard in testing Theory of Mind (ToM) in humans. The battery included 640 prompts spread across 40 diverse tasks, each one including a false-belief scenario, three closely matched true-belief cont...
[ { "created": "Sat, 4 Feb 2023 03:50:01 GMT", "version": "v1" }, { "created": "Fri, 10 Feb 2023 19:01:49 GMT", "version": "v2" }, { "created": "Tue, 14 Mar 2023 18:49:26 GMT", "version": "v3" }, { "created": "Tue, 29 Aug 2023 14:55:37 GMT", "version": "v4" }, { "cr...
2024-02-20
[ [ "Kosinski", "Michal", "" ] ]
Eleven Large Language Models (LLMs) were assessed using a custom-made battery of false-belief tasks, considered a gold standard in testing Theory of Mind (ToM) in humans. The battery included 640 prompts spread across 40 diverse tasks, each one including a false-belief scenario, three closely matched true-belief contro...
2404.11209
Hongzhao Li
Hongzhao Li, Hongyu Wang, Xia Sun, Hua He, Jun Feng
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM
Accepted by IEEE Conference on Multimedia Expo 2024
null
null
null
cs.AI cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical report generation automates radiology descriptions from images, easing the burden on physicians and minimizing errors. However, current methods lack structured outputs and physician interactivity for clear, clinically relevant reports. Our method introduces a prompt-guided approach to generate structured ches...
[ { "created": "Wed, 17 Apr 2024 09:45:43 GMT", "version": "v1" } ]
2024-04-18
[ [ "Li", "Hongzhao", "" ], [ "Wang", "Hongyu", "" ], [ "Sun", "Xia", "" ], [ "He", "Hua", "" ], [ "Feng", "Jun", "" ] ]
Medical report generation automates radiology descriptions from images, easing the burden on physicians and minimizing errors. However, current methods lack structured outputs and physician interactivity for clear, clinically relevant reports. Our method introduces a prompt-guided approach to generate structured chest ...
2207.00477
Yang Xing
Karan Kheta, Claire Delgove, Ruolin Liu, Adeola Aderogba, Marc-Olivier Pokam, Muhammed Mehmet Unal, Yang Xing, Weisi Guo
Vision-based Conflict Detection within Crowds based on High-Resolution Human Pose Estimation for Smart and Safe Airport
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Future airports are becoming more complex and congested with the increasing number of travellers. While the airports are more likely to become hotspots for potential conflicts to break out which can cause serious delays to flights and several safety issues. An intelligent algorithm which renders security surveillance...
[ { "created": "Fri, 1 Jul 2022 14:54:12 GMT", "version": "v1" } ]
2022-07-04
[ [ "Kheta", "Karan", "" ], [ "Delgove", "Claire", "" ], [ "Liu", "Ruolin", "" ], [ "Aderogba", "Adeola", "" ], [ "Pokam", "Marc-Olivier", "" ], [ "Unal", "Muhammed Mehmet", "" ], [ "Xing", "Yang", "" ], [ ...
Future airports are becoming more complex and congested with the increasing number of travellers. While the airports are more likely to become hotspots for potential conflicts to break out which can cause serious delays to flights and several safety issues. An intelligent algorithm which renders security surveillance m...
1808.03387
Janardan Misra
Janardan Misra
Computational Complexity of Observing Evolution in Artificial-Life Forms
arXiv admin note: substantial text overlap with arXiv:0901.1610
null
null
null
cs.NE cs.AI cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Observations are an essential component of the simulation based studies on artificial-evolutionary systems (AES) by which entities are identified and their behavior is observed to uncover higher-level "emergent" phenomena. Because of the heterogeneity of AES models and implicit nature of observations, precise charact...
[ { "created": "Sun, 24 Jun 2018 04:18:55 GMT", "version": "v1" } ]
2018-08-13
[ [ "Misra", "Janardan", "" ] ]
Observations are an essential component of the simulation based studies on artificial-evolutionary systems (AES) by which entities are identified and their behavior is observed to uncover higher-level "emergent" phenomena. Because of the heterogeneity of AES models and implicit nature of observations, precise character...
2404.03088
Bin Han
Zexin Fang, Bin Han, and Hans D. Schotten
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
Submitted to IEEE GLOBECOM 2024
null
null
null
cs.LG cs.AI cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application. Despite extensive studies on FL-empowered channel estimation, the security concerns associated with FL require meticulous attention. In a sc...
[ { "created": "Wed, 3 Apr 2024 22:03:28 GMT", "version": "v1" }, { "created": "Tue, 30 Jul 2024 08:19:53 GMT", "version": "v2" } ]
2024-07-31
[ [ "Fang", "Zexin", "" ], [ "Han", "Bin", "" ], [ "Schotten", "Hans D.", "" ] ]
Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application. Despite extensive studies on FL-empowered channel estimation, the security concerns associated with FL require meticulous attention. In a scen...
cs/0402008
Richard McClatchey
Mohammed Odeh, Tamas Hauer, Richard McClatchey & Tony Solomonides
A Use-Case Driven Approach in Requirements Engineering : The Mammogrid Project
6 pages, 3 figures. Presented at the 7th IASTED Int Conf on Software Engineering Applications. Marina del Rey, USA November 2003
null
null
null
cs.DB cs.SE
null
We report on the application of the use-case modeling technique to identify and specify the user requirements of the MammoGrid project in an incremental and controlled iterative approach. Modeling has been carried out in close collaboration with clinicians and radiologists with no prior experience of use cases. The s...
[ { "created": "Mon, 2 Feb 2004 20:18:23 GMT", "version": "v1" } ]
2009-09-29
[ [ "Odeh", "Mohammed", "" ], [ "Hauer", "Tamas", "" ], [ "McClatchey", "Richard", "" ], [ "Solomonides", "Tony", "" ] ]
We report on the application of the use-case modeling technique to identify and specify the user requirements of the MammoGrid project in an incremental and controlled iterative approach. Modeling has been carried out in close collaboration with clinicians and radiologists with no prior experience of use cases. The stu...
2404.04718
Prasun Tripathi
Prasun C Tripathi, Sina Tabakhi, Mohammod N I Suvon, Lawrence Sch\"ob, Samer Alabed, Andrew J Swift, Shuo Zhou, and Haiping Lu
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while non-invasive methods are often needed to screen high-risk patients from a large ...
[ { "created": "Sat, 6 Apr 2024 19:42:25 GMT", "version": "v1" } ]
2024-04-09
[ [ "Tripathi", "Prasun C", "" ], [ "Tabakhi", "Sina", "" ], [ "Suvon", "Mohammod N I", "" ], [ "Schöb", "Lawrence", "" ], [ "Alabed", "Samer", "" ], [ "Swift", "Andrew J", "" ], [ "Zhou", "Shuo", "" ], [ ...
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while non-invasive methods are often needed to screen high-risk patients from a large po...
1703.06117
John Prpi\'c
J. Prpi\'c
Unpacking Blockchains
Collective Intelligence 2017. NYU Tandon School of Engineering. June 15-16, 2017
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Bitcoin digital currency appeared in 2009. Since this time, researchers and practitioners have looked under the hood of the open source Bitcoin currency, and discovered that Bitcoins Blockchain software architecture is useful for non-monetary purposes too. By coalescing the research and practice on Blockchains, t...
[ { "created": "Mon, 13 Mar 2017 22:03:09 GMT", "version": "v1" } ]
2017-03-20
[ [ "Prpić", "J.", "" ] ]
The Bitcoin digital currency appeared in 2009. Since this time, researchers and practitioners have looked under the hood of the open source Bitcoin currency, and discovered that Bitcoins Blockchain software architecture is useful for non-monetary purposes too. By coalescing the research and practice on Blockchains, thi...
2205.13098
Yifei Wang
Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization
null
null
null
null
cs.LG math.OC stat.ML
http://creativecommons.org/licenses/by/4.0/
The computation of Wasserstein gradient direction is essential for posterior sampling problems and scientific computing. The approximation of the Wasserstein gradient with finite samples requires solving a variational problem. We study the variational problem in the family of two-layer networks with squared-ReLU acti...
[ { "created": "Thu, 26 May 2022 00:51:12 GMT", "version": "v1" } ]
2022-05-27
[ [ "Wang", "Yifei", "" ], [ "Chen", "Peng", "" ], [ "Pilanci", "Mert", "" ], [ "Li", "Wuchen", "" ] ]
The computation of Wasserstein gradient direction is essential for posterior sampling problems and scientific computing. The approximation of the Wasserstein gradient with finite samples requires solving a variational problem. We study the variational problem in the family of two-layer networks with squared-ReLU activa...
2304.13664
Luisa Coheur
Hugo Rodrigues, Eric Nyberg, Luisa Coheur
Using Implicit Feedback to Improve Question Generation
27 pages, 8 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Question Generation (QG) is a task of Natural Language Processing (NLP) that aims at automatically generating questions from text. Many applications can benefit from automatically generated questions, but often it is necessary to curate those questions, either by selecting or editing them. This task is informative on...
[ { "created": "Wed, 26 Apr 2023 16:37:47 GMT", "version": "v1" } ]
2023-04-27
[ [ "Rodrigues", "Hugo", "" ], [ "Nyberg", "Eric", "" ], [ "Coheur", "Luisa", "" ] ]
Question Generation (QG) is a task of Natural Language Processing (NLP) that aims at automatically generating questions from text. Many applications can benefit from automatically generated questions, but often it is necessary to curate those questions, either by selecting or editing them. This task is informative on i...
1904.10504
Li Chen
Li Chen
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions
Report
null
null
null
cs.CR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
My research lies in the intersection of security and machine learning. This overview summarizes one component of my research: combining computer vision with malware exploit detection for enhanced security solutions. I will present the perspectives of efficacy, reliability and resiliency to formulate threat detection ...
[ { "created": "Wed, 3 Apr 2019 18:34:20 GMT", "version": "v1" } ]
2019-04-25
[ [ "Chen", "Li", "" ] ]
My research lies in the intersection of security and machine learning. This overview summarizes one component of my research: combining computer vision with malware exploit detection for enhanced security solutions. I will present the perspectives of efficacy, reliability and resiliency to formulate threat detection as...
1810.13337
Pengcheng Yin
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
Learning to Represent Edits
ICLR 2019
null
null
null
cs.LG cs.SE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the problem of learning distributed representations of edits. By combining a "neural editor" with an "edit encoder", our models learn to represent the salient information of an edit and can be used to apply edits to new inputs. We experiment on natural language and source code edit data. Our evaluation y...
[ { "created": "Wed, 31 Oct 2018 15:29:30 GMT", "version": "v1" }, { "created": "Fri, 22 Feb 2019 05:16:03 GMT", "version": "v2" } ]
2019-02-25
[ [ "Yin", "Pengcheng", "" ], [ "Neubig", "Graham", "" ], [ "Allamanis", "Miltiadis", "" ], [ "Brockschmidt", "Marc", "" ], [ "Gaunt", "Alexander L.", "" ] ]
We introduce the problem of learning distributed representations of edits. By combining a "neural editor" with an "edit encoder", our models learn to represent the salient information of an edit and can be used to apply edits to new inputs. We experiment on natural language and source code edit data. Our evaluation yie...
1312.7645
Rob van Glabbeek
Ansgar Fehnker, Rob van Glabbeek, Peter H\"ofner, Annabelle McIver, Marius Portmann and Wee Lum Tan
A Process Algebra for Wireless Mesh Networks used for Modelling, Verifying and Analysing AODV
null
null
null
Technical Report 5513, NICTA, 2013
cs.NI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose AWN (Algebra for Wireless Networks), a process algebra tailored to the modelling of Mobile Ad hoc Network (MANET) and Wireless Mesh Network (WMN) protocols. It combines novel treatments of local broadcast, conditional unicast and data structures. In this framework we present a rigorous analysis of the Ad...
[ { "created": "Mon, 30 Dec 2013 07:18:04 GMT", "version": "v1" } ]
2013-12-31
[ [ "Fehnker", "Ansgar", "" ], [ "van Glabbeek", "Rob", "" ], [ "Höfner", "Peter", "" ], [ "McIver", "Annabelle", "" ], [ "Portmann", "Marius", "" ], [ "Tan", "Wee Lum", "" ] ]
We propose AWN (Algebra for Wireless Networks), a process algebra tailored to the modelling of Mobile Ad hoc Network (MANET) and Wireless Mesh Network (WMN) protocols. It combines novel treatments of local broadcast, conditional unicast and data structures. In this framework we present a rigorous analysis of the Ad hoc...
2110.05422
Rose Wang
Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman
Calibrate your listeners! Robust communication-based training for pragmatic speakers
Findings of EMNLP 2021 Code: https://github.com/rosewang2008/calibrate_your_listeners
null
null
null
cs.CL cs.AI cs.LG cs.MA
http://creativecommons.org/licenses/by/4.0/
To be good conversational partners, natural language processing (NLP) systems should be trained to produce contextually useful utterances. Prior work has investigated training NLP systems with communication-based objectives, where a neural listener stands in as a communication partner. However, these systems commonly...
[ { "created": "Mon, 11 Oct 2021 17:07:38 GMT", "version": "v1" } ]
2021-10-12
[ [ "Wang", "Rose E.", "" ], [ "White", "Julia", "" ], [ "Mu", "Jesse", "" ], [ "Goodman", "Noah D.", "" ] ]
To be good conversational partners, natural language processing (NLP) systems should be trained to produce contextually useful utterances. Prior work has investigated training NLP systems with communication-based objectives, where a neural listener stands in as a communication partner. However, these systems commonly s...
1306.0865
Jinkyu Kang
Jinkyu Kang and Osvaldo Simeone and Joonhyuk Kang and Shlomo Shamai (Shitz)
Joint Signal and Channel State Information Compression for the Backhaul of Uplink Network MIMO Systems
34 pages, 6 figures. Submitted to IEEE Transactions on Wireless Communication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In network MIMO cellular systems, subsets of base stations (BSs), or remote radio heads, are connected via backhaul links to central units (CUs) that perform joint encoding in the downlink and joint decoding in the uplink. Focusing on the uplink, an effective solution for the communication between BSs and the corresp...
[ { "created": "Tue, 4 Jun 2013 18:08:13 GMT", "version": "v1" }, { "created": "Wed, 23 Oct 2013 11:01:29 GMT", "version": "v2" } ]
2013-10-24
[ [ "Kang", "Jinkyu", "", "Shitz" ], [ "Simeone", "Osvaldo", "", "Shitz" ], [ "Kang", "Joonhyuk", "", "Shitz" ], [ "Shamai", "Shlomo", "", "Shitz" ] ]
In network MIMO cellular systems, subsets of base stations (BSs), or remote radio heads, are connected via backhaul links to central units (CUs) that perform joint encoding in the downlink and joint decoding in the uplink. Focusing on the uplink, an effective solution for the communication between BSs and the correspon...
0711.0618
Wim Vanhoof
Jan Wielemaker, Anjo Anjewierden
PIDoc: Wiki style Literate Programming for Prolog
Paper presented at the 17th Workshop on Logic-based Methods in Programming Environments (WLPE2007)
null
null
null
cs.PL cs.SE
null
This document introduces PlDoc, a literate programming system for Prolog. Starting point for PlDoc was minimal distraction from the programming task and maximal immediate reward, attempting to seduce the programmer to use the system. Minimal distraction is achieved using structured comments that are as closely as pos...
[ { "created": "Mon, 5 Nov 2007 12:13:12 GMT", "version": "v1" } ]
2007-11-06
[ [ "Wielemaker", "Jan", "" ], [ "Anjewierden", "Anjo", "" ] ]
This document introduces PlDoc, a literate programming system for Prolog. Starting point for PlDoc was minimal distraction from the programming task and maximal immediate reward, attempting to seduce the programmer to use the system. Minimal distraction is achieved using structured comments that are as closely as possi...
2102.10196
Romain Cosson
Romain Cosson, Devavrat Shah
Quantifying Variational Approximation for the Log-Partition Function
null
null
null
null
cs.DS cs.LG math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Variational approximation, such as mean-field (MF) and tree-reweighted (TRW), provide a computationally efficient approximation of the log-partition function for a generic graphical model. TRW provably provides an upper bound, but the approximation ratio is generally not quantified. As the primary contribution of t...
[ { "created": "Fri, 19 Feb 2021 22:57:32 GMT", "version": "v1" }, { "created": "Thu, 19 Aug 2021 22:10:39 GMT", "version": "v2" } ]
2021-08-23
[ [ "Cosson", "Romain", "" ], [ "Shah", "Devavrat", "" ] ]
Variational approximation, such as mean-field (MF) and tree-reweighted (TRW), provide a computationally efficient approximation of the log-partition function for a generic graphical model. TRW provably provides an upper bound, but the approximation ratio is generally not quantified. As the primary contribution of this ...
2205.12701
Qinyuan Ye
Qinyuan Ye, Juan Zha, Xiang Ren
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Accepted to EMNLP 2022 Findings. Camera-ready version
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent works suggest that transformer models are capable of multi-tasking on diverse NLP tasks and adapting to new tasks efficiently. However, the potential of these multi-task models may be limited as they use the same set of parameters for all tasks. In contrast, humans tackle tasks in a more flexible way, by makin...
[ { "created": "Wed, 25 May 2022 11:59:05 GMT", "version": "v1" }, { "created": "Tue, 22 Nov 2022 00:15:25 GMT", "version": "v2" } ]
2022-11-23
[ [ "Ye", "Qinyuan", "" ], [ "Zha", "Juan", "" ], [ "Ren", "Xiang", "" ] ]
Recent works suggest that transformer models are capable of multi-tasking on diverse NLP tasks and adapting to new tasks efficiently. However, the potential of these multi-task models may be limited as they use the same set of parameters for all tasks. In contrast, humans tackle tasks in a more flexible way, by making ...
1507.01443
Erik Ferragut
Erik M. Ferragut, Jason Laska
Nonparametric Bayesian Modeling for Automated Database Schema Matching
null
null
null
null
cs.IR cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of merging databases arises in many government and commercial applications. Schema matching, a common first step, identifies equivalent fields between databases. We introduce a schema matching framework that builds nonparametric Bayesian models for each field and compares them by computing the probability...
[ { "created": "Mon, 6 Jul 2015 13:26:02 GMT", "version": "v1" } ]
2015-07-07
[ [ "Ferragut", "Erik M.", "" ], [ "Laska", "Jason", "" ] ]
The problem of merging databases arises in many government and commercial applications. Schema matching, a common first step, identifies equivalent fields between databases. We introduce a schema matching framework that builds nonparametric Bayesian models for each field and compares them by computing the probability t...
1902.03683
Xiaojiang Du
Caidan Zhao, Mingxian Shi, MinMin Huang, Xiaojiang Du
Authentication Scheme Based on Hashchain for Space-Air-Ground Integrated Network
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of artificial intelligence and self-driving, vehicular ad-hoc network (VANET) has become an irreplaceable part of the Intelligent Transportation Systems (ITSs). However, the traditional network of the ground cannot meet the requirements of transmission, processing, and storage among vehicles. Und...
[ { "created": "Sun, 10 Feb 2019 23:22:23 GMT", "version": "v1" } ]
2019-02-12
[ [ "Zhao", "Caidan", "" ], [ "Shi", "Mingxian", "" ], [ "Huang", "MinMin", "" ], [ "Du", "Xiaojiang", "" ] ]
With the development of artificial intelligence and self-driving, vehicular ad-hoc network (VANET) has become an irreplaceable part of the Intelligent Transportation Systems (ITSs). However, the traditional network of the ground cannot meet the requirements of transmission, processing, and storage among vehicles. Under...
2204.01065
Roni Stern
A.A. Snarskii, I.V. Bezsudnov
Forward and backward mapping of image to 2D vector field using fiber bundle color space
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the concept of a fiber bundle color space, which acts according to the psychophysiological rules of trichromacy perception of colors by a human. The image resides in the fiber bundle base space and the fiber color space contains color vectors. Further we propose the decomposition of color vectors into sp...
[ { "created": "Sun, 3 Apr 2022 12:53:16 GMT", "version": "v1" } ]
2022-04-05
[ [ "Snarskii", "A. A.", "" ], [ "Bezsudnov", "I. V.", "" ] ]
We introduce the concept of a fiber bundle color space, which acts according to the psychophysiological rules of trichromacy perception of colors by a human. The image resides in the fiber bundle base space and the fiber color space contains color vectors. Further we propose the decomposition of color vectors into spec...
2003.07892
Shrey Desai
Shrey Desai and Greg Durrett
Calibration of Pre-trained Transformers
Accepted to EMNLP 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-trained Transformers are now ubiquitous in natural language processing, but despite their high end-task performance, little is known empirically about whether they are calibrated. Specifically, do these models' posterior probabilities provide an accurate empirical measure of how likely the model is to be correct ...
[ { "created": "Tue, 17 Mar 2020 18:58:44 GMT", "version": "v1" }, { "created": "Fri, 20 Mar 2020 21:35:54 GMT", "version": "v2" }, { "created": "Thu, 15 Oct 2020 17:04:21 GMT", "version": "v3" } ]
2020-10-16
[ [ "Desai", "Shrey", "" ], [ "Durrett", "Greg", "" ] ]
Pre-trained Transformers are now ubiquitous in natural language processing, but despite their high end-task performance, little is known empirically about whether they are calibrated. Specifically, do these models' posterior probabilities provide an accurate empirical measure of how likely the model is to be correct on...
2004.05909
Tao Zhang
Tao Zhang, Wei Li
kDecay: Just adding k-decay items on Learning-Rate Schedule to improve Neural Networks
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has shown that optimizing the Learning Rate (LR) schedule can be a very accurate and efficient way to train deep neural networks. We observe that the rate of change (ROC) of LR has correlation with the training process, but how to use this relationship to control the training to achieve the purpose of imp...
[ { "created": "Mon, 13 Apr 2020 12:58:45 GMT", "version": "v1" }, { "created": "Mon, 20 Apr 2020 06:47:54 GMT", "version": "v2" }, { "created": "Mon, 29 Jun 2020 13:03:36 GMT", "version": "v3" }, { "created": "Fri, 2 Oct 2020 10:17:13 GMT", "version": "v4" }, { "cr...
2022-03-23
[ [ "Zhang", "Tao", "" ], [ "Li", "Wei", "" ] ]
Recent work has shown that optimizing the Learning Rate (LR) schedule can be a very accurate and efficient way to train deep neural networks. We observe that the rate of change (ROC) of LR has correlation with the training process, but how to use this relationship to control the training to achieve the purpose of impro...
2306.08906
Lukas Daniel Klausner
Dagmar Gromann, Manuel Lardelli, Katta Spiel, Sabrina Burtscher, Lukas Daniel Klausner, Arthur Mettinger, Igor Miladinovic, Sigrid Schefer-Wenzl, Daniela Duh, Katharina B\"uhn
Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation
11 pages, 4 figures
Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023), 2023, 49-59
null
null
cs.CL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have seen a strongly increased visibility of non-binary people in public discourse. Accordingly, considerations of gender-fair language go beyond a binary conception of male/female. However, language technology, especially machine translation (MT), still suffers from binary gender bias. Proposing a solut...
[ { "created": "Thu, 15 Jun 2023 07:20:14 GMT", "version": "v1" } ]
2023-09-12
[ [ "Gromann", "Dagmar", "" ], [ "Lardelli", "Manuel", "" ], [ "Spiel", "Katta", "" ], [ "Burtscher", "Sabrina", "" ], [ "Klausner", "Lukas Daniel", "" ], [ "Mettinger", "Arthur", "" ], [ "Miladinovic", "Igor", ...
Recent years have seen a strongly increased visibility of non-binary people in public discourse. Accordingly, considerations of gender-fair language go beyond a binary conception of male/female. However, language technology, especially machine translation (MT), still suffers from binary gender bias. Proposing a solutio...
2109.00471
Ruiqi Zhao
Ruiqi Zhao, Tianyi Wu and Guodong Guo
Sparse to Dense Motion Transfer for Face Image Animation
Accepted by ICCV 2021 Advances in Image Manipulation Workshop
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Face image animation from a single image has achieved remarkable progress. However, it remains challenging when only sparse landmarks are available as the driving signal. Given a source face image and a sequence of sparse face landmarks, our goal is to generate a video of the face imitating the motion of landmarks. W...
[ { "created": "Wed, 1 Sep 2021 16:23:57 GMT", "version": "v1" }, { "created": "Fri, 3 Sep 2021 04:05:08 GMT", "version": "v2" } ]
2021-09-06
[ [ "Zhao", "Ruiqi", "" ], [ "Wu", "Tianyi", "" ], [ "Guo", "Guodong", "" ] ]
Face image animation from a single image has achieved remarkable progress. However, it remains challenging when only sparse landmarks are available as the driving signal. Given a source face image and a sequence of sparse face landmarks, our goal is to generate a video of the face imitating the motion of landmarks. We ...
2302.07074
Matthieu Doutreligne Mr.
Matthieu Doutreligne, Adeline Degremont, Pierre-Alain Jachiet, Antoine Lamer, Xavier Tannier
Good practices for clinical data warehouse implementation: a case study in France
16 pages
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Real World Data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight...
[ { "created": "Mon, 6 Feb 2023 13:38:12 GMT", "version": "v1" }, { "created": "Tue, 7 Mar 2023 08:35:36 GMT", "version": "v2" } ]
2023-03-08
[ [ "Doutreligne", "Matthieu", "" ], [ "Degremont", "Adeline", "" ], [ "Jachiet", "Pierre-Alain", "" ], [ "Lamer", "Antoine", "" ], [ "Tannier", "Xavier", "" ] ]
Real World Data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight k...
2308.07473
Neel Patel
Ramiro Deo-Campo Vuong and Shaddin Dughmi and Neel Patel and Aditya Prasad
On Supermodular Contracts and Dense Subgraphs
31 pages, 2 figures
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
We study the combinatorial contract design problem, introduced and studied by Dutting et. al. (2021, 2022), in both the single and multi-agent settings. Prior work has examined the problem when the principal's utility function is submodular in the actions chosen by the agent(s). We complement this emerging literatu...
[ { "created": "Mon, 14 Aug 2023 21:57:25 GMT", "version": "v1" } ]
2023-08-16
[ [ "Vuong", "Ramiro Deo-Campo", "" ], [ "Dughmi", "Shaddin", "" ], [ "Patel", "Neel", "" ], [ "Prasad", "Aditya", "" ] ]
We study the combinatorial contract design problem, introduced and studied by Dutting et. al. (2021, 2022), in both the single and multi-agent settings. Prior work has examined the problem when the principal's utility function is submodular in the actions chosen by the agent(s). We complement this emerging literature w...
2403.20132
Michael F\"arber
Michael F\"arber
A formal specification of the jq language
null
null
null
null
cs.LO cs.PL
http://creativecommons.org/licenses/by/4.0/
jq is a widely used tool that provides a programming language to manipulate JSON data. However, the jq language is currently only specified by its implementation, making it difficult to reason about its behaviour. To this end, we provide a formal syntax and denotational semantics for a large subset of the jq language...
[ { "created": "Fri, 29 Mar 2024 11:49:42 GMT", "version": "v1" } ]
2024-04-01
[ [ "Färber", "Michael", "" ] ]
jq is a widely used tool that provides a programming language to manipulate JSON data. However, the jq language is currently only specified by its implementation, making it difficult to reason about its behaviour. To this end, we provide a formal syntax and denotational semantics for a large subset of the jq language. ...
1510.04440
Silvia Crafa
Silvia Crafa
Modelling the Evolution of Programming Languages
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Programming languages are engineered languages that allow to instruct a machine and share algorithmic information; they have a great influence on the society since they underlie almost every information technology artefact, and they are at the core of the current explosion of software technology. The history of progr...
[ { "created": "Thu, 15 Oct 2015 08:18:54 GMT", "version": "v1" } ]
2015-10-16
[ [ "Crafa", "Silvia", "" ] ]
Programming languages are engineered languages that allow to instruct a machine and share algorithmic information; they have a great influence on the society since they underlie almost every information technology artefact, and they are at the core of the current explosion of software technology. The history of program...
2012.06780
Hao Zhang
Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
To appear at AAAI 2021
null
10.1609/aaai.v35i16.17670
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a dialogue. When the given text is long, it is challenging to identify indicative words for the relation prediction. Recent advances on RE task are from BERT-based sequence modeling and ...
[ { "created": "Sat, 12 Dec 2020 10:43:41 GMT", "version": "v1" } ]
2023-04-26
[ [ "Xue", "Fuzhao", "" ], [ "Sun", "Aixin", "" ], [ "Zhang", "Hao", "" ], [ "Chng", "Eng Siong", "" ] ]
Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a dialogue. When the given text is long, it is challenging to identify indicative words for the relation prediction. Recent advances on RE task are from BERT-based sequence modeling and gr...
1404.4785
Olegs Verhodubs
Olegs Verhodubs
Ontology as a Source for Rule Generation
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discloses the potential of OWL (Web Ontology Language) ontologies for generation of rules. The main purpose of this paper is to identify new types of rules, which may be generated from OWL ontologies. Rules, generated from OWL ontologies, are necessary for the functioning of the Semantic Web Expert System....
[ { "created": "Fri, 18 Apr 2014 13:36:17 GMT", "version": "v1" } ]
2014-04-21
[ [ "Verhodubs", "Olegs", "" ] ]
This paper discloses the potential of OWL (Web Ontology Language) ontologies for generation of rules. The main purpose of this paper is to identify new types of rules, which may be generated from OWL ontologies. Rules, generated from OWL ontologies, are necessary for the functioning of the Semantic Web Expert System. I...
2303.06149
Marcel Matha
Marcel Matha and Christian Morsbach
Improved self-consistency of the Reynolds stress tensor eigenspace perturbation for uncertainty quantification
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Physics of Fluids (Vol.35, Issue 6) and may be found at https://doi.org/10.1063/5.0149747
Physics of Fluids, Vol.35, Issue 6, 2023
10.1063/5.0149747
null
cs.CE physics.flu-dyn
http://creativecommons.org/licenses/by/4.0/
The limitations of turbulence closure models in the context of Reynolds-averaged NavierStokes (RANS) simulations play a significant part in contributing to the uncertainty of Computational Fluid Dynamics (CFD). Perturbing the spectral representation of the Reynolds stress tensor within physical limits is common pract...
[ { "created": "Wed, 8 Mar 2023 13:02:26 GMT", "version": "v1" }, { "created": "Wed, 3 May 2023 07:35:52 GMT", "version": "v2" }, { "created": "Fri, 26 May 2023 13:42:20 GMT", "version": "v3" }, { "created": "Tue, 30 May 2023 06:35:01 GMT", "version": "v4" }, { "cre...
2023-06-21
[ [ "Matha", "Marcel", "" ], [ "Morsbach", "Christian", "" ] ]
The limitations of turbulence closure models in the context of Reynolds-averaged NavierStokes (RANS) simulations play a significant part in contributing to the uncertainty of Computational Fluid Dynamics (CFD). Perturbing the spectral representation of the Reynolds stress tensor within physical limits is common practic...
2306.14708
Mingyu Jin
Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang
A Simple and Effective Baseline for Attentional Generative Adversarial Networks
12 pages, 3 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Synthesising a text-to-image model of high-quality images by guiding the generative model through the Text description is an innovative and challenging task. In recent years, AttnGAN based on the Attention mechanism to guide GAN training has been proposed, SD-GAN, which adopts a self-distillation technique to improve...
[ { "created": "Mon, 26 Jun 2023 13:55:57 GMT", "version": "v1" }, { "created": "Thu, 6 Jul 2023 14:07:35 GMT", "version": "v2" } ]
2023-07-07
[ [ "Jin", "Mingyu", "" ], [ "Zhang", "Chong", "" ], [ "Yu", "Qinkai", "" ], [ "Xue", "Haochen", "" ], [ "Jin", "Xiaobo", "" ], [ "Yang", "Xi", "" ] ]
Synthesising a text-to-image model of high-quality images by guiding the generative model through the Text description is an innovative and challenging task. In recent years, AttnGAN based on the Attention mechanism to guide GAN training has been proposed, SD-GAN, which adopts a self-distillation technique to improve t...
2408.03397
Pratyush Dhingra
Pratyush Dhingra, Janardhan Rao Doppa, and Partha Pratim Pande
HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration
Presented at ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED-24)
null
null
null
cs.AR cs.LG
http://creativecommons.org/licenses/by/4.0/
Transformers have revolutionized deep learning and generative modeling to enable unprecedented advancements in natural language processing tasks and beyond. However, designing hardware accelerators for executing transformer models is challenging due to the wide variety of computing kernels involved in the transformer...
[ { "created": "Tue, 6 Aug 2024 18:48:01 GMT", "version": "v1" } ]
2024-08-08
[ [ "Dhingra", "Pratyush", "" ], [ "Doppa", "Janardhan Rao", "" ], [ "Pande", "Partha Pratim", "" ] ]
Transformers have revolutionized deep learning and generative modeling to enable unprecedented advancements in natural language processing tasks and beyond. However, designing hardware accelerators for executing transformer models is challenging due to the wide variety of computing kernels involved in the transformer a...
2401.05971
Rouwan Wu
Rouwan Wu, Xiaoya Cheng, Juelin Zhu, Xuxiang Liu, Maojun Zhang, Shen Yan
UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
null
3DV 2024
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in GPS-denied environments, existing methods remain constrained by the availability of datasets. Current datasets often focus on small-scale scenes and lack viewpoint variability, accurate ground truth (GT) pose, and UAV build-in s...
[ { "created": "Thu, 11 Jan 2024 15:19:21 GMT", "version": "v1" } ]
2024-01-12
[ [ "Wu", "Rouwan", "" ], [ "Cheng", "Xiaoya", "" ], [ "Zhu", "Juelin", "" ], [ "Liu", "Xuxiang", "" ], [ "Zhang", "Maojun", "" ], [ "Yan", "Shen", "" ] ]
Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in GPS-denied environments, existing methods remain constrained by the availability of datasets. Current datasets often focus on small-scale scenes and lack viewpoint variability, accurate ground truth (GT) pose, and UAV build-in sen...
2207.05696
Prateek Chhikara
Prateek Chhikara, Anil Goyal, Chirag Sharma
RE-Tagger: A light-weight Real-Estate Image Classifier
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (DEMO TRACK)
null
10.1007/978-3-031-26422-1_44
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-estate image tagging is one of the essential use-cases to save efforts involved in manual annotation and enhance the user experience. This paper proposes an end-to-end pipeline (referred to as RE-Tagger) for the real-estate image classification problem. We present a two-stage transfer learning approach using cus...
[ { "created": "Tue, 12 Jul 2022 17:16:06 GMT", "version": "v1" } ]
2023-06-06
[ [ "Chhikara", "Prateek", "" ], [ "Goyal", "Anil", "" ], [ "Sharma", "Chirag", "" ] ]
Real-estate image tagging is one of the essential use-cases to save efforts involved in manual annotation and enhance the user experience. This paper proposes an end-to-end pipeline (referred to as RE-Tagger) for the real-estate image classification problem. We present a two-stage transfer learning approach using custo...
2008.09105
Mingkui Tan
Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan
Location-aware Graph Convolutional Networks for Video Question Answering
null
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We addressed the challenging task of video question answering, which requires machines to answer questions about videos in a natural language form. Previous state-of-the-art methods attempt to apply spatio-temporal attention mechanism on video frame features without explicitly modeling the location and relations amon...
[ { "created": "Fri, 7 Aug 2020 02:12:56 GMT", "version": "v1" } ]
2020-08-21
[ [ "Huang", "Deng", "" ], [ "Chen", "Peihao", "" ], [ "Zeng", "Runhao", "" ], [ "Du", "Qing", "" ], [ "Tan", "Mingkui", "" ], [ "Gan", "Chuang", "" ] ]
We addressed the challenging task of video question answering, which requires machines to answer questions about videos in a natural language form. Previous state-of-the-art methods attempt to apply spatio-temporal attention mechanism on video frame features without explicitly modeling the location and relations among ...
2103.10357
Vincent Vajnovszki
Phan Thuan Do, Thi Thu Huong Tran, Vincent Vajnovszki
The equidistribution of some Mahonian statistics over permutations avoiding a pattern of length three
null
null
null
null
cs.DM math.CO
http://creativecommons.org/licenses/by-nc-nd/4.0/
We prove the equidistribution of several multistatistics over some classes of permutations avoiding a $3$-length pattern. We deduce the equidistribution, on the one hand of inv and foze" statistics, and on the other hand that of maj and makl statistics, over these classes of pattern avoiding permutations. Here inv an...
[ { "created": "Thu, 18 Mar 2021 16:25:36 GMT", "version": "v1" }, { "created": "Wed, 11 Aug 2021 15:04:40 GMT", "version": "v2" } ]
2021-08-12
[ [ "Do", "Phan Thuan", "" ], [ "Tran", "Thi Thu Huong", "" ], [ "Vajnovszki", "Vincent", "" ] ]
We prove the equidistribution of several multistatistics over some classes of permutations avoiding a $3$-length pattern. We deduce the equidistribution, on the one hand of inv and foze" statistics, and on the other hand that of maj and makl statistics, over these classes of pattern avoiding permutations. Here inv and ...
1811.05010
Long Nguyen Msc
Long Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A crucial and time-sensitive task when any disaster occurs is to rescue victims and distribute resources to the right groups and locations. This task is challenging in populated urban areas, due to the huge burst of help requests generated in a very short period. To improve the efficiency of the emergency response in...
[ { "created": "Mon, 12 Nov 2018 21:39:07 GMT", "version": "v1" } ]
2018-11-14
[ [ "Nguyen", "Long", "" ], [ "Yang", "Zhou", "" ], [ "Zhu", "Jiazhen", "" ], [ "Li", "Jia", "" ], [ "Jin", "Fang", "" ] ]
A crucial and time-sensitive task when any disaster occurs is to rescue victims and distribute resources to the right groups and locations. This task is challenging in populated urban areas, due to the huge burst of help requests generated in a very short period. To improve the efficiency of the emergency response in t...
2302.11296
Mashaan Alshammari Dr.
Mashaan Alshammari, John Stavrakakis, Masahiro Takatsuka
Refining a $k$-nearest neighbor graph for a computationally efficient spectral clustering
null
Pattern Recognition, Volume 114, 2021
10.1016/j.patcog.2021.107869
null
cs.LG cs.AI cs.IR cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spectral clustering became a popular choice for data clustering for its ability of uncovering clusters of different shapes. However, it is not always preferable over other clustering methods due to its computational demands. One of the effective ways to bypass these computational demands is to perform spectral cluste...
[ { "created": "Wed, 22 Feb 2023 11:31:32 GMT", "version": "v1" } ]
2023-02-23
[ [ "Alshammari", "Mashaan", "" ], [ "Stavrakakis", "John", "" ], [ "Takatsuka", "Masahiro", "" ] ]
Spectral clustering became a popular choice for data clustering for its ability of uncovering clusters of different shapes. However, it is not always preferable over other clustering methods due to its computational demands. One of the effective ways to bypass these computational demands is to perform spectral clusteri...
2010.01753
Rodrigo Toro Icarte
Rodrigo Toro Icarte, Richard Valenzano, Toryn Q. Klassen, Phillip Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
The act of remembering: a study in partially observable reinforcement learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement Learning (RL) agents typically learn memoryless policies---policies that only consider the last observation when selecting actions. Learning memoryless policies is efficient and optimal in fully observable environments. However, some form of memory is necessary when RL agents are faced with partial obse...
[ { "created": "Mon, 5 Oct 2020 02:56:43 GMT", "version": "v1" } ]
2020-10-06
[ [ "Icarte", "Rodrigo Toro", "" ], [ "Valenzano", "Richard", "" ], [ "Klassen", "Toryn Q.", "" ], [ "Christoffersen", "Phillip", "" ], [ "Farahmand", "Amir-massoud", "" ], [ "McIlraith", "Sheila A.", "" ] ]
Reinforcement Learning (RL) agents typically learn memoryless policies---policies that only consider the last observation when selecting actions. Learning memoryless policies is efficient and optimal in fully observable environments. However, some form of memory is necessary when RL agents are faced with partial observ...
1909.00508
Nathan Dahlin
Nathan Dahlin and Rahul Jain
Two-Stage Electricity Markets with Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis
null
null
null
null
cs.GT cs.SY econ.GN eess.SY q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a two-stage market mechanism for trading electricity including renewable generation as an alternative to the widely used multi-settlement market structure. The two-stage market structure allows for recourse decisions by the market operator, which are not possible in today's markets. We allow for different...
[ { "created": "Mon, 2 Sep 2019 01:46:35 GMT", "version": "v1" }, { "created": "Tue, 15 Jun 2021 00:40:53 GMT", "version": "v2" } ]
2021-06-16
[ [ "Dahlin", "Nathan", "" ], [ "Jain", "Rahul", "" ] ]
We consider a two-stage market mechanism for trading electricity including renewable generation as an alternative to the widely used multi-settlement market structure. The two-stage market structure allows for recourse decisions by the market operator, which are not possible in today's markets. We allow for different c...
2009.00099
Behrooz Omidvar-Tehrani
Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders
Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Recommending Points-of-Interest (POIs) is surfacing in many location-based applications. The literature contains personalized and socialized POI recommendation approaches which employ historical check-ins and social links to make recommendations. However these systems still lack customizability (incorporating session...
[ { "created": "Mon, 31 Aug 2020 21:05:21 GMT", "version": "v1" } ]
2020-09-02
[ [ "Omidvar-Tehrani", "Behrooz", "" ], [ "Viswanathan", "Sruthi", "" ], [ "Renders", "Jean-Michel", "" ] ]
Recommending Points-of-Interest (POIs) is surfacing in many location-based applications. The literature contains personalized and socialized POI recommendation approaches which employ historical check-ins and social links to make recommendations. However these systems still lack customizability (incorporating session-b...
1810.09807
Hong Chen
Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille and Shu Rong
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
EMNLP 2018
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce PreCo, a large-scale English dataset for coreference resolution. The dataset is designed to embody the core challenges in coreference, such as entity representation, by alleviating the challenge of low overlap between training and test sets and enabling separated analysis of mention detection and mention...
[ { "created": "Tue, 23 Oct 2018 12:09:37 GMT", "version": "v1" } ]
2018-10-24
[ [ "Chen", "Hong", "" ], [ "Fan", "Zhenhua", "" ], [ "Lu", "Hao", "" ], [ "Yuille", "Alan L.", "" ], [ "Rong", "Shu", "" ] ]
We introduce PreCo, a large-scale English dataset for coreference resolution. The dataset is designed to embody the core challenges in coreference, such as entity representation, by alleviating the challenge of low overlap between training and test sets and enabling separated analysis of mention detection and mention c...
2210.01234
Rafid Mahmood
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law
Optimizing Data Collection for Machine Learning
Accepted to NeurIPS 2022
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Modern deep learning systems require huge data sets to achieve impressive performance, but there is little guidance on how much or what kind of data to collect. Over-collecting data incurs unnecessary present costs, while under-collecting may incur future costs and delay workflows. We propose a new paradigm for model...
[ { "created": "Mon, 3 Oct 2022 21:19:05 GMT", "version": "v1" } ]
2022-10-05
[ [ "Mahmood", "Rafid", "" ], [ "Lucas", "James", "" ], [ "Alvarez", "Jose M.", "" ], [ "Fidler", "Sanja", "" ], [ "Law", "Marc T.", "" ] ]
Modern deep learning systems require huge data sets to achieve impressive performance, but there is little guidance on how much or what kind of data to collect. Over-collecting data incurs unnecessary present costs, while under-collecting may incur future costs and delay workflows. We propose a new paradigm for modelin...
1903.10404
Bharat Prakash
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In autonomous embedded systems, it is often vital to reduce the amount of actions taken in the real world and energy required to learn a policy. Training reinforcement learning agents from high dimensional image representations can be very expensive and time consuming. Autoencoders are deep neural network used to com...
[ { "created": "Mon, 25 Mar 2019 15:38:37 GMT", "version": "v1" } ]
2019-03-26
[ [ "Prakash", "Bharat", "" ], [ "Horton", "Mark", "" ], [ "Waytowich", "Nicholas R.", "" ], [ "Hairston", "William David", "" ], [ "Oates", "Tim", "" ], [ "Mohsenin", "Tinoosh", "" ] ]
In autonomous embedded systems, it is often vital to reduce the amount of actions taken in the real world and energy required to learn a policy. Training reinforcement learning agents from high dimensional image representations can be very expensive and time consuming. Autoencoders are deep neural network used to compr...
2307.07935
Jinlong Li
Jinlong Li, Runsheng Xu, Xinyu Liu, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
submit the latest one, accepted by the 2024 IEEE International Conference on Robotics and Automation (ICRA)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Due to the lack of enough real multi-agent data and time-consuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. However, the perception performance is degraded when these simulation-trained models are deployed to the real wor...
[ { "created": "Sun, 16 Jul 2023 03:54:10 GMT", "version": "v1" }, { "created": "Tue, 18 Jul 2023 22:33:55 GMT", "version": "v2" }, { "created": "Tue, 26 Sep 2023 18:01:44 GMT", "version": "v3" }, { "created": "Tue, 20 Feb 2024 20:50:55 GMT", "version": "v4" } ]
2024-02-22
[ [ "Li", "Jinlong", "" ], [ "Xu", "Runsheng", "" ], [ "Liu", "Xinyu", "" ], [ "Li", "Baolu", "" ], [ "Zou", "Qin", "" ], [ "Ma", "Jiaqi", "" ], [ "Yu", "Hongkai", "" ] ]
Due to the lack of enough real multi-agent data and time-consuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. However, the perception performance is degraded when these simulation-trained models are deployed to the real world...
1811.12099
Felix Rath
Felix Rath, Daniel Schemmel, Klaus Wehrle
Interoperability-Guided Testing of QUIC Implementations using Symbolic Execution
6 pages
null
10.1145/3284850.3284853
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main reason for the standardization of network protocols, like QUIC, is to ensure interoperability between implementations, which poses a challenging task. Manual tests are currently used to test the different existing implementations for interoperability, but given the complex nature of network protocols, it is ...
[ { "created": "Thu, 29 Nov 2018 12:41:38 GMT", "version": "v1" } ]
2018-11-30
[ [ "Rath", "Felix", "" ], [ "Schemmel", "Daniel", "" ], [ "Wehrle", "Klaus", "" ] ]
The main reason for the standardization of network protocols, like QUIC, is to ensure interoperability between implementations, which poses a challenging task. Manual tests are currently used to test the different existing implementations for interoperability, but given the complex nature of network protocols, it is ha...
2107.11208
Simon Burton
Simon Burton
Entropy, Derivation Operators and Huffman Trees
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We build a theory of binary trees on finite multisets that categorifies, or operationalizes, the entropy of a finite probability distribution. Multisets operationalize probabilities as the event outcomes of an experiment. Huffman trees operationalize the entropy of the distribution of these events. We show how the de...
[ { "created": "Fri, 23 Jul 2021 13:08:37 GMT", "version": "v1" } ]
2021-07-26
[ [ "Burton", "Simon", "" ] ]
We build a theory of binary trees on finite multisets that categorifies, or operationalizes, the entropy of a finite probability distribution. Multisets operationalize probabilities as the event outcomes of an experiment. Huffman trees operationalize the entropy of the distribution of these events. We show how the deri...
1802.02178
Ruizhou Ding
Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, and R. D. Blanton
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Application-specific integrated circuit (ASIC) implementations for Deep Neural Networks (DNNs) have been adopted in many systems because of their higher classification speed. However, although they may be characterized by better accuracy, larger DNNs require significant energy and area, thereby limiting their wide ad...
[ { "created": "Sat, 2 Dec 2017 21:34:39 GMT", "version": "v1" } ]
2018-02-08
[ [ "Ding", "Ruizhou", "" ], [ "Liu", "Zeye", "" ], [ "Shi", "Rongye", "" ], [ "Marculescu", "Diana", "" ], [ "Blanton", "R. D.", "" ] ]
Application-specific integrated circuit (ASIC) implementations for Deep Neural Networks (DNNs) have been adopted in many systems because of their higher classification speed. However, although they may be characterized by better accuracy, larger DNNs require significant energy and area, thereby limiting their wide adop...
2303.15671
Suncheng Xiang
Qingzhong Chen, Shilun Cai, Crystal Cai, Zefang Yu, Dahong Qian, Suncheng Xiang
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval
Accepted by ICME 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Colonoscopic video retrieval, which is a critical part of polyp treatment, has great clinical significance for the prevention and treatment of colorectal cancer. However, retrieval models trained on action recognition datasets usually produce unsatisfactory retrieval results on colonoscopic datasets due to the large ...
[ { "created": "Tue, 28 Mar 2023 01:27:23 GMT", "version": "v1" } ]
2023-03-29
[ [ "Chen", "Qingzhong", "" ], [ "Cai", "Shilun", "" ], [ "Cai", "Crystal", "" ], [ "Yu", "Zefang", "" ], [ "Qian", "Dahong", "" ], [ "Xiang", "Suncheng", "" ] ]
Colonoscopic video retrieval, which is a critical part of polyp treatment, has great clinical significance for the prevention and treatment of colorectal cancer. However, retrieval models trained on action recognition datasets usually produce unsatisfactory retrieval results on colonoscopic datasets due to the large do...
2006.07486
Zihan Tan
Julia Chuzhoy, Merav Parter, Zihan Tan
On Packing Low-Diameter Spanning Trees
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Edge connectivity of a graph is one of the most fundamental graph-theoretic concepts. The celebrated tree packing theorem of Tutte and Nash-Williams from 1961 states that every $k$-edge connected graph $G$ contains a collection $\cal{T}$ of $\lfloor k/2 \rfloor$ edge-disjoint spanning trees, that we refer to as a tre...
[ { "created": "Fri, 12 Jun 2020 21:54:03 GMT", "version": "v1" } ]
2020-06-16
[ [ "Chuzhoy", "Julia", "" ], [ "Parter", "Merav", "" ], [ "Tan", "Zihan", "" ] ]
Edge connectivity of a graph is one of the most fundamental graph-theoretic concepts. The celebrated tree packing theorem of Tutte and Nash-Williams from 1961 states that every $k$-edge connected graph $G$ contains a collection $\cal{T}$ of $\lfloor k/2 \rfloor$ edge-disjoint spanning trees, that we refer to as a tree ...
2107.09862
Bruno Benedetti
Bruno Benedetti, Crystal Lai, Davide Lofano, and Frank H. Lutz
Random Simple-Homotopy Theory
23 pages, 6 figures, 5 tables
null
null
null
cs.CG math.AT math.CO math.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We implement an algorithm RSHT (Random Simple-Homotopy) to study the simple-homotopy types of simplicial complexes, with a particular focus on contractible spaces and on finding substructures in higher-dimensional complexes. The algorithm combines elementary simplicial collapses with pure elementary expansions. For t...
[ { "created": "Wed, 21 Jul 2021 03:05:11 GMT", "version": "v1" }, { "created": "Sun, 26 Sep 2021 13:48:55 GMT", "version": "v2" } ]
2021-09-28
[ [ "Benedetti", "Bruno", "" ], [ "Lai", "Crystal", "" ], [ "Lofano", "Davide", "" ], [ "Lutz", "Frank H.", "" ] ]
We implement an algorithm RSHT (Random Simple-Homotopy) to study the simple-homotopy types of simplicial complexes, with a particular focus on contractible spaces and on finding substructures in higher-dimensional complexes. The algorithm combines elementary simplicial collapses with pure elementary expansions. For tri...
1709.10177
Maria-Laura Torrente
Maria-Laura Torrente, Silvia Biasotti, Bianca Falcidieno
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
null
Pattern Recognition, Volume 73, Pages 1-288 (January 2018)
10.1016/j.patcog.2017.08.008
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Feature curves are largely adopted to highlight shape features, such as sharp lines, or to divide surfaces into meaningful segments, like convex or concave regions. Extracting these curves is not sufficient to convey prominent and meaningful information about a shape. We have first to separate the curves belonging to...
[ { "created": "Thu, 28 Sep 2017 21:36:05 GMT", "version": "v1" } ]
2017-10-02
[ [ "Torrente", "Maria-Laura", "" ], [ "Biasotti", "Silvia", "" ], [ "Falcidieno", "Bianca", "" ] ]
Feature curves are largely adopted to highlight shape features, such as sharp lines, or to divide surfaces into meaningful segments, like convex or concave regions. Extracting these curves is not sufficient to convey prominent and meaningful information about a shape. We have first to separate the curves belonging to f...
1901.03396
Ryan Webster
Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
Detecting Overfitting of Deep Generative Networks via Latent Recovery
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
State of the art deep generative networks are capable of producing images with such incredible realism that they can be suspected of memorizing training images. It is why it is not uncommon to include visualizations of training set nearest neighbors, to suggest generated images are not simply memorized. We demonstrat...
[ { "created": "Wed, 9 Jan 2019 16:29:05 GMT", "version": "v1" } ]
2019-01-14
[ [ "Webster", "Ryan", "" ], [ "Rabin", "Julien", "" ], [ "Simon", "Loic", "" ], [ "Jurie", "Frederic", "" ] ]
State of the art deep generative networks are capable of producing images with such incredible realism that they can be suspected of memorizing training images. It is why it is not uncommon to include visualizations of training set nearest neighbors, to suggest generated images are not simply memorized. We demonstrate ...
2406.12975
Xiaoze Liu
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
null
null
null
null
cs.CL cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have transformed machine learning but raised significant legal concerns due to their potential to produce text that infringes on copyrights, resulting in several high-profile lawsuits. The legal landscape is struggling to keep pace with these rapid advancements, with ongoing debates about...
[ { "created": "Tue, 18 Jun 2024 18:00:03 GMT", "version": "v1" } ]
2024-06-21
[ [ "Liu", "Xiaoze", "" ], [ "Sun", "Ting", "" ], [ "Xu", "Tianyang", "" ], [ "Wu", "Feijie", "" ], [ "Wang", "Cunxiang", "" ], [ "Wang", "Xiaoqian", "" ], [ "Gao", "Jing", "" ] ]
Large Language Models (LLMs) have transformed machine learning but raised significant legal concerns due to their potential to produce text that infringes on copyrights, resulting in several high-profile lawsuits. The legal landscape is struggling to keep pace with these rapid advancements, with ongoing debates about w...
2104.14234
Jannis Clausius
Jannis Clausius, Sebastian D\"orner, Sebastian Cammerer, Stephan ten Brink
Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes
Submitted to ISTC 2021
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Attracted by its scalability towards practical codeword lengths, we revisit the idea of Turbo-autoencoders for end-to-end learning of PHY-Layer communications. For this, we study the existing concepts of Turbo-autoencoders from the literature and compare the concept with state-of-the-art classical coding schemes. We ...
[ { "created": "Thu, 29 Apr 2021 09:54:22 GMT", "version": "v1" }, { "created": "Thu, 22 Jul 2021 08:04:45 GMT", "version": "v2" } ]
2021-07-23
[ [ "Clausius", "Jannis", "" ], [ "Dörner", "Sebastian", "" ], [ "Cammerer", "Sebastian", "" ], [ "Brink", "Stephan ten", "" ] ]
Attracted by its scalability towards practical codeword lengths, we revisit the idea of Turbo-autoencoders for end-to-end learning of PHY-Layer communications. For this, we study the existing concepts of Turbo-autoencoders from the literature and compare the concept with state-of-the-art classical coding schemes. We pr...
2312.11556
Juan A. Rodriguez
Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, David Vazquez, Christopher Pal, and Marco Pedersoli
StarVector: Generating Scalable Vector Graphics Code from Images
null
null
null
null
cs.CV cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Scalable Vector Graphics (SVGs) have become integral in modern image rendering applications due to their infinite scalability in resolution, versatile usability, and editing capabilities. SVGs are particularly popular in the fields of web development and graphic design. Existing approaches for SVG modeling using deep...
[ { "created": "Sun, 17 Dec 2023 08:07:32 GMT", "version": "v1" } ]
2023-12-20
[ [ "Rodriguez", "Juan A.", "" ], [ "Agarwal", "Shubham", "" ], [ "Laradji", "Issam H.", "" ], [ "Rodriguez", "Pau", "" ], [ "Vazquez", "David", "" ], [ "Pal", "Christopher", "" ], [ "Pedersoli", "Marco", "" ...
Scalable Vector Graphics (SVGs) have become integral in modern image rendering applications due to their infinite scalability in resolution, versatile usability, and editing capabilities. SVGs are particularly popular in the fields of web development and graphic design. Existing approaches for SVG modeling using deep l...
2011.06680
Pouya Agheli
Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand
Cognitive RF-FSO Fronthaul Assignment in Cell-Free and User-Centric mMIMO Networks
14 pages, 10 figures, This work has been submitted for possible publication
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Cell-free massive MIMO (CF-mMIMO) network and its user-centric (UC) version are considered as promising techniques for the next generations of wireless networks. However, fronthaul and backhaul assignments are challenging issues in these networks. In this paper, energy efficiencies of uplink transmission for the CF- ...
[ { "created": "Thu, 12 Nov 2020 22:56:42 GMT", "version": "v1" }, { "created": "Wed, 18 Nov 2020 10:50:01 GMT", "version": "v2" }, { "created": "Tue, 9 Mar 2021 10:37:16 GMT", "version": "v3" } ]
2021-03-10
[ [ "Agheli", "Pouya", "" ], [ "Emadi", "Mohammad Javad", "" ], [ "Beyranvand", "Hamzeh", "" ] ]
Cell-free massive MIMO (CF-mMIMO) network and its user-centric (UC) version are considered as promising techniques for the next generations of wireless networks. However, fronthaul and backhaul assignments are challenging issues in these networks. In this paper, energy efficiencies of uplink transmission for the CF- an...
2104.03631
Daniel Reti
Daniel Reti, Daniel Fraunholz, Janis Zemitis, Daniel Schneider, Hans Dieter Schotten
Deep Down the Rabbit Hole: On References in Networks of Decoy Elements
null
2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)
10.1109/CyberSecurity49315.2020.9138850
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deception technology has proven to be a sound approach against threats to information systems. Aside from well-established honeypots, decoy elements, also known as honeytokens, are an excellent method to address various types of threats. Decoy elements are causing distraction and uncertainty to an attacker and help d...
[ { "created": "Thu, 8 Apr 2021 09:34:05 GMT", "version": "v1" } ]
2021-04-09
[ [ "Reti", "Daniel", "" ], [ "Fraunholz", "Daniel", "" ], [ "Zemitis", "Janis", "" ], [ "Schneider", "Daniel", "" ], [ "Schotten", "Hans Dieter", "" ] ]
Deception technology has proven to be a sound approach against threats to information systems. Aside from well-established honeypots, decoy elements, also known as honeytokens, are an excellent method to address various types of threats. Decoy elements are causing distraction and uncertainty to an attacker and help det...