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2009.09931
Harshit Pande
Harshit Pande
Field-Embedded Factorization Machines for Click-through rate prediction
13 pages
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Click-through rate (CTR) prediction models are common in many online applications such as digital advertising and recommender systems. Field-Aware Factorization Machine (FFM) and Field-weighted Factorization Machine (FwFM) are state-of-the-art among the shallow models for CTR prediction. Recently, many deep learning-...
[ { "created": "Sun, 13 Sep 2020 15:32:42 GMT", "version": "v1" }, { "created": "Mon, 14 Jun 2021 18:45:02 GMT", "version": "v2" } ]
2021-06-16
[ [ "Pande", "Harshit", "" ] ]
Click-through rate (CTR) prediction models are common in many online applications such as digital advertising and recommender systems. Field-Aware Factorization Machine (FFM) and Field-weighted Factorization Machine (FwFM) are state-of-the-art among the shallow models for CTR prediction. Recently, many deep learning-ba...
1905.03277
Bartlomiej Wronski
Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst, Damien Kelly, Michael Krainin, Chia-Kai Liang, Marc Levoy, Peyman Milanfar
Handheld Multi-Frame Super-Resolution
24 pages, accepted to Siggraph 2019 Technical Papers program
null
10.1145/3306346.3323024
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their spatial resolution; smaller apertures, which limits their light gathering ability; and smaller pixels, which reduces their signal-to noise ratio. The use of color filter arrays (CFAs) requires demosaicing, which further degrades res...
[ { "created": "Wed, 8 May 2019 18:09:15 GMT", "version": "v1" }, { "created": "Tue, 16 Feb 2021 23:06:58 GMT", "version": "v2" } ]
2021-02-18
[ [ "Wronski", "Bartlomiej", "" ], [ "Garcia-Dorado", "Ignacio", "" ], [ "Ernst", "Manfred", "" ], [ "Kelly", "Damien", "" ], [ "Krainin", "Michael", "" ], [ "Liang", "Chia-Kai", "" ], [ "Levoy", "Marc", "" ]...
Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their spatial resolution; smaller apertures, which limits their light gathering ability; and smaller pixels, which reduces their signal-to noise ratio. The use of color filter arrays (CFAs) requires demosaicing, which further degrades resol...
2106.10672
Marta Lagomarsino
Marta Lagomarsino (1,2), Vincent Groenhuis (1), Maura Casadio (2), Marcel K. Welleweerd (1), Francoise J. Siepel (1), Stefano Stramigioli (1) ((1) Robotics and Mechatronics (RAM) Laboratory, University of Twente, Enschede, The Netherlands) ((2) DIBRIS, University of Genoa, Genoa, Italy)
Image-guided Breast Biopsy of MRI-visible Lesions with a Hand-mounted Motorised Needle Steering Tool
Submitted to 2021 International Symposium on Medical Robotics (ISMR)
null
10.1109/ISMR48346.2021.9661564
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging information and the deformations of the breast make it challenging to bring t...
[ { "created": "Sun, 20 Jun 2021 10:40:16 GMT", "version": "v1" } ]
2022-03-11
[ [ "Lagomarsino", "Marta", "", "DIBRIS, University of Genoa, Genoa, Italy" ], [ "Groenhuis", "Vincent", "", "DIBRIS, University of Genoa, Genoa, Italy" ], [ "Casadio", "Maura", "", "DIBRIS, University of Genoa, Genoa, Italy" ], [ "Welleweerd", "Marc...
A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging information and the deformations of the breast make it challenging to bring the...
2207.03116
Giovanni Luca Marchetti
Giovanni Luca Marchetti, Gustaf Tegn\'er, Anastasiia Varava, Danica Kragic
Equivariant Representation Learning via Class-Pose Decomposition
12 pages
null
null
null
cs.LG math.GR
http://creativecommons.org/licenses/by/4.0/
We introduce a general method for learning representations that are equivariant to symmetries of data. Our central idea is to decompose the latent space into an invariant factor and the symmetry group itself. The components semantically correspond to intrinsic data classes and poses respectively. The learner is train...
[ { "created": "Thu, 7 Jul 2022 06:55:52 GMT", "version": "v1" }, { "created": "Mon, 11 Jul 2022 06:10:58 GMT", "version": "v2" }, { "created": "Tue, 7 Feb 2023 12:40:18 GMT", "version": "v3" } ]
2023-02-08
[ [ "Marchetti", "Giovanni Luca", "" ], [ "Tegnér", "Gustaf", "" ], [ "Varava", "Anastasiia", "" ], [ "Kragic", "Danica", "" ] ]
We introduce a general method for learning representations that are equivariant to symmetries of data. Our central idea is to decompose the latent space into an invariant factor and the symmetry group itself. The components semantically correspond to intrinsic data classes and poses respectively. The learner is trained...
1902.02804
Yuhong Li
Yuhong Li, Xiaofan Zhang, Deming Chen
SiamVGG: Visual Tracking using Deeper Siamese Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, we have seen a rapid development of Deep Neural Network (DNN) based visual tracking solutions. Some trackers combine the DNN-based solutions with Discriminative Correlation Filters (DCF) to extract semantic features and successfully deliver the state-of-the-art tracking accuracy. However, these solutions ar...
[ { "created": "Thu, 7 Feb 2019 19:08:34 GMT", "version": "v1" }, { "created": "Sun, 3 Mar 2019 22:00:10 GMT", "version": "v2" }, { "created": "Sun, 19 Jun 2022 17:27:44 GMT", "version": "v3" }, { "created": "Mon, 4 Jul 2022 04:20:23 GMT", "version": "v4" } ]
2022-07-05
[ [ "Li", "Yuhong", "" ], [ "Zhang", "Xiaofan", "" ], [ "Chen", "Deming", "" ] ]
Recently, we have seen a rapid development of Deep Neural Network (DNN) based visual tracking solutions. Some trackers combine the DNN-based solutions with Discriminative Correlation Filters (DCF) to extract semantic features and successfully deliver the state-of-the-art tracking accuracy. However, these solutions are ...
2308.07132
Sai Subramanyam Thoota
Sai Subramanyam Thoota, Joao Vieira, and Erik G. Larsson
Data-Driven Robust Beamforming for Initial Access
6 pages, 6 figures, Accepted in IEEE GLOBECOM 2023
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a robust beamforming problem where large amount of downlink (DL) channel state information (CSI) data available at a multiple antenna access point (AP) is used to improve the link quality to a user equipment (UE) for beyond-5G and 6G applications such as environment-specific initial access (IA) or wireles...
[ { "created": "Mon, 14 Aug 2023 13:38:30 GMT", "version": "v1" } ]
2023-08-15
[ [ "Thoota", "Sai Subramanyam", "" ], [ "Vieira", "Joao", "" ], [ "Larsson", "Erik G.", "" ] ]
We consider a robust beamforming problem where large amount of downlink (DL) channel state information (CSI) data available at a multiple antenna access point (AP) is used to improve the link quality to a user equipment (UE) for beyond-5G and 6G applications such as environment-specific initial access (IA) or wireless ...
2407.06194
Messi H.J. Lee
Messi H.J. Lee, Jacob M. Montgomery, Calvin K. Lai
More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models
null
null
null
null
cs.CV cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Vision Language Models (VLMs), exemplified by GPT-4V, adeptly integrate text and vision modalities. This integration enhances Large Language Models' ability to mimic human perception, allowing them to process image inputs. Despite VLMs' advanced capabilities, however, there is a concern that VLMs inherit biases of bo...
[ { "created": "Wed, 22 May 2024 00:45:29 GMT", "version": "v1" } ]
2024-07-10
[ [ "Lee", "Messi H. J.", "" ], [ "Montgomery", "Jacob M.", "" ], [ "Lai", "Calvin K.", "" ] ]
Vision Language Models (VLMs), exemplified by GPT-4V, adeptly integrate text and vision modalities. This integration enhances Large Language Models' ability to mimic human perception, allowing them to process image inputs. Despite VLMs' advanced capabilities, however, there is a concern that VLMs inherit biases of both...
2110.14287
Adam Faci
Adam Faci (LFI, TRT), Marie-Jeanne Lesot (LFI), Claire Laudy (TRT)
CG2A: Conceptual Graphs Generation Algorithm
null
Proc. of the Int. Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT2021), Sep 2021, Bratislava, Slovakia
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conceptual Graphs (CGs) are a formalism to represent knowledge. However producing a CG database is complex. To the best of our knowledge, existing methods do not fully use the expressivity of CGs. It is particularly troublesome as it is necessary to have CG databases to test and validate algorithms running on CGs. Th...
[ { "created": "Wed, 27 Oct 2021 09:08:38 GMT", "version": "v1" } ]
2021-10-28
[ [ "Faci", "Adam", "", "LFI, TRT" ], [ "Lesot", "Marie-Jeanne", "", "LFI" ], [ "Laudy", "Claire", "", "TRT" ] ]
Conceptual Graphs (CGs) are a formalism to represent knowledge. However producing a CG database is complex. To the best of our knowledge, existing methods do not fully use the expressivity of CGs. It is particularly troublesome as it is necessary to have CG databases to test and validate algorithms running on CGs. This...
1505.04726
Pedro Ribeiro
Pedro Ribeiro
Angelic Processes
Extended version of PhD thesis submitted to the University of York, UK, 868 pages, 10 figures, 7 tables (revised to match print version deposited in the White Rose eTheses Online), http://etheses.whiterose.ac.uk/9020/
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the formal modelling of systems, demonic and angelic nondeterminism play fundamental roles as abstraction mechanisms. The angelic nature of a choice pertains to the property of avoiding failure whenever possible. As a concept, angelic choice first appeared in automata theory and Turing machines, where it can be im...
[ { "created": "Mon, 18 May 2015 17:21:55 GMT", "version": "v1" }, { "created": "Thu, 28 May 2015 11:21:15 GMT", "version": "v2" } ]
2015-05-29
[ [ "Ribeiro", "Pedro", "" ] ]
In the formal modelling of systems, demonic and angelic nondeterminism play fundamental roles as abstraction mechanisms. The angelic nature of a choice pertains to the property of avoiding failure whenever possible. As a concept, angelic choice first appeared in automata theory and Turing machines, where it can be impl...
2204.12620
Francesco Pase
Francesco Pase, Deniz G\"und\"uz, Michele Zorzi
Rate-Constrained Remote Contextual Bandits
Submitted to IEEE JSAIT
null
null
null
cs.LG cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) problem, in which a group of agents are solving the same contextual multi-armed bandit (CMAB) problem. However, the contexts are observed by a remotely connected entity, i.e., the decision-maker, that updates the policy to maximize the returned re...
[ { "created": "Tue, 26 Apr 2022 22:34:54 GMT", "version": "v1" } ]
2022-04-28
[ [ "Pase", "Francesco", "" ], [ "Gündüz", "Deniz", "" ], [ "Zorzi", "Michele", "" ] ]
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) problem, in which a group of agents are solving the same contextual multi-armed bandit (CMAB) problem. However, the contexts are observed by a remotely connected entity, i.e., the decision-maker, that updates the policy to maximize the returned rewa...
1904.07512
Wei Wang Dr.
Guochao Song, Wei Wang, Da Chen, and Tao Jiang
KPI/KQI-Driven Coordinated Multi-Point in 5G: Measurements, Field Trials, and Technical Solutions
null
null
10.1109/MWC.2018.1800041
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fifth generation (5G) systems are expected to be able to support massive number of wireless devices and intense demands for high data rates while maintaining low latency. Coordinated multipoint (CoMP) is advocated by recent advances and is envisioned to continue its adoption in 5G to meet these requirements by al...
[ { "created": "Tue, 16 Apr 2019 07:48:48 GMT", "version": "v1" } ]
2019-04-17
[ [ "Song", "Guochao", "" ], [ "Wang", "Wei", "" ], [ "Chen", "Da", "" ], [ "Jiang", "Tao", "" ] ]
The fifth generation (5G) systems are expected to be able to support massive number of wireless devices and intense demands for high data rates while maintaining low latency. Coordinated multipoint (CoMP) is advocated by recent advances and is envisioned to continue its adoption in 5G to meet these requirements by alle...
2406.11866
Dejan Grba
Gordan Krekovic, Antonio Poscic, Dejan Grba
Toward an Artist-Centred AI
null
Journal of Science and Technology of the Arts, 15(2), 101-120
10.34632/jsta.2023.15724
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Awareness about the immense impact that artificial intelligence (AI) might have or already has made on the social, economic, political, and cultural realities of our world has become part of the mainstream public discourse. Attributes such as ethical, responsible, or explainable emerge as associative and descriptive ...
[ { "created": "Sat, 13 Apr 2024 09:43:23 GMT", "version": "v1" } ]
2024-06-19
[ [ "Krekovic", "Gordan", "" ], [ "Poscic", "Antonio", "" ], [ "Grba", "Dejan", "" ] ]
Awareness about the immense impact that artificial intelligence (AI) might have or already has made on the social, economic, political, and cultural realities of our world has become part of the mainstream public discourse. Attributes such as ethical, responsible, or explainable emerge as associative and descriptive no...
2203.09034
Liang Peng
Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, and Xiaoxiao Li
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
null
IEEE Transactions on Medical Imaging 2022
10.1109/TMI.2022.3201974
null
cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we focus on the challenging task, neuro-disease classification, using functional magnetic resonance imaging (fMRI). In population graph-based disease analysis, graph convolutional neural networks (GCNs) have achieved remarkable success. However, these achievements are inseparable from abundant labeled d...
[ { "created": "Thu, 17 Mar 2022 02:23:30 GMT", "version": "v1" }, { "created": "Mon, 25 Jul 2022 03:14:15 GMT", "version": "v2" }, { "created": "Sat, 27 Aug 2022 09:23:19 GMT", "version": "v3" } ]
2022-11-29
[ [ "Peng", "Liang", "" ], [ "Wang", "Nan", "" ], [ "Xu", "Jie", "" ], [ "Zhu", "Xiaofeng", "" ], [ "Li", "Xiaoxiao", "" ] ]
In this work, we focus on the challenging task, neuro-disease classification, using functional magnetic resonance imaging (fMRI). In population graph-based disease analysis, graph convolutional neural networks (GCNs) have achieved remarkable success. However, these achievements are inseparable from abundant labeled dat...
2309.08382
Jingxiang Qu
Jingxiang Qu, Ryan Wen Liu, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-yue Wang
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance
12 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time transportation surveillance is an essential part of the intelligent transportation system (ITS). However, images captured under low-light conditions often suffer the poor visibility with types of degradation, such as noise interference and vague edge features, etc. With the development of imaging devices, t...
[ { "created": "Fri, 15 Sep 2023 13:16:24 GMT", "version": "v1" } ]
2023-09-18
[ [ "Qu", "Jingxiang", "" ], [ "Liu", "Ryan Wen", "" ], [ "Gao", "Yuan", "" ], [ "Guo", "Yu", "" ], [ "Zhu", "Fenghua", "" ], [ "Wang", "Fei-yue", "" ] ]
Real-time transportation surveillance is an essential part of the intelligent transportation system (ITS). However, images captured under low-light conditions often suffer the poor visibility with types of degradation, such as noise interference and vague edge features, etc. With the development of imaging devices, the...
1709.01766
Wen Zhang
Wen Zhang, Jiawei Hu, Yang Feng and Qun Liu
Information-Propogation-Enhanced Neural Machine Translation by Relation Model
i am planned to improve my experiments and modified our paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even though sequence-to-sequence neural machine translation (NMT) model have achieved state-of-art performance in the recent fewer years, but it is widely concerned that the recurrent neural network (RNN) units are very hard to capture the long-distance state information, which means RNN can hardly find the feature w...
[ { "created": "Wed, 6 Sep 2017 11:13:50 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2017 08:22:10 GMT", "version": "v2" }, { "created": "Fri, 25 May 2018 13:36:58 GMT", "version": "v3" } ]
2018-05-28
[ [ "Zhang", "Wen", "" ], [ "Hu", "Jiawei", "" ], [ "Feng", "Yang", "" ], [ "Liu", "Qun", "" ] ]
Even though sequence-to-sequence neural machine translation (NMT) model have achieved state-of-art performance in the recent fewer years, but it is widely concerned that the recurrent neural network (RNN) units are very hard to capture the long-distance state information, which means RNN can hardly find the feature wit...
1108.5793
Jianqin Zhou
Jianqin Zhou, Wanquan Liu
The $k$-error linear complexity distribution for $2^n$-periodic binary sequences
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/3.0/
The linear complexity and the $k$-error linear complexity of a sequence have been used as important security measures for key stream sequence strength in linear feedback shift register design. By studying the linear complexity of binary sequences with period $2^n$, one could convert the computation of $k$-error linea...
[ { "created": "Tue, 30 Aug 2011 01:39:11 GMT", "version": "v1" } ]
2011-08-31
[ [ "Zhou", "Jianqin", "" ], [ "Liu", "Wanquan", "" ] ]
The linear complexity and the $k$-error linear complexity of a sequence have been used as important security measures for key stream sequence strength in linear feedback shift register design. By studying the linear complexity of binary sequences with period $2^n$, one could convert the computation of $k$-error linear ...
2312.13424
Chong Zhang
Chong Zhang, Min Dong, Ben Liang, Ali Afana, Yahia Ahmed
Multi-Model Wireless Federated Learning with Downlink Beamforming
6 pages, 4 figures. Accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the design of wireless federated learning (FL) for simultaneously training multiple machine learning models. We consider round robin device-model assignment and downlink beamforming for concurrent multiple model updates. After formulating the joint downlink-uplink transmission process, we derive th...
[ { "created": "Wed, 20 Dec 2023 21:03:08 GMT", "version": "v1" }, { "created": "Mon, 15 Jan 2024 02:32:05 GMT", "version": "v2" } ]
2024-01-17
[ [ "Zhang", "Chong", "" ], [ "Dong", "Min", "" ], [ "Liang", "Ben", "" ], [ "Afana", "Ali", "" ], [ "Ahmed", "Yahia", "" ] ]
This paper studies the design of wireless federated learning (FL) for simultaneously training multiple machine learning models. We consider round robin device-model assignment and downlink beamforming for concurrent multiple model updates. After formulating the joint downlink-uplink transmission process, we derive the ...
2207.13247
Jogendra Nath Kundu
Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
ECCV 2022. Project page: https://sites.google.com/view/sticker-sfda
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The prime challenge in unsupervised domain adaptation (DA) is to mitigate the domain shift between the source and target domains. Prior DA works show that pretext tasks could be used to mitigate this domain shift by learning domain invariant representations. However, in practice, we find that most existing pretext ta...
[ { "created": "Wed, 27 Jul 2022 02:25:09 GMT", "version": "v1" } ]
2022-07-28
[ [ "Kundu", "Jogendra Nath", "" ], [ "Bhambri", "Suvaansh", "" ], [ "Kulkarni", "Akshay", "" ], [ "Sarkar", "Hiran", "" ], [ "Jampani", "Varun", "" ], [ "Babu", "R. Venkatesh", "" ] ]
The prime challenge in unsupervised domain adaptation (DA) is to mitigate the domain shift between the source and target domains. Prior DA works show that pretext tasks could be used to mitigate this domain shift by learning domain invariant representations. However, in practice, we find that most existing pretext task...
2310.12037
Saleh Darzi
Saleh Darzi, Kasra Ahmadi, Saeed Aghapour, Attila Altay Yavuz, Mehran Mozaffari Kermani
Envisioning the Future of Cyber Security in Post-Quantum Era: A Survey on PQ Standardization, Applications, Challenges and Opportunities
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The rise of quantum computers exposes vulnerabilities in current public key cryptographic protocols, necessitating the development of secure post-quantum (PQ) schemes. Hence, we conduct a comprehensive study on various PQ approaches, covering the constructional design, structural vulnerabilities, and offer security a...
[ { "created": "Wed, 18 Oct 2023 15:21:41 GMT", "version": "v1" } ]
2023-10-19
[ [ "Darzi", "Saleh", "" ], [ "Ahmadi", "Kasra", "" ], [ "Aghapour", "Saeed", "" ], [ "Yavuz", "Attila Altay", "" ], [ "Kermani", "Mehran Mozaffari", "" ] ]
The rise of quantum computers exposes vulnerabilities in current public key cryptographic protocols, necessitating the development of secure post-quantum (PQ) schemes. Hence, we conduct a comprehensive study on various PQ approaches, covering the constructional design, structural vulnerabilities, and offer security ass...
0805.0915
EDA Publishing Association
Ching-Liang Dai, Jin-Yu Hong, Mao-Chen Liu
High Q-factor CMOS-MEMS inductor
Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/handle/2042/16838)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2008, Nice : France (2008)
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study investigates a high Q-factor spiral inductor fabricated by the CMOS (complementary metal oxide semiconductor) process and a post-process. The spiral inductor is manufactured on silicon substrate using the 0.35 micrometers CMOS process. In order to reduce the substrate loss and enhance the Q-factor of the i...
[ { "created": "Wed, 7 May 2008 09:34:56 GMT", "version": "v1" } ]
2008-12-18
[ [ "Dai", "Ching-Liang", "" ], [ "Hong", "Jin-Yu", "" ], [ "Liu", "Mao-Chen", "" ] ]
This study investigates a high Q-factor spiral inductor fabricated by the CMOS (complementary metal oxide semiconductor) process and a post-process. The spiral inductor is manufactured on silicon substrate using the 0.35 micrometers CMOS process. In order to reduce the substrate loss and enhance the Q-factor of the ind...
1312.0194
Krasimir Yordzhev
Krasimir Yordzhev
Some Combinatorial Problems on Binary Matrices in Programming Courses
null
Informational Technologies in Education, 2012, 12, 39-43
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The study proves the existence of an algorithm to receive all elements of a class of binary matrices without obtaining redundant elements, e. g. without obtaining binary matrices that do not belong to the class. This makes it possible to avoid checking whether each of the objects received possesses the necessary prop...
[ { "created": "Sun, 1 Dec 2013 09:05:14 GMT", "version": "v1" } ]
2013-12-03
[ [ "Yordzhev", "Krasimir", "" ] ]
The study proves the existence of an algorithm to receive all elements of a class of binary matrices without obtaining redundant elements, e. g. without obtaining binary matrices that do not belong to the class. This makes it possible to avoid checking whether each of the objects received possesses the necessary proper...
1609.05814
Pieter Abbeel
Pieter Abbeel, Ken Goldberg, Gregory Hager, Julie Shah
Toward a Science of Autonomy for Physical Systems: Paths
A Computing Community Consortium (CCC) white paper, 10 pages
null
null
null
cs.CY cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An Autonomous Physical System (APS) will be expected to reliably and independently evaluate, execute, and achieve goals while respecting surrounding rules, laws, or conventions. In doing so, an APS must rely on a broad spectrum of dynamic, complex, and often imprecise information about its surroundings, the task it i...
[ { "created": "Mon, 19 Sep 2016 16:24:05 GMT", "version": "v1" } ]
2016-09-20
[ [ "Abbeel", "Pieter", "" ], [ "Goldberg", "Ken", "" ], [ "Hager", "Gregory", "" ], [ "Shah", "Julie", "" ] ]
An Autonomous Physical System (APS) will be expected to reliably and independently evaluate, execute, and achieve goals while respecting surrounding rules, laws, or conventions. In doing so, an APS must rely on a broad spectrum of dynamic, complex, and often imprecise information about its surroundings, the task it is ...
1206.2187
Lluis Pamies-Juarez
Lluis Pamies-Juarez, Fr\'ed\'erique Oggier, Anwitaman Datta
An Empirical Study of the Repair Performance of Novel Coding Schemes for Networked Distributed Storage Systems
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Erasure coding techniques are getting integrated in networked distributed storage systems as a way to provide fault-tolerance at the cost of less storage overhead than traditional replication. Redundancy is maintained over time through repair mechanisms, which may entail large network resource overheads. In recent ye...
[ { "created": "Mon, 11 Jun 2012 12:55:53 GMT", "version": "v1" } ]
2012-06-12
[ [ "Pamies-Juarez", "Lluis", "" ], [ "Oggier", "Frédérique", "" ], [ "Datta", "Anwitaman", "" ] ]
Erasure coding techniques are getting integrated in networked distributed storage systems as a way to provide fault-tolerance at the cost of less storage overhead than traditional replication. Redundancy is maintained over time through repair mechanisms, which may entail large network resource overheads. In recent year...
2006.01315
Oualid Laiadi
Oualid Laiadi and Abdelmalik Ouamane and Abdelhamid Benakcha and Abdelmalik Taleb-Ahmed and Abdenour Hadid
Multi-view Deep Features for Robust Facial Kinship Verification
Will appear as part of RFIW2020 in the Proceedings of 2020 International Conference on Automatic Face and Gesture Recognition (IEEE AMFG)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic kinship verification from facial images is an emerging research topic in machine learning community. In this paper, we proposed an effective facial features extraction model based on multi-view deep features. Thus, we used four pre-trained deep learning models using eight features layers (FC6 and FC7 layers...
[ { "created": "Mon, 1 Jun 2020 23:33:18 GMT", "version": "v1" } ]
2020-06-03
[ [ "Laiadi", "Oualid", "" ], [ "Ouamane", "Abdelmalik", "" ], [ "Benakcha", "Abdelhamid", "" ], [ "Taleb-Ahmed", "Abdelmalik", "" ], [ "Hadid", "Abdenour", "" ] ]
Automatic kinship verification from facial images is an emerging research topic in machine learning community. In this paper, we proposed an effective facial features extraction model based on multi-view deep features. Thus, we used four pre-trained deep learning models using eight features layers (FC6 and FC7 layers o...
1808.00193
Chen Yukang
Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang
Reinforced Evolutionary Neural Architecture Search
null
null
null
null
cs.NE cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Architecture Search (NAS) is an important yet challenging task in network design due to its high computational consumption. To address this issue, we propose the Reinforced Evolutionary Neural Architecture Search (RE- NAS), which is an evolutionary method with the reinforced mutation for NAS. Our method integr...
[ { "created": "Wed, 1 Aug 2018 06:53:53 GMT", "version": "v1" }, { "created": "Fri, 7 Sep 2018 02:09:29 GMT", "version": "v2" }, { "created": "Wed, 10 Apr 2019 11:12:02 GMT", "version": "v3" } ]
2019-04-11
[ [ "Chen", "Yukang", "" ], [ "Meng", "Gaofeng", "" ], [ "Zhang", "Qian", "" ], [ "Xiang", "Shiming", "" ], [ "Huang", "Chang", "" ], [ "Mu", "Lisen", "" ], [ "Wang", "Xinggang", "" ] ]
Neural Architecture Search (NAS) is an important yet challenging task in network design due to its high computational consumption. To address this issue, we propose the Reinforced Evolutionary Neural Architecture Search (RE- NAS), which is an evolutionary method with the reinforced mutation for NAS. Our method integrat...
2308.10435
Nathalia Nascimento
Nathalia Nascimento and Paulo Alencar and Donald Cowan
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
8 pages
null
null
null
cs.MA cs.AI cs.NE cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Transformers (GPT) with multiagent (MAS) systems. Venturing beyond traditional adaptive approaches that generally require long training process...
[ { "created": "Mon, 21 Aug 2023 03:08:16 GMT", "version": "v1" } ]
2023-08-22
[ [ "Nascimento", "Nathalia", "" ], [ "Alencar", "Paulo", "" ], [ "Cowan", "Donald", "" ] ]
This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Transformers (GPT) with multiagent (MAS) systems. Venturing beyond traditional adaptive approaches that generally require long training processes...
1508.00680
Kexin Xiao
Baicen Xiao, Kexin Xiao, Shutian Zhang, Zhiyong Chen, Bin Xia and Hui Liu
Iterative detection and decoding for SCMA systems with LDPC codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sparse code multiple access (SCMA) is a promising multiplexing approach to achieve high system capacity. In this paper, we develop a novel iterative detection and decoding scheme for SCMA systems combined with Low-density Parity-check (LDPC) decoding. In particular, we decompose the output of the message passing algo...
[ { "created": "Tue, 4 Aug 2015 07:03:05 GMT", "version": "v1" } ]
2015-08-05
[ [ "Xiao", "Baicen", "" ], [ "Xiao", "Kexin", "" ], [ "Zhang", "Shutian", "" ], [ "Chen", "Zhiyong", "" ], [ "Xia", "Bin", "" ], [ "Liu", "Hui", "" ] ]
Sparse code multiple access (SCMA) is a promising multiplexing approach to achieve high system capacity. In this paper, we develop a novel iterative detection and decoding scheme for SCMA systems combined with Low-density Parity-check (LDPC) decoding. In particular, we decompose the output of the message passing algori...
1603.05208
Mo Chen
Somil Bansal and Mo Chen and Jaime F. Fisac and Claire J. Tomlin
Safe Sequential Path Planning Under Disturbances and Imperfect Information
American Control Conference, 2017
null
null
null
cs.MA cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-UAV systems are safety-critical, and guarantees must be made to ensure no unsafe configurations occur. Hamilton-Jacobi (HJ) reachability is ideal for analyzing such safety-critical systems; however, its direct application is limited to small-scale systems of no more than two vehicles due to an exponentially-sca...
[ { "created": "Wed, 16 Mar 2016 18:30:02 GMT", "version": "v1" }, { "created": "Sun, 2 Oct 2016 19:09:46 GMT", "version": "v2" }, { "created": "Thu, 8 Jun 2017 16:47:14 GMT", "version": "v3" } ]
2017-06-09
[ [ "Bansal", "Somil", "" ], [ "Chen", "Mo", "" ], [ "Fisac", "Jaime F.", "" ], [ "Tomlin", "Claire J.", "" ] ]
Multi-UAV systems are safety-critical, and guarantees must be made to ensure no unsafe configurations occur. Hamilton-Jacobi (HJ) reachability is ideal for analyzing such safety-critical systems; however, its direct application is limited to small-scale systems of no more than two vehicles due to an exponentially-scali...
1702.03068
Tyler Crain
Tyler Crain, Vincent Gramoli, Mikel Larrea, Michel Raynal
DBFT: Efficient Byzantine Consensus with a Weak Coordinator and its Application to Consortium Blockchains
null
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a deterministic Byzantine consensus algorithm that relies on a new weak coordinator. As opposed to previous algorithms that cannot terminate in the presence of a faulty or slow coordinator, our algorithm can terminate even when its coordinator is faulty, hence the name weak coordinator. The key ...
[ { "created": "Fri, 10 Feb 2017 05:21:43 GMT", "version": "v1" }, { "created": "Wed, 22 Feb 2017 07:28:01 GMT", "version": "v2" }, { "created": "Wed, 25 Jul 2018 07:49:14 GMT", "version": "v3" } ]
2018-07-26
[ [ "Crain", "Tyler", "" ], [ "Gramoli", "Vincent", "" ], [ "Larrea", "Mikel", "" ], [ "Raynal", "Michel", "" ] ]
This paper introduces a deterministic Byzantine consensus algorithm that relies on a new weak coordinator. As opposed to previous algorithms that cannot terminate in the presence of a faulty or slow coordinator, our algorithm can terminate even when its coordinator is faulty, hence the name weak coordinator. The key id...
1904.04614
Mario Zanon
Mario Zanon, S\'ebastien Gros, Alberto Bemporad
Practical Reinforcement Learning of Stabilizing Economic MPC
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement Learning (RL) has demonstrated a huge potential in learning optimal policies without any prior knowledge of the process to be controlled. Model Predictive Control (MPC) is a popular control technique which is able to deal with nonlinear dynamics and state and input constraints. The main drawback of MPC ...
[ { "created": "Tue, 9 Apr 2019 12:01:42 GMT", "version": "v1" } ]
2019-04-10
[ [ "Zanon", "Mario", "" ], [ "Gros", "Sébastien", "" ], [ "Bemporad", "Alberto", "" ] ]
Reinforcement Learning (RL) has demonstrated a huge potential in learning optimal policies without any prior knowledge of the process to be controlled. Model Predictive Control (MPC) is a popular control technique which is able to deal with nonlinear dynamics and state and input constraints. The main drawback of MPC is...
2312.13286
Xinlong Wang
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Generative Multimodal Models are In-Context Learners
Accepted to CVPR 2024. Project page: https://baaivision.github.io/emu2
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The human ability to easily solve multimodal tasks in context (i.e., with only a few demonstrations or simple instructions), is what current multimodal systems have largely struggled to imitate. In this work, we demonstrate that the task-agnostic in-context learning capabilities of large multimodal models can be sign...
[ { "created": "Wed, 20 Dec 2023 18:59:58 GMT", "version": "v1" }, { "created": "Wed, 8 May 2024 03:09:22 GMT", "version": "v2" } ]
2024-05-09
[ [ "Sun", "Quan", "" ], [ "Cui", "Yufeng", "" ], [ "Zhang", "Xiaosong", "" ], [ "Zhang", "Fan", "" ], [ "Yu", "Qiying", "" ], [ "Luo", "Zhengxiong", "" ], [ "Wang", "Yueze", "" ], [ "Rao", "Yongmin...
The human ability to easily solve multimodal tasks in context (i.e., with only a few demonstrations or simple instructions), is what current multimodal systems have largely struggled to imitate. In this work, we demonstrate that the task-agnostic in-context learning capabilities of large multimodal models can be signif...
1610.02209
Marta R. Costa-juss\`a
Marta R. Costa-juss\`a and Carlos Escolano
Morphology Generation for Statistical Machine Translation using Deep Learning Techniques
null
null
null
null
cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Morphology in unbalanced languages remains a big challenge in the context of machine translation. In this paper, we propose to de-couple machine translation from morphology generation in order to better deal with the problem. We investigate the morphology simplification with a reasonable trade-off between expected ga...
[ { "created": "Fri, 7 Oct 2016 09:59:13 GMT", "version": "v1" }, { "created": "Mon, 6 Feb 2017 15:15:40 GMT", "version": "v2" } ]
2017-02-07
[ [ "Costa-jussà", "Marta R.", "" ], [ "Escolano", "Carlos", "" ] ]
Morphology in unbalanced languages remains a big challenge in the context of machine translation. In this paper, we propose to de-couple machine translation from morphology generation in order to better deal with the problem. We investigate the morphology simplification with a reasonable trade-off between expected gain...
2209.01288
Diyi Hu
Diyi Hu, Chi Zhang, Viktor Prasanna, Bhaskar Krishnamachari
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
null
null
null
null
cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Multi-Agent Reinforcement Learning, communication is critical to encourage cooperation among agents. Communication in realistic wireless networks can be highly unreliable due to network conditions varying with agents' mobility, and stochasticity in the transmission process. We propose a framework to learn practica...
[ { "created": "Fri, 2 Sep 2022 22:18:43 GMT", "version": "v1" } ]
2022-09-16
[ [ "Hu", "Diyi", "" ], [ "Zhang", "Chi", "" ], [ "Prasanna", "Viktor", "" ], [ "Krishnamachari", "Bhaskar", "" ] ]
In Multi-Agent Reinforcement Learning, communication is critical to encourage cooperation among agents. Communication in realistic wireless networks can be highly unreliable due to network conditions varying with agents' mobility, and stochasticity in the transmission process. We propose a framework to learn practical ...
2010.07929
Nils Funk
Nils Funk, Juan Tarrio, Sotiris Papatheodorou, Marija Popovic, Pablo F. Alcantarilla, Stefan Leutenegger
Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning
8 pages, 9 figures, 5 tables
null
10.1109/LRA.2021.3061989
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the aim of bridging the gap between high quality reconstruction and mobile robot motion planning, we propose an efficient system that leverages the concept of adaptive-resolution volumetric mapping, which naturally integrates with the hierarchical decomposition of space in an octree data structure. Instead of a ...
[ { "created": "Thu, 15 Oct 2020 17:59:07 GMT", "version": "v1" }, { "created": "Fri, 16 Oct 2020 13:25:41 GMT", "version": "v2" }, { "created": "Mon, 19 Oct 2020 11:54:28 GMT", "version": "v3" }, { "created": "Mon, 23 Nov 2020 15:35:13 GMT", "version": "v4" }, { "c...
2024-04-15
[ [ "Funk", "Nils", "" ], [ "Tarrio", "Juan", "" ], [ "Papatheodorou", "Sotiris", "" ], [ "Popovic", "Marija", "" ], [ "Alcantarilla", "Pablo F.", "" ], [ "Leutenegger", "Stefan", "" ] ]
With the aim of bridging the gap between high quality reconstruction and mobile robot motion planning, we propose an efficient system that leverages the concept of adaptive-resolution volumetric mapping, which naturally integrates with the hierarchical decomposition of space in an octree data structure. Instead of a Tr...
1903.10830
Stefan Popov
Rodrigo Benenson, Stefan Popov, Vittorio Ferrari
Large-scale interactive object segmentation with human annotators
Accepted at CVPR2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Manually annotating object segmentation masks is very time consuming. Interactive object segmentation methods offer a more efficient alternative where a human annotator and a machine segmentation model collaborate. In this paper we make several contributions to interactive segmentation: (1) we systematically explore ...
[ { "created": "Tue, 26 Mar 2019 12:26:38 GMT", "version": "v1" }, { "created": "Wed, 17 Apr 2019 15:11:28 GMT", "version": "v2" } ]
2019-04-18
[ [ "Benenson", "Rodrigo", "" ], [ "Popov", "Stefan", "" ], [ "Ferrari", "Vittorio", "" ] ]
Manually annotating object segmentation masks is very time consuming. Interactive object segmentation methods offer a more efficient alternative where a human annotator and a machine segmentation model collaborate. In this paper we make several contributions to interactive segmentation: (1) we systematically explore in...
2405.16105
Jiangwei Weng
Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in low light image enhancement have been dominated by Retinex-based learning framework, leveraging convolutional neural networks (CNNs) and Transformers. However, the vanilla Retinex theory primarily addresses global illumination degradation and neglects local issues such as noise and blur in dark con...
[ { "created": "Sat, 25 May 2024 07:31:49 GMT", "version": "v1" } ]
2024-05-28
[ [ "Weng", "Jiangwei", "" ], [ "Yan", "Zhiqiang", "" ], [ "Tai", "Ying", "" ], [ "Qian", "Jianjun", "" ], [ "Yang", "Jian", "" ], [ "Li", "Jun", "" ] ]
Recent advances in low light image enhancement have been dominated by Retinex-based learning framework, leveraging convolutional neural networks (CNNs) and Transformers. However, the vanilla Retinex theory primarily addresses global illumination degradation and neglects local issues such as noise and blur in dark condi...
1910.13827
Nikhil Oswal
Nikhil Oswal
Predicting Rainfall using Machine Learning Techniques
null
null
null
null
cs.LG physics.ao-ph stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rainfall prediction is one of the challenging and uncertain tasks which has a significant impact on human society. Timely and accurate predictions can help to proactively reduce human and financial loss. This study presents a set of experiments which involve the use of prevalent machine learning techniques to build m...
[ { "created": "Tue, 29 Oct 2019 01:42:15 GMT", "version": "v1" } ]
2019-10-31
[ [ "Oswal", "Nikhil", "" ] ]
Rainfall prediction is one of the challenging and uncertain tasks which has a significant impact on human society. Timely and accurate predictions can help to proactively reduce human and financial loss. This study presents a set of experiments which involve the use of prevalent machine learning techniques to build mod...
1407.1232
Abdullah Dertli Mr.
Abdullah Dertli, Yasemin Cengellenmis, Senol Eren
On Quantum Codes Obtained From Cyclic Codes Over F_2+vF_2+v^2F_2
null
null
null
null
cs.IT math.IT math.RA quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new Gray map which is both an isometry and a weight preserving map from R=F_2+vF_2+v^2F_2 to (F_2)^3 is defined. A construction for quantum error correcting codes from cyclic codes over finite ring R=F_2+vF_2+v^2F_2, v^3=v is given. The parameters of quantum codes which are obtained from cyclic codes over R are det...
[ { "created": "Thu, 19 Jun 2014 08:12:51 GMT", "version": "v1" } ]
2014-07-07
[ [ "Dertli", "Abdullah", "" ], [ "Cengellenmis", "Yasemin", "" ], [ "Eren", "Senol", "" ] ]
A new Gray map which is both an isometry and a weight preserving map from R=F_2+vF_2+v^2F_2 to (F_2)^3 is defined. A construction for quantum error correcting codes from cyclic codes over finite ring R=F_2+vF_2+v^2F_2, v^3=v is given. The parameters of quantum codes which are obtained from cyclic codes over R are deter...
1904.06230
George Hall
George T. Hall, Pietro S. Oliveto, Dirk Sudholt
On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
This work is accepted at GECCO 2019, and is extended to contain proofs
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithm configurators are automated methods to optimise the parameters of an algorithm for a class of problems. We evaluate the performance of a simple random local search configurator (ParamRLS) for tuning the neighbourhood size $k$ of the RLS$_k$ algorithm. We measure performance as the expected number of configu...
[ { "created": "Fri, 12 Apr 2019 13:35:47 GMT", "version": "v1" }, { "created": "Tue, 21 May 2019 07:05:09 GMT", "version": "v2" } ]
2019-05-22
[ [ "Hall", "George T.", "" ], [ "Oliveto", "Pietro S.", "" ], [ "Sudholt", "Dirk", "" ] ]
Algorithm configurators are automated methods to optimise the parameters of an algorithm for a class of problems. We evaluate the performance of a simple random local search configurator (ParamRLS) for tuning the neighbourhood size $k$ of the RLS$_k$ algorithm. We measure performance as the expected number of configura...
2212.06593
Jianyuan Guo
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang and Chang Xu
FastMIM: Expediting Masked Image Modeling Pre-training for Vision
Tech report
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The combination of transformers and masked image modeling (MIM) pre-training framework has shown great potential in various vision tasks. However, the pre-training computational budget is too heavy and withholds the MIM from becoming a practical training paradigm. This paper presents FastMIM, a simple and generic fra...
[ { "created": "Tue, 13 Dec 2022 14:09:32 GMT", "version": "v1" } ]
2022-12-14
[ [ "Guo", "Jianyuan", "" ], [ "Han", "Kai", "" ], [ "Wu", "Han", "" ], [ "Tang", "Yehui", "" ], [ "Wang", "Yunhe", "" ], [ "Xu", "Chang", "" ] ]
The combination of transformers and masked image modeling (MIM) pre-training framework has shown great potential in various vision tasks. However, the pre-training computational budget is too heavy and withholds the MIM from becoming a practical training paradigm. This paper presents FastMIM, a simple and generic frame...
2403.12985
Lingling Liu
Lingling Liu, Aimin Wang, Geng Sun, Jiahui Li, Hongyang Pan, Tony Q. S. Quek
Multi-objective Optimization for Data Collection in UAV-assisted Agricultural IoT
13 pages, 7 figures, 4 tables
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ground fixed base stations (BSs) are often deployed inflexibly, and have high overheads, as well as are susceptible to the damage from natural disasters, making it impractical for them to continuously collect data from sensor devices. To improve the network coverage and performance of wireless communication, unma...
[ { "created": "Sun, 3 Mar 2024 17:59:54 GMT", "version": "v1" } ]
2024-03-21
[ [ "Liu", "Lingling", "" ], [ "Wang", "Aimin", "" ], [ "Sun", "Geng", "" ], [ "Li", "Jiahui", "" ], [ "Pan", "Hongyang", "" ], [ "Quek", "Tony Q. S.", "" ] ]
The ground fixed base stations (BSs) are often deployed inflexibly, and have high overheads, as well as are susceptible to the damage from natural disasters, making it impractical for them to continuously collect data from sensor devices. To improve the network coverage and performance of wireless communication, unmann...
2206.08175
Surya Kant Sahu
Surya Kant Sahu, Sai Mitheran, Somya Suhans Mahapatra
Not All Lotteries Are Made Equal
Accepted at ICML 2022 HAET Workshop
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
The Lottery Ticket Hypothesis (LTH) states that for a reasonably sized neural network, a sub-network within the same network yields no less performance than the dense counterpart when trained from the same initialization. This work investigates the relation between model size and the ease of finding these sparse sub-...
[ { "created": "Thu, 16 Jun 2022 13:41:36 GMT", "version": "v1" } ]
2022-06-17
[ [ "Sahu", "Surya Kant", "" ], [ "Mitheran", "Sai", "" ], [ "Mahapatra", "Somya Suhans", "" ] ]
The Lottery Ticket Hypothesis (LTH) states that for a reasonably sized neural network, a sub-network within the same network yields no less performance than the dense counterpart when trained from the same initialization. This work investigates the relation between model size and the ease of finding these sparse sub-ne...
2108.12177
Adeep Hande
Adeep Hande, Karthik Puranik, Konthala Yasaswini, Ruba Priyadharshini, Sajeetha Thavareesan, Anbukkarasi Sampath, Kogilavani Shanmugavadivel, Durairaj Thenmozhi, Bharathi Raja Chakravarthi
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
27 pages, 12 figures, 10 tables
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Social media has effectively become the prime hub of communication and digital marketing. As these platforms enable the free manifestation of thoughts and facts in text, images and video, there is an extensive need to screen them to protect individuals and groups from offensive content targeted at them. Our work inte...
[ { "created": "Fri, 27 Aug 2021 08:43:08 GMT", "version": "v1" } ]
2021-08-30
[ [ "Hande", "Adeep", "" ], [ "Puranik", "Karthik", "" ], [ "Yasaswini", "Konthala", "" ], [ "Priyadharshini", "Ruba", "" ], [ "Thavareesan", "Sajeetha", "" ], [ "Sampath", "Anbukkarasi", "" ], [ "Shanmugavadivel", ...
Social media has effectively become the prime hub of communication and digital marketing. As these platforms enable the free manifestation of thoughts and facts in text, images and video, there is an extensive need to screen them to protect individuals and groups from offensive content targeted at them. Our work intend...
1201.0345
EPTCS
Jean-Yves Marion (LORIA)
Proceedings Second Workshop on Developments in Implicit Computational Complexity
EPTCS 75, 2012
null
10.4204/EPTCS.75
null
cs.LO cs.CC cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This volume contains the proceedings of the Second International Workshop on Developments in Implicit Computational complExity (DICE 2011), which took place on April 2-3 2011 in Saarbruecken, Germany, as a satellite event of the Joint European Conference on Theory and Practice of Software, ETAPS 2011. Implicit Comput...
[ { "created": "Sun, 1 Jan 2012 11:55:08 GMT", "version": "v1" } ]
2012-01-04
[ [ "Marion", "Jean-Yves", "", "LORIA" ] ]
This volume contains the proceedings of the Second International Workshop on Developments in Implicit Computational complExity (DICE 2011), which took place on April 2-3 2011 in Saarbruecken, Germany, as a satellite event of the Joint European Conference on Theory and Practice of Software, ETAPS 2011. Implicit Computat...
1704.06851
Stefan Scherer
Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Louis-Philippe Morency, Stefan Scherer
Affect-LM: A Neural Language Model for Customizable Affective Text Generation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human verbal communication includes affective messages which are conveyed through use of emotionally colored words. There has been a lot of research in this direction but the problem of integrating state-of-the-art neural language models with affective information remains an area ripe for exploration. In this paper, ...
[ { "created": "Sat, 22 Apr 2017 21:10:10 GMT", "version": "v1" } ]
2017-04-25
[ [ "Ghosh", "Sayan", "" ], [ "Chollet", "Mathieu", "" ], [ "Laksana", "Eugene", "" ], [ "Morency", "Louis-Philippe", "" ], [ "Scherer", "Stefan", "" ] ]
Human verbal communication includes affective messages which are conveyed through use of emotionally colored words. There has been a lot of research in this direction but the problem of integrating state-of-the-art neural language models with affective information remains an area ripe for exploration. In this paper, we...
1703.08515
Karthik Elamvazhuthi
Shiba Biswal, Karthik Elamvazhuthi, and Spring Berman
Mean-Field Controllability and Decentralized Stabilization of Markov Chains, Part II: Asymptotic Controllability and Polynomial Feedbacks
Submitted to IEEE Conference on Decision and Control, 2017
null
null
null
cs.SY cs.RO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper, the second of a two-part series, presents a method for mean-field feedback stabilization of a swarm of agents on a finite state space whose time evolution is modeled as a continuous time Markov chain (CTMC). The resulting (mean-field) control problem is that of controlling a nonlinear system with desired ...
[ { "created": "Fri, 24 Mar 2017 17:14:43 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2017 17:27:45 GMT", "version": "v2" }, { "created": "Tue, 28 Mar 2017 00:50:35 GMT", "version": "v3" } ]
2017-03-29
[ [ "Biswal", "Shiba", "" ], [ "Elamvazhuthi", "Karthik", "" ], [ "Berman", "Spring", "" ] ]
This paper, the second of a two-part series, presents a method for mean-field feedback stabilization of a swarm of agents on a finite state space whose time evolution is modeled as a continuous time Markov chain (CTMC). The resulting (mean-field) control problem is that of controlling a nonlinear system with desired gl...
2008.03949
Samah Khawaled
Samah Khawaled and Moti Freiman
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
10 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised deep-learning (DL) models were recently proposed for deformable image registration tasks. In such models, a neural-network is trained to predict the best deformation field by minimizing some dissimilarity function between the moving and the target images. After training on a dataset without reference def...
[ { "created": "Mon, 10 Aug 2020 08:15:49 GMT", "version": "v1" } ]
2020-08-11
[ [ "Khawaled", "Samah", "" ], [ "Freiman", "Moti", "" ] ]
Unsupervised deep-learning (DL) models were recently proposed for deformable image registration tasks. In such models, a neural-network is trained to predict the best deformation field by minimizing some dissimilarity function between the moving and the target images. After training on a dataset without reference defor...
2108.09193
Chuhan Wu
Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang, Xing Xie
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer
null
null
null
null
cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Transformer has achieved great success in NLP. However, the quadratic complexity of the self-attention mechanism in Transformer makes it inefficient in handling long sequences. Many existing works explore to accelerate Transformers by computing sparse self-attention instead of a dense one, which usually attends to to...
[ { "created": "Fri, 20 Aug 2021 14:22:00 GMT", "version": "v1" }, { "created": "Wed, 25 Aug 2021 07:49:16 GMT", "version": "v2" }, { "created": "Thu, 2 Sep 2021 06:44:38 GMT", "version": "v3" } ]
2021-09-03
[ [ "Wu", "Chuhan", "" ], [ "Wu", "Fangzhao", "" ], [ "Qi", "Tao", "" ], [ "Jiao", "Binxing", "" ], [ "Jiang", "Daxin", "" ], [ "Huang", "Yongfeng", "" ], [ "Xie", "Xing", "" ] ]
Transformer has achieved great success in NLP. However, the quadratic complexity of the self-attention mechanism in Transformer makes it inefficient in handling long sequences. Many existing works explore to accelerate Transformers by computing sparse self-attention instead of a dense one, which usually attends to toke...
2407.11548
Yuxuan Wu
Yuxuan Wu, Xiao Yi, Yang Tan, Huiqun Yu, Guisheng Fan
A PLMs based protein retrieval framework
16 pages, 12 figures
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Protein retrieval, which targets the deconstruction of the relationship between sequences, structures and functions, empowers the advancing of biology. Basic Local Alignment Search Tool (BLAST), a sequence-similarity-based algorithm, has proved the efficiency of this field. Despite the existing tools for protein retr...
[ { "created": "Tue, 16 Jul 2024 09:52:42 GMT", "version": "v1" } ]
2024-07-17
[ [ "Wu", "Yuxuan", "" ], [ "Yi", "Xiao", "" ], [ "Tan", "Yang", "" ], [ "Yu", "Huiqun", "" ], [ "Fan", "Guisheng", "" ] ]
Protein retrieval, which targets the deconstruction of the relationship between sequences, structures and functions, empowers the advancing of biology. Basic Local Alignment Search Tool (BLAST), a sequence-similarity-based algorithm, has proved the efficiency of this field. Despite the existing tools for protein retrie...
2004.10313
Baihan Lin
Baihan Lin
Keep It Real: a Window to Real Reality in Virtual Reality
IJCAI 2020
null
null
null
cs.HC cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposed a new interaction paradigm in the virtual reality (VR) environments, which consists of a virtual mirror or window projected onto a virtual surface, representing the correct perspective geometry of a mirror or window reflecting the real world. This technique can be applied to various videos, live s...
[ { "created": "Tue, 21 Apr 2020 21:33:14 GMT", "version": "v1" }, { "created": "Tue, 28 Apr 2020 07:23:51 GMT", "version": "v2" }, { "created": "Thu, 12 Nov 2020 07:02:43 GMT", "version": "v3" } ]
2020-11-13
[ [ "Lin", "Baihan", "" ] ]
This paper proposed a new interaction paradigm in the virtual reality (VR) environments, which consists of a virtual mirror or window projected onto a virtual surface, representing the correct perspective geometry of a mirror or window reflecting the real world. This technique can be applied to various videos, live str...
2305.01170
Dianwen Ng Mr
Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma
Contrastive Speech Mixup for Low-resource Keyword Spotting
Accepted by ICASSP 2023
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Most of the existing neural-based models for keyword spotting (KWS) in smart devices require thousands of training samples to learn a decent audio representation. However, with the rising demand for smart devices to become more personalized, KWS models need to adapt quickly to smaller user samples. To tackle this cha...
[ { "created": "Tue, 2 May 2023 03:07:44 GMT", "version": "v1" } ]
2023-05-03
[ [ "Ng", "Dianwen", "" ], [ "Zhang", "Ruixi", "" ], [ "Yip", "Jia Qi", "" ], [ "Zhang", "Chong", "" ], [ "Ma", "Yukun", "" ], [ "Nguyen", "Trung Hieu", "" ], [ "Ni", "Chongjia", "" ], [ "Chng", "En...
Most of the existing neural-based models for keyword spotting (KWS) in smart devices require thousands of training samples to learn a decent audio representation. However, with the rising demand for smart devices to become more personalized, KWS models need to adapt quickly to smaller user samples. To tackle this chall...
1901.00603
Victor Zhong
Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
ICLR 2019; 9 pages, 7 figures
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
End-to-end neural models have made significant progress in question answering, however recent studies show that these models implicitly assume that the answer and evidence appear close together in a single document. In this work, we propose the Coarse-grain Fine-grain Coattention Network (CFC), a new question answeri...
[ { "created": "Thu, 3 Jan 2019 03:55:49 GMT", "version": "v1" }, { "created": "Mon, 13 May 2019 17:33:02 GMT", "version": "v2" } ]
2019-05-14
[ [ "Zhong", "Victor", "" ], [ "Xiong", "Caiming", "" ], [ "Keskar", "Nitish Shirish", "" ], [ "Socher", "Richard", "" ] ]
End-to-end neural models have made significant progress in question answering, however recent studies show that these models implicitly assume that the answer and evidence appear close together in a single document. In this work, we propose the Coarse-grain Fine-grain Coattention Network (CFC), a new question answering...
1405.5268
Andrew Wan
Dana Dachman-Soled and Vitaly Feldman and Li-Yang Tan and Andrew Wan and Karl Wimmer
Approximate resilience, monotonicity, and the complexity of agnostic learning
null
null
null
null
cs.LG cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A function $f$ is $d$-resilient if all its Fourier coefficients of degree at most $d$ are zero, i.e., $f$ is uncorrelated with all low-degree parities. We study the notion of $\mathit{approximate}$ $\mathit{resilience}$ of Boolean functions, where we say that $f$ is $\alpha$-approximately $d$-resilient if $f$ is $\al...
[ { "created": "Wed, 21 May 2014 00:06:02 GMT", "version": "v1" }, { "created": "Wed, 9 Jul 2014 19:16:57 GMT", "version": "v2" } ]
2014-07-10
[ [ "Dachman-Soled", "Dana", "" ], [ "Feldman", "Vitaly", "" ], [ "Tan", "Li-Yang", "" ], [ "Wan", "Andrew", "" ], [ "Wimmer", "Karl", "" ] ]
A function $f$ is $d$-resilient if all its Fourier coefficients of degree at most $d$ are zero, i.e., $f$ is uncorrelated with all low-degree parities. We study the notion of $\mathit{approximate}$ $\mathit{resilience}$ of Boolean functions, where we say that $f$ is $\alpha$-approximately $d$-resilient if $f$ is $\alph...
1811.01343
Dana Berman
Dana Berman, Deborah Levy, Shai Avidan, Tali Treibitz
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unlike terrestrial images where attenuation is assumed to be spectrally uniform. The attenuation depends both on the water body and the 3D str...
[ { "created": "Sun, 4 Nov 2018 09:16:38 GMT", "version": "v1" }, { "created": "Tue, 6 Nov 2018 17:19:03 GMT", "version": "v2" }, { "created": "Sun, 24 Mar 2019 20:38:45 GMT", "version": "v3" } ]
2019-03-26
[ [ "Berman", "Dana", "" ], [ "Levy", "Deborah", "" ], [ "Avidan", "Shai", "" ], [ "Treibitz", "Tali", "" ] ]
Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unlike terrestrial images where attenuation is assumed to be spectrally uniform. The attenuation depends both on the water body and the 3D struc...
1912.02636
Qingxiang Wang
Qingxiang Wang, Chad Brown, Cezary Kaliszyk, Josef Urban
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
The 9th ACM SIGPLAN International Conference on Certified Programs and Proofs
null
10.1145/3372885.3373827
null
cs.LO cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
In this paper we share several experiments trying to automatically translate informal mathematics into formal mathematics. In our context informal mathematics refers to human-written mathematical sentences in the LaTeX format; and formal mathematics refers to statements in the Mizar language. We conducted our experim...
[ { "created": "Thu, 5 Dec 2019 15:13:15 GMT", "version": "v1" }, { "created": "Fri, 13 Dec 2019 09:29:01 GMT", "version": "v2" } ]
2019-12-16
[ [ "Wang", "Qingxiang", "" ], [ "Brown", "Chad", "" ], [ "Kaliszyk", "Cezary", "" ], [ "Urban", "Josef", "" ] ]
In this paper we share several experiments trying to automatically translate informal mathematics into formal mathematics. In our context informal mathematics refers to human-written mathematical sentences in the LaTeX format; and formal mathematics refers to statements in the Mizar language. We conducted our experimen...
2303.04466
Elia Bonetto
Elia Bonetto, Chenghao Xu, Aamir Ahmad
GRADE: Generating Realistic Animated Dynamic Environments for Robotics Research
28 pages, 10 tables, 4 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, computer vision tasks like target tracking and human pose estimation have immensely benefited from synthetic data generation and novel rendering techniques. On the other hand, methods in robotics, especially for robot perception, have been slow to leverage these techniques. This is because state-of-t...
[ { "created": "Wed, 8 Mar 2023 09:36:47 GMT", "version": "v1" }, { "created": "Thu, 12 Oct 2023 06:50:25 GMT", "version": "v2" } ]
2023-10-13
[ [ "Bonetto", "Elia", "" ], [ "Xu", "Chenghao", "" ], [ "Ahmad", "Aamir", "" ] ]
In recent years, computer vision tasks like target tracking and human pose estimation have immensely benefited from synthetic data generation and novel rendering techniques. On the other hand, methods in robotics, especially for robot perception, have been slow to leverage these techniques. This is because state-of-the...
0807.2120
Robin Moser
Robin A. Moser
Derandomizing the Lovasz Local Lemma more effectively
8 pages; added acknowledgement
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The famous Lovasz Local Lemma [EL75] is a powerful tool to non-constructively prove the existence of combinatorial objects meeting a prescribed collection of criteria. Kratochvil et al. applied this technique to prove that a k-CNF in which each variable appears at most 2^k/(ek) times is always satisfiable [KST93]. In...
[ { "created": "Mon, 14 Jul 2008 09:55:09 GMT", "version": "v1" }, { "created": "Mon, 15 Sep 2008 13:57:58 GMT", "version": "v2" } ]
2008-09-15
[ [ "Moser", "Robin A.", "" ] ]
The famous Lovasz Local Lemma [EL75] is a powerful tool to non-constructively prove the existence of combinatorial objects meeting a prescribed collection of criteria. Kratochvil et al. applied this technique to prove that a k-CNF in which each variable appears at most 2^k/(ek) times is always satisfiable [KST93]. In a...
2212.00690
Dominik Belter Mr.
D. Belter, J. Bednarek, H. -C. Lin, G. Xin and M. Mistry
Single-shot Foothold Selection and Constraint Evaluation for Quadruped Locomotion
null
IEEE, Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 7441-7447
10.1109/ICRA.2019.8793801
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a method for selecting the optimal footholds for legged systems. The goal of the proposed method is to find the best foothold for the swing leg on a local elevation map. We apply the Convolutional Neural Network to learn the relationship between the local elevation map and the quality of pot...
[ { "created": "Thu, 1 Dec 2022 17:47:16 GMT", "version": "v1" } ]
2022-12-02
[ [ "Belter", "D.", "" ], [ "Bednarek", "J.", "" ], [ "Lin", "H. -C.", "" ], [ "Xin", "G.", "" ], [ "Mistry", "M.", "" ] ]
In this paper, we propose a method for selecting the optimal footholds for legged systems. The goal of the proposed method is to find the best foothold for the swing leg on a local elevation map. We apply the Convolutional Neural Network to learn the relationship between the local elevation map and the quality of poten...
2403.06300
Carlos E. Budde
Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde
Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics
Submitted to the journal "Information and Software Technology"
null
null
null
cs.SE cs.CR
http://creativecommons.org/licenses/by-sa/4.0/
Context: Software of different functional categories, such as text processing vs. networking, has different profiles in terms of metrics like security and updates. Using popularity to compare e.g. Java vs. Python libraries might give a skewed perspective, as the categories of the most popular software vary from one e...
[ { "created": "Sun, 10 Mar 2024 20:15:08 GMT", "version": "v1" } ]
2024-03-12
[ [ "Paramitha", "Ranindya", "" ], [ "Feng", "Yuan", "" ], [ "Massacci", "Fabio", "" ], [ "Budde", "Carlos E.", "" ] ]
Context: Software of different functional categories, such as text processing vs. networking, has different profiles in terms of metrics like security and updates. Using popularity to compare e.g. Java vs. Python libraries might give a skewed perspective, as the categories of the most popular software vary from one eco...
1907.01992
Andreas Maier
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias W\"urfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, and Silke Christiansen
Learning with Known Operators reduces Maximum Training Error Bounds
Paper conditionally accepted in Nature Machine Intelligence
Nature Machine Intelligence 1, 373-380, 2019
10.1038/s42256-019-0077-5
null
cs.LG cs.CV physics.med-ph stat.ML
http://creativecommons.org/licenses/by/4.0/
We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation that allows computation of a gradient or sub-gradient towards its inputs is su...
[ { "created": "Wed, 3 Jul 2019 15:35:16 GMT", "version": "v1" } ]
2020-12-29
[ [ "Maier", "Andreas K.", "" ], [ "Syben", "Christopher", "" ], [ "Stimpel", "Bernhard", "" ], [ "Würfl", "Tobias", "" ], [ "Hoffmann", "Mathis", "" ], [ "Schebesch", "Frank", "" ], [ "Fu", "Weilin", "" ], ...
We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation that allows computation of a gradient or sub-gradient towards its inputs is suit...
2202.13305
Matthew Tsao
Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone
Private Location Sharing for Decentralized Routing services
null
null
null
null
cs.CR cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Data-driven methodologies offer many exciting upsides, but they also introduce new challenges, particularly in the realm of user privacy. Specifically, the way data is collected can pose privacy risks to end users. In many routing services, a single entity (e.g., the routing service provider) collects and manages use...
[ { "created": "Sun, 27 Feb 2022 07:43:14 GMT", "version": "v1" }, { "created": "Mon, 14 Mar 2022 21:05:50 GMT", "version": "v2" } ]
2022-03-16
[ [ "Tsao", "Matthew", "" ], [ "Yang", "Kaidi", "" ], [ "Gopalakrishnan", "Karthik", "" ], [ "Pavone", "Marco", "" ] ]
Data-driven methodologies offer many exciting upsides, but they also introduce new challenges, particularly in the realm of user privacy. Specifically, the way data is collected can pose privacy risks to end users. In many routing services, a single entity (e.g., the routing service provider) collects and manages user ...
2402.11307
Xinyang Li
Xinlei Yu, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao Wang
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network
6 pages,4 figures, 4 tables, accepted by ISBI
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-factorial nature and complexity of ICH make methods based solely on computed tomography (CT) image features inadequate. Despite the capacity...
[ { "created": "Sat, 17 Feb 2024 15:31:46 GMT", "version": "v1" } ]
2024-02-20
[ [ "Yu", "Xinlei", "" ], [ "Li", "Xinyang", "" ], [ "Ge", "Ruiquan", "" ], [ "Wu", "Shibin", "" ], [ "Elazab", "Ahmed", "" ], [ "Zhu", "Jichao", "" ], [ "Zhang", "Lingyan", "" ], [ "Jia", "Gangyong...
Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-factorial nature and complexity of ICH make methods based solely on computed tomography (CT) image features inadequate. Despite the capacity o...
1511.07361
Guolong Su
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
Interpretable Two-level Boolean Rule Learning for Classification
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes algorithms for learning two-level Boolean rules in Conjunctive Normal Form (CNF, i.e. AND-of-ORs) or Disjunctive Normal Form (DNF, i.e. OR-of-ANDs) as a type of human-interpretable classification model, aiming for a favorable trade-off between the classification accuracy and the simplicity of the ...
[ { "created": "Mon, 23 Nov 2015 18:52:21 GMT", "version": "v1" } ]
2015-11-24
[ [ "Su", "Guolong", "" ], [ "Wei", "Dennis", "" ], [ "Varshney", "Kush R.", "" ], [ "Malioutov", "Dmitry M.", "" ] ]
This paper proposes algorithms for learning two-level Boolean rules in Conjunctive Normal Form (CNF, i.e. AND-of-ORs) or Disjunctive Normal Form (DNF, i.e. OR-of-ANDs) as a type of human-interpretable classification model, aiming for a favorable trade-off between the classification accuracy and the simplicity of the ru...
1908.06938
Zachary Ziegler
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann and Alexander M. Rush
Encoder-Agnostic Adaptation for Conditional Language Generation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the dominance of approaches that adapt a pretrained model for arbitrary downstream tasks. However it is an open-question how to use similar techniques for language generation. Ear...
[ { "created": "Mon, 19 Aug 2019 17:22:58 GMT", "version": "v1" }, { "created": "Wed, 11 Sep 2019 02:45:34 GMT", "version": "v2" } ]
2019-09-12
[ [ "Ziegler", "Zachary M.", "" ], [ "Melas-Kyriazi", "Luke", "" ], [ "Gehrmann", "Sebastian", "" ], [ "Rush", "Alexander M.", "" ] ]
Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the dominance of approaches that adapt a pretrained model for arbitrary downstream tasks. However it is an open-question how to use similar techniques for language generation. Early...
2404.13350
Deshan Sumanathilaka Mr
Maneesha U. Athukorala, Deshan K. Sumanathilaka
Swa Bhasha: Message-Based Singlish to Sinhala Transliteration
6 pages, 6 figures, 2 Tables, Presented at International Conference on Innovations in Info-business and Technology, Colombo, February 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Machine Transliteration provides the ability to transliterate a basic language into different languages in a computational way. Transliteration is an important technical process that has caught the attention most recently. The Sinhala transliteration has many constraints because of the insufficiency of resources in t...
[ { "created": "Sat, 20 Apr 2024 11:10:37 GMT", "version": "v1" } ]
2024-04-23
[ [ "Athukorala", "Maneesha U.", "" ], [ "Sumanathilaka", "Deshan K.", "" ] ]
Machine Transliteration provides the ability to transliterate a basic language into different languages in a computational way. Transliteration is an important technical process that has caught the attention most recently. The Sinhala transliteration has many constraints because of the insufficiency of resources in the...
1509.01806
Nir Weinberger
Nir Weinberger and Neri Merhav
Channel Detection in Coded Communication
Submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of block-coded communication, where in each block, the channel law belongs to one of two disjoint sets. The decoder is aimed to decode only messages that have undergone a channel from one of the sets, and thus has to detect the set which contains the prevailing channel. We begin with the simpl...
[ { "created": "Sun, 6 Sep 2015 13:07:03 GMT", "version": "v1" } ]
2015-09-08
[ [ "Weinberger", "Nir", "" ], [ "Merhav", "Neri", "" ] ]
We consider the problem of block-coded communication, where in each block, the channel law belongs to one of two disjoint sets. The decoder is aimed to decode only messages that have undergone a channel from one of the sets, and thus has to detect the set which contains the prevailing channel. We begin with the simplif...
2208.02294
Deborah Cohen
Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite recent advances in natural language understanding and generation, and decades of research on the development of conversational bots, building automated agents that can carry on rich open-ended conversations with humans "in the wild" remains a formidable challenge. In this work we develop a real-time, open-end...
[ { "created": "Mon, 25 Jul 2022 16:12:33 GMT", "version": "v1" } ]
2022-08-05
[ [ "Cohen", "Deborah", "" ], [ "Ryu", "Moonkyung", "" ], [ "Chow", "Yinlam", "" ], [ "Keller", "Orgad", "" ], [ "Greenberg", "Ido", "" ], [ "Hassidim", "Avinatan", "" ], [ "Fink", "Michael", "" ], [ "M...
Despite recent advances in natural language understanding and generation, and decades of research on the development of conversational bots, building automated agents that can carry on rich open-ended conversations with humans "in the wild" remains a formidable challenge. In this work we develop a real-time, open-ended...
1907.01721
\'Etienne Andr\'e
\'Etienne Andr\'e
What's decidable about parametric timed automata?
This is the author version of the manuscript of the same name published in the International Journal on Software Tools for Technology Transfer (STTT), April 2019, Volume 21, Issue 2, pp 203-219. This work is partially supported by the ANR national research program PACS (ANR-14-CE28-0002)
International Journal on Software Tools for Technology Transfer (STTT), April 2019, Volume 21, Issue 2, pp 203-219
10.1007/s10009-017-0467-0
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parametric timed automata (PTAs) are a powerful formalism to reason, simulate and formally verify critical real-time systems. After 25 years of research on PTAs, it is now well-understood that any non-trivial problem studied is undecidable for general PTAs. We provide here a survey of decision and computation problem...
[ { "created": "Wed, 3 Jul 2019 03:26:33 GMT", "version": "v1" } ]
2019-07-04
[ [ "André", "Étienne", "" ] ]
Parametric timed automata (PTAs) are a powerful formalism to reason, simulate and formally verify critical real-time systems. After 25 years of research on PTAs, it is now well-understood that any non-trivial problem studied is undecidable for general PTAs. We provide here a survey of decision and computation problems ...
2304.06909
Xinhong Dai
Xinhong Dai, Bin Duo, Xiaojun Yuan and Marco Di Renzo
Energy-Efficient UAV Communications in the Presence of Wind: 3D Modeling and Trajectory Design
31 pages, 13 figures
null
null
null
cs.IT cs.SY eess.SY math.IT
http://creativecommons.org/licenses/by/4.0/
The rapid development of unmanned aerial vehicle (UAV) technology provides flexible communication services to terrestrial nodes. Energy efficiency is crucial to the deployment of UAVs, especially rotary-wing UAVs whose propulsion power is sensitive to the wind effect. In this paper, we first derive a three-dimensiona...
[ { "created": "Fri, 14 Apr 2023 03:13:30 GMT", "version": "v1" }, { "created": "Thu, 27 Apr 2023 07:25:27 GMT", "version": "v2" } ]
2023-04-28
[ [ "Dai", "Xinhong", "" ], [ "Duo", "Bin", "" ], [ "Yuan", "Xiaojun", "" ], [ "Di Renzo", "Marco", "" ] ]
The rapid development of unmanned aerial vehicle (UAV) technology provides flexible communication services to terrestrial nodes. Energy efficiency is crucial to the deployment of UAVs, especially rotary-wing UAVs whose propulsion power is sensitive to the wind effect. In this paper, we first derive a three-dimensional ...
1808.03841
Jia Pan
Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan
Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a decentralized sensor-level collision avoidance policy for multi-robot systems, which shows promising results in practical applications. In particular, our policy directly maps raw sensor measurements to an agent's steering commands in terms of the movement velocity. As a first step toward ...
[ { "created": "Sat, 11 Aug 2018 17:33:40 GMT", "version": "v1" } ]
2018-08-14
[ [ "Fan", "Tingxiang", "" ], [ "Long", "Pinxin", "" ], [ "Liu", "Wenxi", "" ], [ "Pan", "Jia", "" ] ]
In this paper, we present a decentralized sensor-level collision avoidance policy for multi-robot systems, which shows promising results in practical applications. In particular, our policy directly maps raw sensor measurements to an agent's steering commands in terms of the movement velocity. As a first step toward re...
2312.00337
Marten Risius
Marten Risius, Kevin M. Blasiak, Susilo Wibisono, Rita Jabri-Markwell, Winnifred Louis
Dynamic Matrix of Extremisms and Terrorism (DMET): A Continuum Approach Towards Identifying Different Degrees of Extremisms
39 pages
Global Internet Forum to Counter Terrorism (GIFCT), 2021, pp. 42-77, Available at: https://gifct.org/wp-content/uploads/2021/07/GIFCT-TaxonomyReport-2021.pdf
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose to extend the current binary understanding of terrorism (versus non-terrorism) with a Dynamic Matrix of Extremisms and Terrorism (DMET). DMET considers the whole ecosystem of content and actors that can contribute to a continuum of extremism (e.g., right-wing, left-wing, religious, separatist, single-issue...
[ { "created": "Fri, 1 Dec 2023 04:13:48 GMT", "version": "v1" } ]
2023-12-04
[ [ "Risius", "Marten", "" ], [ "Blasiak", "Kevin M.", "" ], [ "Wibisono", "Susilo", "" ], [ "Jabri-Markwell", "Rita", "" ], [ "Louis", "Winnifred", "" ] ]
We propose to extend the current binary understanding of terrorism (versus non-terrorism) with a Dynamic Matrix of Extremisms and Terrorism (DMET). DMET considers the whole ecosystem of content and actors that can contribute to a continuum of extremism (e.g., right-wing, left-wing, religious, separatist, single-issue)....
2201.08141
Pablo Palafox
Pablo Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai
SPAMs: Structured Implicit Parametric Models
Project page: https://pablopalafox.github.io/spams/ - Video: https://youtu.be/ChdjHNGgrzI
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parametric 3D models have formed a fundamental role in modeling deformable objects, such as human bodies, faces, and hands; however, the construction of such parametric models requires significant manual intervention and domain expertise. Recently, neural implicit 3D representations have shown great expressibility in...
[ { "created": "Thu, 20 Jan 2022 12:33:46 GMT", "version": "v1" } ]
2022-01-21
[ [ "Palafox", "Pablo", "" ], [ "Sarafianos", "Nikolaos", "" ], [ "Tung", "Tony", "" ], [ "Dai", "Angela", "" ] ]
Parametric 3D models have formed a fundamental role in modeling deformable objects, such as human bodies, faces, and hands; however, the construction of such parametric models requires significant manual intervention and domain expertise. Recently, neural implicit 3D representations have shown great expressibility in c...
2112.02994
Haozheng Luo
Ruiyang Qin, Haozheng Luo, Zheheng Fan, Ziang Ren
IBERT: Idiom Cloze-style reading comprehension with Attention
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Idioms are special fixed phrases usually derived from stories. They are commonly used in casual conversations and literary writings. Their meanings are usually highly non-compositional. The idiom cloze task is a challenge problem in Natural Language Processing (NLP) research problem. Previous approaches to this task ...
[ { "created": "Fri, 5 Nov 2021 21:37:15 GMT", "version": "v1" } ]
2021-12-07
[ [ "Qin", "Ruiyang", "" ], [ "Luo", "Haozheng", "" ], [ "Fan", "Zheheng", "" ], [ "Ren", "Ziang", "" ] ]
Idioms are special fixed phrases usually derived from stories. They are commonly used in casual conversations and literary writings. Their meanings are usually highly non-compositional. The idiom cloze task is a challenge problem in Natural Language Processing (NLP) research problem. Previous approaches to this task ar...
2206.14547
Paolo Santini
Paolo Santini, Marco Baldi, Franco Chiaraluce
A Novel Attack to the Permuted Kernel Problem
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
The Permuted Kernel Problem (PKP) asks to find a permutation of a given vector belonging to the kernel of a given matrix. The PKP is at the basis of PKP-DSS, a post-quantum signature scheme deriving from the identification scheme proposed by Shamir in 1989. The most efficient solver for PKP is due to a recent paper b...
[ { "created": "Wed, 29 Jun 2022 11:50:51 GMT", "version": "v1" }, { "created": "Fri, 28 Oct 2022 16:48:12 GMT", "version": "v2" } ]
2022-10-31
[ [ "Santini", "Paolo", "" ], [ "Baldi", "Marco", "" ], [ "Chiaraluce", "Franco", "" ] ]
The Permuted Kernel Problem (PKP) asks to find a permutation of a given vector belonging to the kernel of a given matrix. The PKP is at the basis of PKP-DSS, a post-quantum signature scheme deriving from the identification scheme proposed by Shamir in 1989. The most efficient solver for PKP is due to a recent paper by ...
2309.09582
Jonas Golde
Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch, Alan Akbik
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
3 Figures and 2 Tables
null
10.18653/v1/2023.emnlp-demo.1
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most NLP tasks are modeled as supervised learning and thus require labeled training data to train effective models. However, manually producing such data at sufficient quality and quantity is known to be costly and time-intensive. Current research addresses this bottleneck by exploring a novel paradigm called zero-sh...
[ { "created": "Mon, 18 Sep 2023 08:45:47 GMT", "version": "v1" }, { "created": "Fri, 2 Feb 2024 22:53:30 GMT", "version": "v2" } ]
2024-02-06
[ [ "Golde", "Jonas", "" ], [ "Haller", "Patrick", "" ], [ "Hamborg", "Felix", "" ], [ "Risch", "Julian", "" ], [ "Akbik", "Alan", "" ] ]
Most NLP tasks are modeled as supervised learning and thus require labeled training data to train effective models. However, manually producing such data at sufficient quality and quantity is known to be costly and time-intensive. Current research addresses this bottleneck by exploring a novel paradigm called zero-shot...
2105.02027
Daniel Weber
Daniel Weber and Clemens G\"uhmann
Non-Autoregressive vs Autoregressive Neural Networks for System Identification
null
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches. Autoregression, the usage of the model outputs of previous time steps, is a method of transferring a system state between time steps, which is not necessary for ...
[ { "created": "Wed, 5 May 2021 12:52:06 GMT", "version": "v1" } ]
2021-05-06
[ [ "Weber", "Daniel", "" ], [ "Gühmann", "Clemens", "" ] ]
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches. Autoregression, the usage of the model outputs of previous time steps, is a method of transferring a system state between time steps, which is not necessary for mo...
2407.04332
Jinzhan Li
Jinzhan Li, Suhas Kumar, Su-in Yi
Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
16 pages, 8 figures
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constrained optimization underlies crucial societal problems (for instance, stock trading and bandwidth allocation), but is often computationally hard (complexity grows exponentially with problem size). The big-data era urgently demands low-latency and low-energy optimization at the edge, which cannot be handled by d...
[ { "created": "Fri, 5 Jul 2024 08:15:13 GMT", "version": "v1" } ]
2024-07-08
[ [ "Li", "Jinzhan", "" ], [ "Kumar", "Suhas", "" ], [ "Yi", "Su-in", "" ] ]
Constrained optimization underlies crucial societal problems (for instance, stock trading and bandwidth allocation), but is often computationally hard (complexity grows exponentially with problem size). The big-data era urgently demands low-latency and low-energy optimization at the edge, which cannot be handled by dig...
1705.09222
Ashwini Jaya Kumar
Ashwini Jaya Kumar, S\"oren Auer, Christoph Schmidt, Joachim k\"ohler
Towards a Knowledge Graph based Speech Interface
Under Review in International Workshop on Grounding Language Understanding, Satellite of Interspeech 2017
null
null
null
cs.HC cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further processing by the target application. These semantic annotations of reco...
[ { "created": "Tue, 23 May 2017 17:54:32 GMT", "version": "v1" } ]
2017-05-26
[ [ "Kumar", "Ashwini Jaya", "" ], [ "Auer", "Sören", "" ], [ "Schmidt", "Christoph", "" ], [ "köhler", "Joachim", "" ] ]
Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further processing by the target application. These semantic annotations of recogn...
1002.1292
Igor Nor
Igor Nor, Danny Hermelin, Sylvain Charlat, Jan Engelstadter, Max Reuter, Olivier Duron, Marie-France Sagot
Mod/Resc Parsimony Inference
11 pages, 3 figures
null
10.1007/978-3-642-13509-5_19
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insect populations infected by inherited, intra-cellular parasitic bacteria. In this problem, that we denote by \textsc{Mod/Resc Parsimony Inference}, we...
[ { "created": "Fri, 5 Feb 2010 18:15:15 GMT", "version": "v1" }, { "created": "Sat, 6 Feb 2010 01:26:05 GMT", "version": "v2" } ]
2015-05-18
[ [ "Nor", "Igor", "" ], [ "Hermelin", "Danny", "" ], [ "Charlat", "Sylvain", "" ], [ "Engelstadter", "Jan", "" ], [ "Reuter", "Max", "" ], [ "Duron", "Olivier", "" ], [ "Sagot", "Marie-France", "" ] ]
We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insect populations infected by inherited, intra-cellular parasitic bacteria. In this problem, that we denote by \textsc{Mod/Resc Parsimony Inference}, we a...
1907.02204
Shuo Zhang
Shuo Zhang, Lei Xie
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
The short version of this paper has been accepted by IJCAI 2020
null
10.24963/ijcai.2020/194
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) are powerful to learn the representation of graph-structured data. Most of the GNNs use the message-passing scheme, where the embedding of a node is iteratively updated by aggregating the information of its neighbors. To achieve a better expressive capability of node influences, attention...
[ { "created": "Thu, 4 Jul 2019 03:48:22 GMT", "version": "v1" }, { "created": "Thu, 12 Sep 2019 12:49:07 GMT", "version": "v2" }, { "created": "Mon, 16 Dec 2019 05:00:38 GMT", "version": "v3" }, { "created": "Mon, 4 May 2020 00:18:01 GMT", "version": "v4" } ]
2020-07-28
[ [ "Zhang", "Shuo", "" ], [ "Xie", "Lei", "" ] ]
Graph Neural Networks (GNNs) are powerful to learn the representation of graph-structured data. Most of the GNNs use the message-passing scheme, where the embedding of a node is iteratively updated by aggregating the information of its neighbors. To achieve a better expressive capability of node influences, attention m...
2303.08941
Yankai Zeng
Yankai Zeng and Abhiramon Rajasekharan and Parth Padalkar and Kinjal Basu and Joaqu\'in Arias and Gopal Gupta
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
null
null
null
null
cs.AI cs.LO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Achieving human-like communication with machines remains a classic, challenging topic in the field of Knowledge Representation and Reasoning and Natural Language Processing. These Large Language Models (LLMs) rely on pattern-matching rather than a true understanding of the semantic meaning of a sentence. As a result,...
[ { "created": "Wed, 15 Mar 2023 21:10:33 GMT", "version": "v1" }, { "created": "Fri, 17 Mar 2023 20:49:03 GMT", "version": "v2" } ]
2023-03-21
[ [ "Zeng", "Yankai", "" ], [ "Rajasekharan", "Abhiramon", "" ], [ "Padalkar", "Parth", "" ], [ "Basu", "Kinjal", "" ], [ "Arias", "Joaquín", "" ], [ "Gupta", "Gopal", "" ] ]
Achieving human-like communication with machines remains a classic, challenging topic in the field of Knowledge Representation and Reasoning and Natural Language Processing. These Large Language Models (LLMs) rely on pattern-matching rather than a true understanding of the semantic meaning of a sentence. As a result, t...
1407.4106
Eric Hutton
Eric W. H. Hutton, Mark D. Piper, Scott D. Peckham, Irina Overeem, Albert J. Kettner and James P. M. Syvitski
Building Sustainable Software - The CSDMS Approach
WSSSPE2
null
null
null
cs.SE
http://creativecommons.org/licenses/by/3.0/
CSDMS, The Community Surface Dynamics Modeling System, is an NSF funded project whose focus is to aid a diverse community of earth and ocean system model users and developers to use and create robust software quickly. To this end, CSDMS develops, integrates, archives and disseminates earth-system models and tools to ...
[ { "created": "Tue, 15 Jul 2014 19:38:51 GMT", "version": "v1" }, { "created": "Sat, 15 Nov 2014 20:25:03 GMT", "version": "v2" } ]
2014-11-18
[ [ "Hutton", "Eric W. H.", "" ], [ "Piper", "Mark D.", "" ], [ "Peckham", "Scott D.", "" ], [ "Overeem", "Irina", "" ], [ "Kettner", "Albert J.", "" ], [ "Syvitski", "James P. M.", "" ] ]
CSDMS, The Community Surface Dynamics Modeling System, is an NSF funded project whose focus is to aid a diverse community of earth and ocean system model users and developers to use and create robust software quickly. To this end, CSDMS develops, integrates, archives and disseminates earth-system models and tools to an...
2201.07421
Juncheng Wang
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, and Hatem Abou-zeid
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI
6 pages, 3 figures
IEEE Wireless Communications Letters, 2022
10.1109/LWC.2022.3152737
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider online wireless network virtualization (WNV) in a multi-cell multiple-input multiple output (MIMO) system with delayed feedback of channel state information (CSI). Multiple service providers (SPs) simultaneously share the base station resources of an infrastructure provider (InP). We aim at minimizing the...
[ { "created": "Wed, 19 Jan 2022 05:17:31 GMT", "version": "v1" } ]
2022-02-22
[ [ "Wang", "Juncheng", "" ], [ "Liang", "Ben", "" ], [ "Dong", "Min", "" ], [ "Boudreau", "Gary", "" ], [ "Abou-zeid", "Hatem", "" ] ]
We consider online wireless network virtualization (WNV) in a multi-cell multiple-input multiple output (MIMO) system with delayed feedback of channel state information (CSI). Multiple service providers (SPs) simultaneously share the base station resources of an infrastructure provider (InP). We aim at minimizing the a...
1805.08206
Yonatan Geifman
Yonatan Geifman, Guy Uziel, Ran El-Yaniv
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Accepted to ICLR 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of uncertainty estimation in the context of (non-Bayesian) deep neural classification. In this context, all known methods are based on extracting uncertainty signals from a trained network optimized to solve the classification problem at hand. We demonstrate that such techniques tend to introd...
[ { "created": "Mon, 21 May 2018 17:59:59 GMT", "version": "v1" }, { "created": "Sun, 27 May 2018 05:10:28 GMT", "version": "v2" }, { "created": "Sun, 30 Sep 2018 11:19:55 GMT", "version": "v3" }, { "created": "Wed, 24 Apr 2019 13:00:42 GMT", "version": "v4" } ]
2019-04-25
[ [ "Geifman", "Yonatan", "" ], [ "Uziel", "Guy", "" ], [ "El-Yaniv", "Ran", "" ] ]
We consider the problem of uncertainty estimation in the context of (non-Bayesian) deep neural classification. In this context, all known methods are based on extracting uncertainty signals from a trained network optimized to solve the classification problem at hand. We demonstrate that such techniques tend to introduc...
1607.08584
De-An Huang
De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
To appear in ECCV 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a weakly-supervised framework for action labeling in video, where only the order of occurring actions is required during training time. The key challenge is that the per-frame alignments between the input (video) and label (action) sequences are unknown during training. We address this by introducing the E...
[ { "created": "Thu, 28 Jul 2016 19:35:50 GMT", "version": "v1" } ]
2016-07-29
[ [ "Huang", "De-An", "" ], [ "Fei-Fei", "Li", "" ], [ "Niebles", "Juan Carlos", "" ] ]
We propose a weakly-supervised framework for action labeling in video, where only the order of occurring actions is required during training time. The key challenge is that the per-frame alignments between the input (video) and label (action) sequences are unknown during training. We address this by introducing the Ext...
2210.05863
Changjia Ma
Changjia Ma, Zhichao Han, Tingrui Zhang, Jingping Wang, Long Xu, Chengyang Li, Chao Xu and Fei Gao
Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments
Accepted by IROS 2023
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robot swarm is a hot spot in robotic research community. In this paper, we propose a decentralized framework for car-like robotic swarm which is capable of real-time planning in cluttered environments. In this system, path finding is guided by environmental topology information to avoid frequent topological change, a...
[ { "created": "Wed, 12 Oct 2022 01:55:34 GMT", "version": "v1" }, { "created": "Wed, 5 Jul 2023 05:11:45 GMT", "version": "v2" } ]
2023-07-06
[ [ "Ma", "Changjia", "" ], [ "Han", "Zhichao", "" ], [ "Zhang", "Tingrui", "" ], [ "Wang", "Jingping", "" ], [ "Xu", "Long", "" ], [ "Li", "Chengyang", "" ], [ "Xu", "Chao", "" ], [ "Gao", "Fei", ...
Robot swarm is a hot spot in robotic research community. In this paper, we propose a decentralized framework for car-like robotic swarm which is capable of real-time planning in cluttered environments. In this system, path finding is guided by environmental topology information to avoid frequent topological change, and...
2310.18371
Venktesh V
Venktesh V, Sourangshu Bhattacharya, Avishek Anand
In-Context Ability Transfer for Question Decomposition in Complex QA
10 pages
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Answering complex questions is a challenging task that requires question decomposition and multistep reasoning for arriving at the solution. While existing supervised and unsupervised approaches are specialized to a certain task and involve training, recently proposed prompt-based approaches offer generalizable solut...
[ { "created": "Thu, 26 Oct 2023 11:11:07 GMT", "version": "v1" } ]
2023-10-31
[ [ "V", "Venktesh", "" ], [ "Bhattacharya", "Sourangshu", "" ], [ "Anand", "Avishek", "" ] ]
Answering complex questions is a challenging task that requires question decomposition and multistep reasoning for arriving at the solution. While existing supervised and unsupervised approaches are specialized to a certain task and involve training, recently proposed prompt-based approaches offer generalizable solutio...
2311.12015
Naoki Wake
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration
9 pages, 12 figures, 2 tables. Last updated on May 6th, 2024
null
null
null
cs.RO cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a pipeline that enhances a general-purpose Vision Language Model, GPT-4V(ision), to facilitate one-shot visual teaching for robotic manipulation. This system analyzes videos of humans performing tasks and outputs executable robot programs that incorporate insights into affordances. The process begins wit...
[ { "created": "Mon, 20 Nov 2023 18:54:39 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 10:18:21 GMT", "version": "v2" } ]
2024-05-07
[ [ "Wake", "Naoki", "" ], [ "Kanehira", "Atsushi", "" ], [ "Sasabuchi", "Kazuhiro", "" ], [ "Takamatsu", "Jun", "" ], [ "Ikeuchi", "Katsushi", "" ] ]
We introduce a pipeline that enhances a general-purpose Vision Language Model, GPT-4V(ision), to facilitate one-shot visual teaching for robotic manipulation. This system analyzes videos of humans performing tasks and outputs executable robot programs that incorporate insights into affordances. The process begins with ...
2207.08139
Serkan Kiranyaz
Hanadi Hassen Mohammed, Junaid Malik, Somaya Al-Madeed, and Serkan Kiranyaz
2D Self-Organized ONN Model For Handwritten Text Recognition
To appear in in Applied Soft Computing Journal (Elsevier)
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since they are homogeneous networks with a simple (linear) neuron model. With their heterogeneous netwo...
[ { "created": "Sun, 17 Jul 2022 11:18:20 GMT", "version": "v1" } ]
2022-07-19
[ [ "Mohammed", "Hanadi Hassen", "" ], [ "Malik", "Junaid", "" ], [ "Al-Madeed", "Somaya", "" ], [ "Kiranyaz", "Serkan", "" ] ]
Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since they are homogeneous networks with a simple (linear) neuron model. With their heterogeneous network...
1708.07961
Ming Ding Dr.
Ming Ding, David Lopez Perez, Amir H. Jafari, Guoqiang Mao, Zihuai Lin
Ultra-Dense Networks: A New Look at the Proportional Fair Scheduler
To appear in IEEE GLOBECOM2017
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we theoretically study the proportional fair (PF) scheduler in the context of ultra-dense networks (UDNs). Analytical results are obtained for the coverage probability and the area spectral efficiency (ASE) performance of dense small cell networks (SCNs) with the PF scheduler employed at base stations ...
[ { "created": "Sat, 26 Aug 2017 12:04:17 GMT", "version": "v1" }, { "created": "Tue, 26 Sep 2017 06:49:13 GMT", "version": "v2" } ]
2017-09-27
[ [ "Ding", "Ming", "" ], [ "Perez", "David Lopez", "" ], [ "Jafari", "Amir H.", "" ], [ "Mao", "Guoqiang", "" ], [ "Lin", "Zihuai", "" ] ]
In this paper, we theoretically study the proportional fair (PF) scheduler in the context of ultra-dense networks (UDNs). Analytical results are obtained for the coverage probability and the area spectral efficiency (ASE) performance of dense small cell networks (SCNs) with the PF scheduler employed at base stations (B...
1805.11915
Ali Bereyhi
Ali Bereyhi and Saba Asaad and Rafael F. Schaefer and Ralf R. M\"uller
Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels
5 pages, 1 figure; To be presented in 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), June 2018
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growth of interest in massive MIMO systems is accompanied with hardware cost and computational complexity. Antenna selection is an efficient approach to overcome this cost-plus-complexity issue which also enhances the secrecy performance in wiretap settings. Optimal antenna selection requires exhaustive search wh...
[ { "created": "Wed, 30 May 2018 12:10:39 GMT", "version": "v1" } ]
2018-05-31
[ [ "Bereyhi", "Ali", "" ], [ "Asaad", "Saba", "" ], [ "Schaefer", "Rafael F.", "" ], [ "Müller", "Ralf R.", "" ] ]
The growth of interest in massive MIMO systems is accompanied with hardware cost and computational complexity. Antenna selection is an efficient approach to overcome this cost-plus-complexity issue which also enhances the secrecy performance in wiretap settings. Optimal antenna selection requires exhaustive search whic...
2205.11648
Sikun Lin
Sikun Lin, Shuyun Tang, Scott Grafton, Ambuj Singh
Deep Representations for Time-varying Brain Datasets
null
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
10.1145/3534678.3539301
null
cs.LG q-bio.NC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Finding an appropriate representation of dynamic activities in the brain is crucial for many downstream applications. Due to its highly dynamic nature, temporally averaged fMRI (functional magnetic resonance imaging) can only provide a narrow view of underlying brain activities. Previous works lack the ability to lea...
[ { "created": "Mon, 23 May 2022 21:57:31 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2022 07:56:48 GMT", "version": "v2" }, { "created": "Tue, 16 Aug 2022 19:17:50 GMT", "version": "v3" } ]
2022-08-18
[ [ "Lin", "Sikun", "" ], [ "Tang", "Shuyun", "" ], [ "Grafton", "Scott", "" ], [ "Singh", "Ambuj", "" ] ]
Finding an appropriate representation of dynamic activities in the brain is crucial for many downstream applications. Due to its highly dynamic nature, temporally averaged fMRI (functional magnetic resonance imaging) can only provide a narrow view of underlying brain activities. Previous works lack the ability to learn...
2403.10188
Mingzhe Zhang
Shengyu Fan, Xianglong Deng, Zhuoyu Tian, Zhicheng Hu, Liang Chang, Rui Hou, Dan Meng, Mingzhe Zhang
Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption
14 pages, 15 figures
null
null
null
cs.CR cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fully Homomorphic Encryption (FHE), a novel cryptographic theory enabling computation directly on ciphertext data, offers significant security benefits but is hampered by substantial performance overhead. In recent years, a series of accelerator designs have significantly enhanced the performance of FHE applications,...
[ { "created": "Fri, 15 Mar 2024 10:51:07 GMT", "version": "v1" } ]
2024-03-18
[ [ "Fan", "Shengyu", "" ], [ "Deng", "Xianglong", "" ], [ "Tian", "Zhuoyu", "" ], [ "Hu", "Zhicheng", "" ], [ "Chang", "Liang", "" ], [ "Hou", "Rui", "" ], [ "Meng", "Dan", "" ], [ "Zhang", "Mingzh...
Fully Homomorphic Encryption (FHE), a novel cryptographic theory enabling computation directly on ciphertext data, offers significant security benefits but is hampered by substantial performance overhead. In recent years, a series of accelerator designs have significantly enhanced the performance of FHE applications, b...
2211.02150
Yue Sun
Yue Sun, Zhuoming Huang, Honggang Zhang, Xiaohui Liang
3D Reconstruction of Multiple Objects by mmWave Radar on UAV
null
null
null
null
cs.CV cs.AI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we explore the feasibility of utilizing a mmWave radar sensor installed on a UAV to reconstruct the 3D shapes of multiple objects in a space. The UAV hovers at various locations in the space, and its onboard radar senor collects raw radar data via scanning the space with Synthetic Aperture Radar (SAR) ...
[ { "created": "Thu, 3 Nov 2022 21:23:36 GMT", "version": "v1" } ]
2022-11-07
[ [ "Sun", "Yue", "" ], [ "Huang", "Zhuoming", "" ], [ "Zhang", "Honggang", "" ], [ "Liang", "Xiaohui", "" ] ]
In this paper, we explore the feasibility of utilizing a mmWave radar sensor installed on a UAV to reconstruct the 3D shapes of multiple objects in a space. The UAV hovers at various locations in the space, and its onboard radar senor collects raw radar data via scanning the space with Synthetic Aperture Radar (SAR) op...
1901.02818
Brent Lagesse
Kevin Wu, Brent Lagesse
Detecting Hidden Webcams with Delay-Tolerant Similarity of Simultaneous Observation
32 pages, 7 figures, 10 tables. Accepted for publication in Elsevier Pervasive and Mobile Computing
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Small, low-cost, wireless cameras are becoming increasingly commonplace making surreptitious observation of people more difficult to detect. Previous work in detecting hidden cameras has only addressed limited environments in small spaces where the user has significant control of the environment. To address this prob...
[ { "created": "Wed, 9 Jan 2019 16:50:07 GMT", "version": "v1" }, { "created": "Mon, 18 Feb 2019 22:58:52 GMT", "version": "v2" }, { "created": "Fri, 27 Mar 2020 20:23:38 GMT", "version": "v3" } ]
2020-03-31
[ [ "Wu", "Kevin", "" ], [ "Lagesse", "Brent", "" ] ]
Small, low-cost, wireless cameras are becoming increasingly commonplace making surreptitious observation of people more difficult to detect. Previous work in detecting hidden cameras has only addressed limited environments in small spaces where the user has significant control of the environment. To address this proble...
2106.10386
Yu Chen
Yu Chen, Sanjeev Khanna, Ansh Nagda
Sublinear Time Hypergraph Sparsification via Cut and Edge Sampling Queries
ICALP 2021
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of sparsifying a graph or a hypergraph while approximately preserving its cut structure has been extensively studied and has many applications. In a seminal work, Bencz\'ur and Karger (1996) showed that given any $n$-vertex undirected weighted graph $G$ and a parameter $\varepsilon \in (0,1)$, there is a ...
[ { "created": "Fri, 18 Jun 2021 23:25:13 GMT", "version": "v1" } ]
2021-06-22
[ [ "Chen", "Yu", "" ], [ "Khanna", "Sanjeev", "" ], [ "Nagda", "Ansh", "" ] ]
The problem of sparsifying a graph or a hypergraph while approximately preserving its cut structure has been extensively studied and has many applications. In a seminal work, Bencz\'ur and Karger (1996) showed that given any $n$-vertex undirected weighted graph $G$ and a parameter $\varepsilon \in (0,1)$, there is a ne...
2201.12434
Haonan Yu
Haonan Yu, Haichao Zhang, Wei Xu
Do You Need the Entropy Reward (in Practice)?
null
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Maximum entropy (MaxEnt) RL maximizes a combination of the original task reward and an entropy reward. It is believed that the regularization imposed by entropy, on both policy improvement and policy evaluation, together contributes to good exploration, training convergence, and robustness of learned policies. This p...
[ { "created": "Fri, 28 Jan 2022 21:43:21 GMT", "version": "v1" } ]
2022-02-01
[ [ "Yu", "Haonan", "" ], [ "Zhang", "Haichao", "" ], [ "Xu", "Wei", "" ] ]
Maximum entropy (MaxEnt) RL maximizes a combination of the original task reward and an entropy reward. It is believed that the regularization imposed by entropy, on both policy improvement and policy evaluation, together contributes to good exploration, training convergence, and robustness of learned policies. This pap...
1807.03863
Guilherme Pinto
Guilherme Pinto, Jo\~ao Pedro Dias, Hugo Sereno Ferreira
Blockchain-based PKI for Crowdsourced IoT Sensor Information
null
null
10.1007/978-3-030-17065-3_25
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things is progressively getting broader, evol-ving its scope while creating new markets and adding more to the existing ones. However, both generation and analysis of large amounts of data, which are integral to this concept, may require the proper protection and privacy-awareness of some sensitive in...
[ { "created": "Tue, 10 Jul 2018 21:08:13 GMT", "version": "v1" } ]
2019-04-15
[ [ "Pinto", "Guilherme", "" ], [ "Dias", "João Pedro", "" ], [ "Ferreira", "Hugo Sereno", "" ] ]
The Internet of Things is progressively getting broader, evol-ving its scope while creating new markets and adding more to the existing ones. However, both generation and analysis of large amounts of data, which are integral to this concept, may require the proper protection and privacy-awareness of some sensitive info...
2001.11261
Mischa Schmidt
Mischa Schmidt, Julia Gastinger, S\'ebastien Nicolas, Anett Sch\"ulke (NEC Laboratories Europe GmbH)
HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection
8 pages, 8 figures; IJCNN 2020: International Joint Conference on Neural Networks
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated algorithm selection and hyperparameter tuning facilitates the application of machine learning. Traditional multi-armed bandit strategies look to the history of observed rewards to identify the most promising arms for optimizing expected total reward in the long run. When considering limited time budgets and...
[ { "created": "Thu, 30 Jan 2020 11:28:39 GMT", "version": "v1" }, { "created": "Wed, 8 Apr 2020 08:37:16 GMT", "version": "v2" }, { "created": "Thu, 28 May 2020 06:56:35 GMT", "version": "v3" } ]
2020-05-29
[ [ "Schmidt", "Mischa", "", "NEC Laboratories Europe GmbH" ], [ "Gastinger", "Julia", "", "NEC Laboratories Europe GmbH" ], [ "Nicolas", "Sébastien", "", "NEC Laboratories Europe GmbH" ], [ "Schülke", "Anett", "", "NEC Laboratories Europe Gm...
Automated algorithm selection and hyperparameter tuning facilitates the application of machine learning. Traditional multi-armed bandit strategies look to the history of observed rewards to identify the most promising arms for optimizing expected total reward in the long run. When considering limited time budgets and c...
2007.08037
Wenguan Wang
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang and Jianbing Shen
Active Visual Information Gathering for Vision-Language Navigation
ECCV2020 (changed with improved perfromance on Pre-Explore and Beam Search settings); website: https://github.com/HanqingWangAI/Active_VLN
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-language navigation (VLN) is the task of entailing an agent to carry out navigational instructions inside photo-realistic environments. One of the key challenges in VLN is how to conduct a robust navigation by mitigating the uncertainty caused by ambiguous instructions and insufficient observation of the envir...
[ { "created": "Wed, 15 Jul 2020 23:54:20 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2020 15:33:31 GMT", "version": "v2" }, { "created": "Wed, 19 Aug 2020 19:48:02 GMT", "version": "v3" } ]
2020-08-21
[ [ "Wang", "Hanqing", "" ], [ "Wang", "Wenguan", "" ], [ "Shu", "Tianmin", "" ], [ "Liang", "Wei", "" ], [ "Shen", "Jianbing", "" ] ]
Vision-language navigation (VLN) is the task of entailing an agent to carry out navigational instructions inside photo-realistic environments. One of the key challenges in VLN is how to conduct a robust navigation by mitigating the uncertainty caused by ambiguous instructions and insufficient observation of the environ...