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2308.04468
Mohammad Naanaa
Mohammad Naanaa, Katharina Schmid, Yinyu Nie
3D Scene Diffusion Guidance using Scene Graphs
5 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Guided synthesis of high-quality 3D scenes is a challenging task. Diffusion models have shown promise in generating diverse data, including 3D scenes. However, current methods rely directly on text embeddings for controlling the generation, limiting the incorporation of complex spatial relationships between objects. ...
[ { "created": "Tue, 8 Aug 2023 06:16:37 GMT", "version": "v1" } ]
2023-08-10
[ [ "Naanaa", "Mohammad", "" ], [ "Schmid", "Katharina", "" ], [ "Nie", "Yinyu", "" ] ]
Guided synthesis of high-quality 3D scenes is a challenging task. Diffusion models have shown promise in generating diverse data, including 3D scenes. However, current methods rely directly on text embeddings for controlling the generation, limiting the incorporation of complex spatial relationships between objects. We...
1106.5305
Michael Lesnick
Michael Lesnick
The Theory of the Interleaving Distance on Multidimensional Persistence Modules
Major revision; exposition improved throughout. To appear in Foundations of Computational Mathematics. 36 pages
Foundations of Computational Mathematics: Volume 15, Issue 3 (2015), Page 613-650
10.1007/s10208-015-9255-y
null
cs.CG math.AT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 2009, Chazal et al. introduced $\epsilon$-interleavings of persistence modules. $\epsilon$-interleavings induce a pseudometric $d_I$ on (isomorphism classes of) persistence modules, the interleaving distance. The definitions of $\epsilon$-interleavings and $d_I$ generalize readily to multidimensional persistence m...
[ { "created": "Mon, 27 Jun 2011 06:05:20 GMT", "version": "v1" }, { "created": "Thu, 14 Jul 2011 06:11:54 GMT", "version": "v2" }, { "created": "Tue, 5 Feb 2013 16:10:40 GMT", "version": "v3" }, { "created": "Mon, 2 Feb 2015 21:08:13 GMT", "version": "v4" } ]
2015-05-22
[ [ "Lesnick", "Michael", "" ] ]
In 2009, Chazal et al. introduced $\epsilon$-interleavings of persistence modules. $\epsilon$-interleavings induce a pseudometric $d_I$ on (isomorphism classes of) persistence modules, the interleaving distance. The definitions of $\epsilon$-interleavings and $d_I$ generalize readily to multidimensional persistence mod...
2102.06326
Steve Dai
Steve Dai, Alicia Klinefelter, Haoxing Ren, Rangharajan Venkatesan, Ben Keller, Nathaniel Pinckney, Brucek Khailany
Verifying High-Level Latency-Insensitive Designs with Formal Model Checking
null
null
null
null
cs.LO cs.AR cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Latency-insensitive design mitigates increasing interconnect delay and enables productive component reuse in complex digital systems. This design style has been adopted in high-level design flows because untimed functional blocks connected through latency-insensitive interfaces provide a natural communication abstrac...
[ { "created": "Fri, 12 Feb 2021 01:56:23 GMT", "version": "v1" } ]
2021-02-19
[ [ "Dai", "Steve", "" ], [ "Klinefelter", "Alicia", "" ], [ "Ren", "Haoxing", "" ], [ "Venkatesan", "Rangharajan", "" ], [ "Keller", "Ben", "" ], [ "Pinckney", "Nathaniel", "" ], [ "Khailany", "Brucek", "" ]...
Latency-insensitive design mitigates increasing interconnect delay and enables productive component reuse in complex digital systems. This design style has been adopted in high-level design flows because untimed functional blocks connected through latency-insensitive interfaces provide a natural communication abstracti...
1907.09100
EPTCS
Ramit Das, R. Ramanujam, Sunil Simon
Reasoning about Social Choice and Games in Monadic Fixed-Point Logic
In Proceedings TARK 2019, arXiv:1907.08335
EPTCS 297, 2019, pp. 106-120
10.4204/EPTCS.297.8
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whether it be in normal form games, or in fair allocations, or in voter preferences in voting systems, a certain pattern of reasoning is common. From a particular profile, an agent or a group of agents may have an incentive to shift to a new one. This induces a natural graph structure that we call the improvement gra...
[ { "created": "Mon, 22 Jul 2019 03:14:29 GMT", "version": "v1" } ]
2019-07-23
[ [ "Das", "Ramit", "" ], [ "Ramanujam", "R.", "" ], [ "Simon", "Sunil", "" ] ]
Whether it be in normal form games, or in fair allocations, or in voter preferences in voting systems, a certain pattern of reasoning is common. From a particular profile, an agent or a group of agents may have an incentive to shift to a new one. This induces a natural graph structure that we call the improvement graph...
2306.09764
Vincent Berenz
Vincent Berenz, Felix Widmaier, Simon Guist, Bernhard Sch\"olkopf and Dieter B\"uchler
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
work presented at the Robot Software Architectures Workshop - RSA 2023, ICRA
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic applications require the integration of various modalities, encompassing perception, control of real robots and possibly the control of simulated environments. While the state-of-the-art robotic software solutions such as ROS 2 provide most of the required features, flexible synchronization between algorithms...
[ { "created": "Fri, 16 Jun 2023 10:50:21 GMT", "version": "v1" } ]
2023-06-19
[ [ "Berenz", "Vincent", "" ], [ "Widmaier", "Felix", "" ], [ "Guist", "Simon", "" ], [ "Schölkopf", "Bernhard", "" ], [ "Büchler", "Dieter", "" ] ]
Robotic applications require the integration of various modalities, encompassing perception, control of real robots and possibly the control of simulated environments. While the state-of-the-art robotic software solutions such as ROS 2 provide most of the required features, flexible synchronization between algorithms, ...
2307.07407
Brunello Tirozzi
Brunello Tirozzi, Orchidea Maria Lecian
Retrieval of phonemes and Kohonen algorithm
10 pages
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
A phoneme-retrieval technique is proposed, which is due to the particular way of the construction of the network. An initial set of neurons is given. The number of these neurons is approximately equal to the number of typical structures of the data. For example if the network is built for voice retrieval then the num...
[ { "created": "Mon, 10 Jul 2023 17:25:07 GMT", "version": "v1" } ]
2023-07-27
[ [ "Tirozzi", "Brunello", "" ], [ "Lecian", "Orchidea Maria", "" ] ]
A phoneme-retrieval technique is proposed, which is due to the particular way of the construction of the network. An initial set of neurons is given. The number of these neurons is approximately equal to the number of typical structures of the data. For example if the network is built for voice retrieval then the numbe...
1806.11128
Justin Deters
Justin Deters, Jiaye Wu, Yifan Xu, I-Ting Angelina Lee
A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle
14 pages, 9 figures
2018 IEEE International Symposium on Workload Characterization (IISWC), Raleigh, NC, USA, 2018, pp. 59-70
10.1109/IISWC.2018.8573486
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Task parallelism is designed to simplify the task of parallel programming. When executing a task parallel program on modern NUMA architectures, it can fail to scale due to the phenomenon called work inflation, where the overall processing time that multiple cores spend on doing useful work is higher compared to the t...
[ { "created": "Thu, 28 Jun 2018 18:00:42 GMT", "version": "v1" }, { "created": "Tue, 4 Sep 2018 17:02:41 GMT", "version": "v2" }, { "created": "Wed, 5 Sep 2018 18:29:45 GMT", "version": "v3" }, { "created": "Mon, 7 Jan 2019 15:46:26 GMT", "version": "v4" } ]
2019-01-08
[ [ "Deters", "Justin", "" ], [ "Wu", "Jiaye", "" ], [ "Xu", "Yifan", "" ], [ "Lee", "I-Ting Angelina", "" ] ]
Task parallelism is designed to simplify the task of parallel programming. When executing a task parallel program on modern NUMA architectures, it can fail to scale due to the phenomenon called work inflation, where the overall processing time that multiple cores spend on doing useful work is higher compared to the tim...
1902.06097
Andreas Abel
Andreas Abel and Christian Sattler
Normalization by Evaluation for Call-by-Push-Value and Polarized Lambda-Calculus
null
null
null
null
cs.PL cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We observe that normalization by evaluation for simply-typed lambda-calculus with weak coproducts can be carried out in a weak bi-cartesian closed category of presheaves equipped with a monad that allows us to perform case distinction on neutral terms of sum type. The placement of the monad influences the normal form...
[ { "created": "Sat, 16 Feb 2019 12:26:22 GMT", "version": "v1" } ]
2019-02-20
[ [ "Abel", "Andreas", "" ], [ "Sattler", "Christian", "" ] ]
We observe that normalization by evaluation for simply-typed lambda-calculus with weak coproducts can be carried out in a weak bi-cartesian closed category of presheaves equipped with a monad that allows us to perform case distinction on neutral terms of sum type. The placement of the monad influences the normal forms ...
1806.07110
Nuno C. Garcia
Nuno Garcia, Pietro Morerio, Vittorio Murino
Modality Distillation with Multiple Stream Networks for Action Recognition
Accepted at ECCV 2018; Supp. material at p.16; code available
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diverse input data modalities can provide complementary cues for several tasks, usually leading to more robust algorithms and better performance. However, while a (training) dataset could be accurately designed to include a variety of sensory inputs, it is often the case that not all modalities could be available in ...
[ { "created": "Tue, 19 Jun 2018 08:56:13 GMT", "version": "v1" }, { "created": "Mon, 29 Oct 2018 15:19:56 GMT", "version": "v2" } ]
2018-10-30
[ [ "Garcia", "Nuno", "" ], [ "Morerio", "Pietro", "" ], [ "Murino", "Vittorio", "" ] ]
Diverse input data modalities can provide complementary cues for several tasks, usually leading to more robust algorithms and better performance. However, while a (training) dataset could be accurately designed to include a variety of sensory inputs, it is often the case that not all modalities could be available in re...
2402.17336
Theofanis Raptis
Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis
Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths
This work has been submitted to the IEEE for possible publication. Work partly supported by the RA Science Committee grant No. 22rl-052 (DISTAL) and the EU under Italian National Recovery and Resilience Plan of NextGenerationEU on "Telecommunications of the Future" (PE00000001 - program "RESTART")
null
null
null
cs.NI cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional methods for outdoor environment reconstruction rely predominantly on vision-based techniques like photogrammetry and LiDAR, facing limitations such as constrained coverage, susceptibility to environmental conditions, and high computational and energy demands. These challenges are particularly pronounced ...
[ { "created": "Tue, 27 Feb 2024 09:11:10 GMT", "version": "v1" } ]
2024-04-13
[ [ "Khachatrian", "Hrant", "" ], [ "Mkrtchyan", "Rafayel", "" ], [ "Raptis", "Theofanis P.", "" ] ]
Conventional methods for outdoor environment reconstruction rely predominantly on vision-based techniques like photogrammetry and LiDAR, facing limitations such as constrained coverage, susceptibility to environmental conditions, and high computational and energy demands. These challenges are particularly pronounced in...
2305.06543
Lei Yan
Lei Yan, Zhijin Qin, Chunfeng Li, Rui Zhang, Yongzhao Li, and Xiaoming Tao
QoE-based Semantic-Aware Resource Allocation for Multi-Task Networks
This work has been accepted by IEEE Transactions on Wireless Communications. arXiv admin note: text overlap with arXiv:2205.14530
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By transmitting task-related information only, semantic communications yield significant performance gains over conventional communications. However, the lack of mature semantic theory about semantic information quantification and performance evaluation makes it challenging to perform resource allocation for semantic...
[ { "created": "Thu, 11 May 2023 03:18:06 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2024 14:40:07 GMT", "version": "v2" } ]
2024-04-09
[ [ "Yan", "Lei", "" ], [ "Qin", "Zhijin", "" ], [ "Li", "Chunfeng", "" ], [ "Zhang", "Rui", "" ], [ "Li", "Yongzhao", "" ], [ "Tao", "Xiaoming", "" ] ]
By transmitting task-related information only, semantic communications yield significant performance gains over conventional communications. However, the lack of mature semantic theory about semantic information quantification and performance evaluation makes it challenging to perform resource allocation for semantic c...
1801.09063
Parastoo Sadeghi
Yucheng Liu, Parastoo Sadeghi, Fatemeh Arbabjolfaei, and Young-Han Kim
Capacity Theorems for Distributed Index Coding
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In index coding, a server broadcasts multiple messages to their respective receivers, each with some side information that can be utilized to reduce the amount of communication from the server. Distributed index coding is an extension of index coding in which the messages are broadcast from multiple servers, each sto...
[ { "created": "Sat, 27 Jan 2018 10:05:49 GMT", "version": "v1" }, { "created": "Sun, 5 Apr 2020 03:37:21 GMT", "version": "v2" } ]
2020-04-07
[ [ "Liu", "Yucheng", "" ], [ "Sadeghi", "Parastoo", "" ], [ "Arbabjolfaei", "Fatemeh", "" ], [ "Kim", "Young-Han", "" ] ]
In index coding, a server broadcasts multiple messages to their respective receivers, each with some side information that can be utilized to reduce the amount of communication from the server. Distributed index coding is an extension of index coding in which the messages are broadcast from multiple servers, each stori...
1801.06274
Yuhao Zhu
Yuhao Zhu, Matthew Mattina, Paul Whatmough
Mobile Machine Learning Hardware at ARM: A Systems-on-Chip (SoC) Perspective
null
null
null
null
cs.LG cs.AR cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typi...
[ { "created": "Fri, 19 Jan 2018 02:42:10 GMT", "version": "v1" }, { "created": "Thu, 1 Feb 2018 23:54:27 GMT", "version": "v2" } ]
2018-02-05
[ [ "Zhu", "Yuhao", "" ], [ "Mattina", "Matthew", "" ], [ "Whatmough", "Paul", "" ] ]
Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency. However, machine learning is typica...
2209.15439
Yifan Lu
Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
We propose a novel domain adaptive action detection approach and a new adaptation protocol that leverages the recent advancements in image-level unsupervised domain adaptation (UDA) techniques and handle vagaries of instance-level video data. Self-training combined with cross-domain mixed sampling has shown remarkabl...
[ { "created": "Wed, 28 Sep 2022 22:03:25 GMT", "version": "v1" }, { "created": "Thu, 6 Oct 2022 09:48:43 GMT", "version": "v2" } ]
2022-10-07
[ [ "Lu", "Yifan", "" ], [ "Singh", "Gurkirt", "" ], [ "Saha", "Suman", "" ], [ "Van Gool", "Luc", "" ] ]
We propose a novel domain adaptive action detection approach and a new adaptation protocol that leverages the recent advancements in image-level unsupervised domain adaptation (UDA) techniques and handle vagaries of instance-level video data. Self-training combined with cross-domain mixed sampling has shown remarkable ...
1801.02690
Benjamin Elizalde
Abelino Jimenez, Benjamin Elizalde, Bhiksha Raj
DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Acoustic scene recordings are represented by different types of handcrafted or Neural Network-derived features. These features, typically of thousands of dimensions, are classified in state of the art approaches using kernel machines, such as the Support Vector Machines (SVM). However, the complexity of training thes...
[ { "created": "Mon, 8 Jan 2018 21:12:49 GMT", "version": "v1" } ]
2018-01-10
[ [ "Jimenez", "Abelino", "" ], [ "Elizalde", "Benjamin", "" ], [ "Raj", "Bhiksha", "" ] ]
Acoustic scene recordings are represented by different types of handcrafted or Neural Network-derived features. These features, typically of thousands of dimensions, are classified in state of the art approaches using kernel machines, such as the Support Vector Machines (SVM). However, the complexity of training these ...
2211.12223
Hassan Hussein
Hassan Hussein, Allard Oelen, Oliver Karras, S\"oren Auer
KGMM -- A Maturity Model for Scholarly Knowledge Graphs based on Intertwined Human-Machine Collaboration
Accepted as a full paper at the ICADL 2022: International Conference on Asian Digital Libraries 2022
null
null
null
cs.DL cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Knowledge Graphs (KG) have gained increasing importance in science, business and society in the last years. However, most knowledge graphs were either extracted or compiled from existing sources. There are only relatively few examples where knowledge graphs were genuinely created by an intertwined human-machine colla...
[ { "created": "Tue, 22 Nov 2022 12:29:08 GMT", "version": "v1" } ]
2022-11-23
[ [ "Hussein", "Hassan", "" ], [ "Oelen", "Allard", "" ], [ "Karras", "Oliver", "" ], [ "Auer", "Sören", "" ] ]
Knowledge Graphs (KG) have gained increasing importance in science, business and society in the last years. However, most knowledge graphs were either extracted or compiled from existing sources. There are only relatively few examples where knowledge graphs were genuinely created by an intertwined human-machine collabo...
1808.04468
Yinlam Chow
Jonathan Lacotte and Mohammad Ghavamzadeh and Yinlam Chow and Marco Pavone
Risk-Sensitive Generative Adversarial Imitation Learning
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study risk-sensitive imitation learning where the agent's goal is to perform at least as well as the expert in terms of a risk profile. We first formulate our risk-sensitive imitation learning setting. We consider the generative adversarial approach to imitation learning (GAIL) and derive an optimization problem f...
[ { "created": "Mon, 13 Aug 2018 21:08:46 GMT", "version": "v1" }, { "created": "Mon, 24 Dec 2018 02:41:29 GMT", "version": "v2" } ]
2018-12-27
[ [ "Lacotte", "Jonathan", "" ], [ "Ghavamzadeh", "Mohammad", "" ], [ "Chow", "Yinlam", "" ], [ "Pavone", "Marco", "" ] ]
We study risk-sensitive imitation learning where the agent's goal is to perform at least as well as the expert in terms of a risk profile. We first formulate our risk-sensitive imitation learning setting. We consider the generative adversarial approach to imitation learning (GAIL) and derive an optimization problem for...
1508.06853
Daniele Liciotti
Daniele Liciotti, Marco Contigiani, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Valerio Placidi
Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments. We propose an innovative low cost smart system that can understand the shoppers' behavior and, in particular, their interactions with the products in the she...
[ { "created": "Thu, 27 Aug 2015 13:31:09 GMT", "version": "v1" } ]
2015-08-28
[ [ "Liciotti", "Daniele", "" ], [ "Contigiani", "Marco", "" ], [ "Frontoni", "Emanuele", "" ], [ "Mancini", "Adriano", "" ], [ "Zingaretti", "Primo", "" ], [ "Placidi", "Valerio", "" ] ]
The aim of this paper is to present an integrated system consisted of a RGB-D camera and a software able to monitor shoppers in intelligent retail environments. We propose an innovative low cost smart system that can understand the shoppers' behavior and, in particular, their interactions with the products in the shelv...
2310.05034
Zhifeng Hu
Zhifeng Hu, Chong Han, Xudong Wang
Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supporting ultra-high data rates and flexible reconfigurability, Terahertz (THz) mesh networks are attractive for next-generation wireless backhaul systems that empower the integrated access and backhaul (IAB). In THz mesh backhaul networks, the efficient cross-layer routing and long-term resource allocation is yet a...
[ { "created": "Sun, 8 Oct 2023 06:36:00 GMT", "version": "v1" } ]
2023-10-10
[ [ "Hu", "Zhifeng", "" ], [ "Han", "Chong", "" ], [ "Wang", "Xudong", "" ] ]
Supporting ultra-high data rates and flexible reconfigurability, Terahertz (THz) mesh networks are attractive for next-generation wireless backhaul systems that empower the integrated access and backhaul (IAB). In THz mesh backhaul networks, the efficient cross-layer routing and long-term resource allocation is yet an ...
1810.01997
Guna Prasaad
Guna Prasaad, Alvin Cheung, Dan Suciu
Improving High Contention OLTP Performance via Transaction Scheduling
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research in transaction processing has made significant progress in improving the performance of multi-core in-memory transactional systems. However, the focus has mainly been on low-contention workloads. Modern transactional systems perform poorly on workloads with transactions accessing a few highly contended data ...
[ { "created": "Wed, 3 Oct 2018 22:53:29 GMT", "version": "v1" } ]
2018-10-05
[ [ "Prasaad", "Guna", "" ], [ "Cheung", "Alvin", "" ], [ "Suciu", "Dan", "" ] ]
Research in transaction processing has made significant progress in improving the performance of multi-core in-memory transactional systems. However, the focus has mainly been on low-contention workloads. Modern transactional systems perform poorly on workloads with transactions accessing a few highly contended data it...
2312.12244
Mohammadali Mohammadi
Mohamed Elfiatoure and Mohammadali Mohammadi and Hien Quoc Ngo and Peter J. Smith and Michail Matthaiou
Protecting Massive MIMO-Radar Coexistence: Precoding Design and Power Control
10 Figures, IEEE Open Journal of the Communication society
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
This paper studies the coexistence between a downlink multiuser massive multi-input-multi-output (MIMO) communication system and MIMO radar. The performance of the massive MIMO system with maximum ratio ($\MR$), zero-forcing ($\ZF$), and protective $\ZF$ ($\PZF$) precoding designs is characterized in terms of spectra...
[ { "created": "Tue, 19 Dec 2023 15:28:00 GMT", "version": "v1" } ]
2023-12-20
[ [ "Elfiatoure", "Mohamed", "" ], [ "Mohammadi", "Mohammadali", "" ], [ "Ngo", "Hien Quoc", "" ], [ "Smith", "Peter J.", "" ], [ "Matthaiou", "Michail", "" ] ]
This paper studies the coexistence between a downlink multiuser massive multi-input-multi-output (MIMO) communication system and MIMO radar. The performance of the massive MIMO system with maximum ratio ($\MR$), zero-forcing ($\ZF$), and protective $\ZF$ ($\PZF$) precoding designs is characterized in terms of spectral ...
2309.15817
Yangjun Ruan
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
null
null
null
null
cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent advances in Language Model (LM) agents and tool use, exemplified by applications like ChatGPT Plugins, enable a rich set of capabilities but also amplify potential risks - such as leaking private data or causing financial losses. Identifying these risks is labor-intensive, necessitating implementing the tools,...
[ { "created": "Mon, 25 Sep 2023 17:08:02 GMT", "version": "v1" }, { "created": "Fri, 17 May 2024 17:17:45 GMT", "version": "v2" } ]
2024-05-20
[ [ "Ruan", "Yangjun", "" ], [ "Dong", "Honghua", "" ], [ "Wang", "Andrew", "" ], [ "Pitis", "Silviu", "" ], [ "Zhou", "Yongchao", "" ], [ "Ba", "Jimmy", "" ], [ "Dubois", "Yann", "" ], [ "Maddison", ...
Recent advances in Language Model (LM) agents and tool use, exemplified by applications like ChatGPT Plugins, enable a rich set of capabilities but also amplify potential risks - such as leaking private data or causing financial losses. Identifying these risks is labor-intensive, necessitating implementing the tools, s...
1703.00632
Divya Padmanabhan
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K.J., Shirish Shevade and Y. Narahari
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic multi-armed bandit (MAB) mechanisms are widely used in sponsored search auctions, crowdsourcing, online procurement, etc. Existing stochastic MAB mechanisms with a deterministic payment rule, proposed in the literature, necessarily suffer a regret of $\Omega(T^{2/3})$, where $T$ is the number of time steps...
[ { "created": "Thu, 2 Mar 2017 05:36:16 GMT", "version": "v1" }, { "created": "Fri, 29 May 2020 08:43:39 GMT", "version": "v2" } ]
2020-06-01
[ [ "Padmanabhan", "Divya", "" ], [ "Bhat", "Satyanath", "" ], [ "J.", "Prabuchandran K.", "" ], [ "Shevade", "Shirish", "" ], [ "Narahari", "Y.", "" ] ]
Stochastic multi-armed bandit (MAB) mechanisms are widely used in sponsored search auctions, crowdsourcing, online procurement, etc. Existing stochastic MAB mechanisms with a deterministic payment rule, proposed in the literature, necessarily suffer a regret of $\Omega(T^{2/3})$, where $T$ is the number of time steps. ...
2212.11211
Fahmida Tasnim Lisa
Fahmida Tasnim Lisa, Md. Zarif Hossain, Sharmin Naj Mou, Shahriar Ivan, and Md. Hasanul Kabir (Islamic University of Technology, Gazipur, Bangladesh)
Land Cover and Land Use Detection using Semi-Supervised Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semi-supervised learning (SSL) has made significant strides in the field of remote sensing. Finding a large number of labeled datasets for SSL methods is uncommon, and manually labeling datasets is expensive and time-consuming. Furthermore, accurately identifying remote sensing satellite images is more complicated th...
[ { "created": "Wed, 21 Dec 2022 17:36:28 GMT", "version": "v1" } ]
2022-12-22
[ [ "Lisa", "Fahmida Tasnim", "", "Islamic University of Technology, Gazipur,\n Bangladesh" ], [ "Hossain", "Md. Zarif", "", "Islamic University of Technology, Gazipur,\n Bangladesh" ], [ "Mou", "Sharmin Naj", "", "Islamic University of Technology, Gazipur,\n ...
Semi-supervised learning (SSL) has made significant strides in the field of remote sensing. Finding a large number of labeled datasets for SSL methods is uncommon, and manually labeling datasets is expensive and time-consuming. Furthermore, accurately identifying remote sensing satellite images is more complicated than...
2103.11144
Carmel Rabinovitz
Carmel Rabinovitz, Niko Grupen and Aviv Tamar
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Accepted to ICRA 2021, code can be found at https://github.com/carmelrabinov/cdr
null
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Robotic tasks such as manipulation with visual inputs require image features that capture the physical properties of the scene, e.g., the position and configuration of objects. Recently, it has been suggested to learn such features in an unsupervised manner from simulated, self-supervised, robot interaction; the idea...
[ { "created": "Sat, 20 Mar 2021 09:54:45 GMT", "version": "v1" }, { "created": "Tue, 8 Jun 2021 12:52:56 GMT", "version": "v2" } ]
2021-06-09
[ [ "Rabinovitz", "Carmel", "" ], [ "Grupen", "Niko", "" ], [ "Tamar", "Aviv", "" ] ]
Robotic tasks such as manipulation with visual inputs require image features that capture the physical properties of the scene, e.g., the position and configuration of objects. Recently, it has been suggested to learn such features in an unsupervised manner from simulated, self-supervised, robot interaction; the idea b...
2110.05727
Yilun Zhu
Yilun Zhu, Sameer Pradhan, Amir Zeldes
Anatomy of OntoGUM--Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
CRAC 2021. arXiv admin note: substantial text overlap with arXiv:2106.00933
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark. However lack of comparable data following the same scheme for more genres makes it difficult to evaluate generalizability to open domain data. Zhu et al. (2021) introduced the creation of the OntoGUM corpus for evaluating ...
[ { "created": "Tue, 12 Oct 2021 03:52:49 GMT", "version": "v1" } ]
2021-10-13
[ [ "Zhu", "Yilun", "" ], [ "Pradhan", "Sameer", "" ], [ "Zeldes", "Amir", "" ] ]
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark. However lack of comparable data following the same scheme for more genres makes it difficult to evaluate generalizability to open domain data. Zhu et al. (2021) introduced the creation of the OntoGUM corpus for evaluating ge...
2002.08103
Pierre Monnin
Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet
Knowledge-Based Matching of $n$-ary Tuples
null
null
10.1007/978-3-030-57855-8_4
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasing number of data and knowledge sources are accessible by human and software agents in the expanding Semantic Web. Sources may differ in granularity or completeness, and thus be complementary. Consequently, they should be reconciled in order to unlock the full potential of their conjoint knowledge. In part...
[ { "created": "Wed, 19 Feb 2020 11:01:33 GMT", "version": "v1" }, { "created": "Thu, 14 May 2020 18:51:53 GMT", "version": "v2" } ]
2020-11-12
[ [ "Monnin", "Pierre", "" ], [ "Couceiro", "Miguel", "" ], [ "Napoli", "Amedeo", "" ], [ "Coulet", "Adrien", "" ] ]
An increasing number of data and knowledge sources are accessible by human and software agents in the expanding Semantic Web. Sources may differ in granularity or completeness, and thus be complementary. Consequently, they should be reconciled in order to unlock the full potential of their conjoint knowledge. In partic...
2102.11917
Edmon Begoli
Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Authorship analysis is an important subject in the field of natural language processing. It allows the detection of the most likely writer of articles, news, books, or messages. This technique has multiple uses in tasks related to authorship attribution, detection of plagiarism, style analysis, sources of misinformat...
[ { "created": "Tue, 23 Feb 2021 19:55:45 GMT", "version": "v1" } ]
2021-02-25
[ [ "Duncan", "Jeremiah", "" ], [ "Fallas", "Fabian", "" ], [ "Gropp", "Chris", "" ], [ "Herron", "Emily", "" ], [ "Mahbub", "Maria", "" ], [ "Olaya", "Paula", "" ], [ "Ponce", "Eduardo", "" ], [ "Samue...
Authorship analysis is an important subject in the field of natural language processing. It allows the detection of the most likely writer of articles, news, books, or messages. This technique has multiple uses in tasks related to authorship attribution, detection of plagiarism, style analysis, sources of misinformatio...
2212.00291
Zachary Ankner
Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin
The Effect of Data Dimensionality on Neural Network Prunability
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Practitioners prune neural networks for efficiency gains and generalization improvements, but few scrutinize the factors determining the prunability of a neural network the maximum fraction of weights that pruning can remove without compromising the model's test accuracy. In this work, we study the properties of inpu...
[ { "created": "Thu, 1 Dec 2022 05:33:25 GMT", "version": "v1" } ]
2022-12-02
[ [ "Ankner", "Zachary", "" ], [ "Renda", "Alex", "" ], [ "Dziugaite", "Gintare Karolina", "" ], [ "Frankle", "Jonathan", "" ], [ "Jin", "Tian", "" ] ]
Practitioners prune neural networks for efficiency gains and generalization improvements, but few scrutinize the factors determining the prunability of a neural network the maximum fraction of weights that pruning can remove without compromising the model's test accuracy. In this work, we study the properties of input ...
0709.0599
Igal Sason
Igal Sason
On Universal Properties of Capacity-Approaching LDPC Ensembles
Published in the IEEE Trans. on Information Theory, vol. 55, no. 7, pp. 2956 - 2990, July 2009
null
10.1109/TIT.2009.2021305
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is focused on the derivation of some universal properties of capacity-approaching low-density parity-check (LDPC) code ensembles whose transmission takes place over memoryless binary-input output-symmetric (MBIOS) channels. Properties of the degree distributions, graphical complexity and the number of fund...
[ { "created": "Wed, 5 Sep 2007 12:25:58 GMT", "version": "v1" }, { "created": "Sun, 9 Sep 2007 14:10:41 GMT", "version": "v2" }, { "created": "Tue, 18 Sep 2007 07:49:42 GMT", "version": "v3" }, { "created": "Sun, 21 Oct 2007 11:52:19 GMT", "version": "v4" }, { "cre...
2016-11-17
[ [ "Sason", "Igal", "" ] ]
This paper is focused on the derivation of some universal properties of capacity-approaching low-density parity-check (LDPC) code ensembles whose transmission takes place over memoryless binary-input output-symmetric (MBIOS) channels. Properties of the degree distributions, graphical complexity and the number of fundam...
2310.11689
Jiefeng Chen
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Tomas Pfister, Somesh Jha
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Paper published at Findings of the Association for Computational Linguistics: EMNLP, 2023
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have recently shown great advances in a variety of tasks, including natural language understanding and generation. However, their use in high-stakes decision-making scenarios is still limited due to the potential for errors. Selective prediction is a technique that can be used to improve ...
[ { "created": "Wed, 18 Oct 2023 03:34:59 GMT", "version": "v1" }, { "created": "Sat, 11 Nov 2023 19:29:42 GMT", "version": "v2" } ]
2023-11-14
[ [ "Chen", "Jiefeng", "" ], [ "Yoon", "Jinsung", "" ], [ "Ebrahimi", "Sayna", "" ], [ "Arik", "Sercan O", "" ], [ "Pfister", "Tomas", "" ], [ "Jha", "Somesh", "" ] ]
Large language models (LLMs) have recently shown great advances in a variety of tasks, including natural language understanding and generation. However, their use in high-stakes decision-making scenarios is still limited due to the potential for errors. Selective prediction is a technique that can be used to improve th...
2306.05106
Tao Gu
Alexander V. Gheorghiu, Tao Gu, David J. Pym
Proof-theoretic Semantics for Intuitionistic Multiplicative Linear Logic
27 pages
null
null
null
cs.LO math.LO
http://creativecommons.org/licenses/by/4.0/
This work is the first exploration of proof-theoretic semantics for a substructural logic. It focuses on the base-extension semantics (B-eS) for intuitionistic multiplicative linear logic (IMLL). The starting point is a review of Sandqvist's B-eS for intuitionistic propositional logic (IPL), for which we propose an a...
[ { "created": "Thu, 8 Jun 2023 11:13:57 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2023 16:12:24 GMT", "version": "v2" } ]
2024-03-20
[ [ "Gheorghiu", "Alexander V.", "" ], [ "Gu", "Tao", "" ], [ "Pym", "David J.", "" ] ]
This work is the first exploration of proof-theoretic semantics for a substructural logic. It focuses on the base-extension semantics (B-eS) for intuitionistic multiplicative linear logic (IMLL). The starting point is a review of Sandqvist's B-eS for intuitionistic propositional logic (IPL), for which we propose an alt...
2107.11768
Linhao Zhang
Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Spoken Language Understanding (SLU) is composed of two subtasks: intent detection (ID) and slot filling (SF). There are two lines of research on SLU. One jointly tackles these two subtasks to improve their prediction accuracy, and the other focuses on the domain-adaptation ability of one of the subtasks. In this pape...
[ { "created": "Sun, 25 Jul 2021 09:38:42 GMT", "version": "v1" } ]
2021-07-27
[ [ "Zhang", "Linhao", "" ], [ "Shi", "Yu", "" ], [ "Shou", "Linjun", "" ], [ "Gong", "Ming", "" ], [ "Wang", "Houfeng", "" ], [ "Zeng", "Michael", "" ] ]
Spoken Language Understanding (SLU) is composed of two subtasks: intent detection (ID) and slot filling (SF). There are two lines of research on SLU. One jointly tackles these two subtasks to improve their prediction accuracy, and the other focuses on the domain-adaptation ability of one of the subtasks. In this paper,...
cs/0310047
Simona Perri
Simona Perri, Francesco Scarcello, Nicola Leone
Abductive Logic Programs with Penalization: Semantics, Complexity and Implementation
36 pages; will be published in Theory and Practice of Logic Programming
null
null
null
cs.AI
null
Abduction, first proposed in the setting of classical logics, has been studied with growing interest in the logic programming area during the last years. In this paper we study abduction with penalization in the logic programming framework. This form of abductive reasoning, which has not been previously analyzed in...
[ { "created": "Fri, 24 Oct 2003 18:03:06 GMT", "version": "v1" } ]
2007-05-23
[ [ "Perri", "Simona", "" ], [ "Scarcello", "Francesco", "" ], [ "Leone", "Nicola", "" ] ]
Abduction, first proposed in the setting of classical logics, has been studied with growing interest in the logic programming area during the last years. In this paper we study abduction with penalization in the logic programming framework. This form of abductive reasoning, which has not been previously analyzed in log...
2205.04977
Marios Constantinides
Marios Constantinides, Daniele Quercia
The Future of Hybrid Meetings
10 pages, 1 figure
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Meetings are typically considered to be the fuel of an organization's productivity -- a place where employees discuss ideas and make collective decisions. However, it is no secret that meetings are also often perceived as wasteful vacuums, depleting employee morale and productivity, likely due to the fact that curren...
[ { "created": "Tue, 10 May 2022 15:33:49 GMT", "version": "v1" } ]
2022-05-11
[ [ "Constantinides", "Marios", "" ], [ "Quercia", "Daniele", "" ] ]
Meetings are typically considered to be the fuel of an organization's productivity -- a place where employees discuss ideas and make collective decisions. However, it is no secret that meetings are also often perceived as wasteful vacuums, depleting employee morale and productivity, likely due to the fact that current ...
0906.3231
EPTCS
Sergey Verlan, Yurii Rogozhin
New Choice for Small Universal Devices: Symport/Antiport P Systems
null
EPTCS 1, 2009, pp. 235-242
10.4204/EPTCS.1.23
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Symport/antiport P systems provide a very simple machinery inspired by corresponding operations in the living cell. It turns out that systems of small descriptional complexity are needed to achieve the universality by these systems. This makes them a good candidate for small universal devices replacing register machi...
[ { "created": "Wed, 17 Jun 2009 16:14:54 GMT", "version": "v1" } ]
2009-06-18
[ [ "Verlan", "Sergey", "" ], [ "Rogozhin", "Yurii", "" ] ]
Symport/antiport P systems provide a very simple machinery inspired by corresponding operations in the living cell. It turns out that systems of small descriptional complexity are needed to achieve the universality by these systems. This makes them a good candidate for small universal devices replacing register machine...
2403.15209
Taeheon Kim
Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Multispectral pedestrian detection is attractive for around-the-clock applications due to the complementary information between RGB and thermal modalities. However, current models often fail to detect pedestrians in certain cases (e.g., thermal-obscured pedestrians), particularly due to the modality bias learned from...
[ { "created": "Fri, 22 Mar 2024 13:50:27 GMT", "version": "v1" }, { "created": "Wed, 29 May 2024 12:53:17 GMT", "version": "v2" } ]
2024-05-30
[ [ "Kim", "Taeheon", "" ], [ "Chung", "Sangyun", "" ], [ "Yeom", "Damin", "" ], [ "Yu", "Youngjoon", "" ], [ "Kim", "Hak Gu", "" ], [ "Ro", "Yong Man", "" ] ]
Multispectral pedestrian detection is attractive for around-the-clock applications due to the complementary information between RGB and thermal modalities. However, current models often fail to detect pedestrians in certain cases (e.g., thermal-obscured pedestrians), particularly due to the modality bias learned from s...
2404.08675
Yabin Zhang
Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
null
null
null
null
cs.IR cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we design a new chat framework in item index level for the recommendation task. Our n...
[ { "created": "Sat, 6 Apr 2024 12:38:54 GMT", "version": "v1" } ]
2024-04-16
[ [ "Zhang", "Yabin", "" ], [ "Yu", "Wenhui", "" ], [ "Zhang", "Erhan", "" ], [ "Chen", "Xu", "" ], [ "Hu", "Lantao", "" ], [ "Jiang", "Peng", "" ], [ "Gai", "Kun", "" ] ]
ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we design a new chat framework in item index level for the recommendation task. Our nov...
2404.10780
Muhammad Shoaib Farooq
Muhammad Shoaib Farooq, Hina jabbar
Phishing Website Detection Using a Combined Model of ANN and LSTM
Pages 9, Figures 5
null
null
null
cs.CR cs.CY
http://creativecommons.org/licenses/by/4.0/
In this digital era, our lives highly depend on the internet and worldwide technology. Wide usage of technology and platforms of communication makes our lives better and easier. But on the other side it carries out some security issues and cruel activities, phishing is one activity of these cruel activities. It is a ...
[ { "created": "Sun, 24 Mar 2024 14:46:02 GMT", "version": "v1" } ]
2024-04-18
[ [ "Farooq", "Muhammad Shoaib", "" ], [ "jabbar", "Hina", "" ] ]
In this digital era, our lives highly depend on the internet and worldwide technology. Wide usage of technology and platforms of communication makes our lives better and easier. But on the other side it carries out some security issues and cruel activities, phishing is one activity of these cruel activities. It is a ty...
2301.12695
Jiahao He
Jiahao He, Shuangyin Li, Xinming Wang, Shing-Chi Cheung, Gansen Zhao and Jinji Yang
Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode
19 pages, 13 figures
null
10.1016/j.jss.2023.111627
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are unavailable, involving identification comprising function entry identification and detecting its boundaries. Such boundaries are critical...
[ { "created": "Mon, 30 Jan 2023 07:02:44 GMT", "version": "v1" }, { "created": "Wed, 1 Feb 2023 08:53:03 GMT", "version": "v2" } ]
2023-02-02
[ [ "He", "Jiahao", "" ], [ "Li", "Shuangyin", "" ], [ "Wang", "Xinming", "" ], [ "Cheung", "Shing-Chi", "" ], [ "Zhao", "Gansen", "" ], [ "Yang", "Jinji", "" ] ]
Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are unavailable, involving identification comprising function entry identification and detecting its boundaries. Such boundaries are critical t...
1902.01031
Md Ashraful Alam Milton
Md Ashraful Alam Milton
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
ECCV Wider pedestrian detection challenege submission
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
The main essence of this paper is to investigate the performance of RetinaNet based object detectors on pedestrian detection. Pedestrian detection is an important research topic as it provides a baseline for general object detection and has a great number of practical applications like autonomous car, robotics and Se...
[ { "created": "Mon, 4 Feb 2019 04:49:59 GMT", "version": "v1" } ]
2019-02-05
[ [ "Milton", "Md Ashraful Alam", "" ] ]
The main essence of this paper is to investigate the performance of RetinaNet based object detectors on pedestrian detection. Pedestrian detection is an important research topic as it provides a baseline for general object detection and has a great number of practical applications like autonomous car, robotics and Secu...
2206.09977
Mohamad Kazem Shirani Faradonbeh
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
Thompson Sampling Efficiently Learns to Control Diffusion Processes
null
null
null
null
cs.LG cs.AI cs.SY eess.SY math.DS math.OC
http://creativecommons.org/licenses/by/4.0/
Diffusion processes that evolve according to linear stochastic differential equations are an important family of continuous-time dynamic decision-making models. Optimal policies are well-studied for them, under full certainty about the drift matrices. However, little is known about data-driven control of diffusion pr...
[ { "created": "Mon, 20 Jun 2022 19:42:49 GMT", "version": "v1" } ]
2022-06-22
[ [ "Faradonbeh", "Mohamad Kazem Shirani", "" ], [ "Faradonbeh", "Mohamad Sadegh Shirani", "" ], [ "Bayati", "Mohsen", "" ] ]
Diffusion processes that evolve according to linear stochastic differential equations are an important family of continuous-time dynamic decision-making models. Optimal policies are well-studied for them, under full certainty about the drift matrices. However, little is known about data-driven control of diffusion proc...
1711.10713
Lse Lse
Damien Pollet (1), St\'ephane Ducasse (1) ((1) RMOD)
A critical analysis of string APIs: The case of Pharo
Science of Computer Programming, Elsevier, 2017
null
10.1016/j.scico.2017.11.005
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most programming languages, besides C, provide a native abstraction for character strings, but string APIs vary widely in size, expressiveness, and subjective convenience across languages. In Pharo, while at first glance the API of the String class seems rich, it often feels cumbersome in practice; to improve its usa...
[ { "created": "Wed, 29 Nov 2017 07:48:12 GMT", "version": "v1" } ]
2019-04-30
[ [ "Pollet", "Damien", "", "RMOD" ], [ "Ducasse", "Stéphane", "", "RMOD" ] ]
Most programming languages, besides C, provide a native abstraction for character strings, but string APIs vary widely in size, expressiveness, and subjective convenience across languages. In Pharo, while at first glance the API of the String class seems rich, it often feels cumbersome in practice; to improve its usabi...
2106.15335
Pierre Tholoniat
Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias L\'ecuyer
Privacy Budget Scheduling
Extended version of a paper presented at the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21)
null
null
null
cs.CR cs.DC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning (ML) models trained on personal data have been shown to leak information about users. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Each new model trained with DP increases the bound on data leakage and can be seen as consuming part of a global privacy budg...
[ { "created": "Tue, 29 Jun 2021 12:43:47 GMT", "version": "v1" } ]
2021-06-30
[ [ "Luo", "Tao", "" ], [ "Pan", "Mingen", "" ], [ "Tholoniat", "Pierre", "" ], [ "Cidon", "Asaf", "" ], [ "Geambasu", "Roxana", "" ], [ "Lécuyer", "Mathias", "" ] ]
Machine learning (ML) models trained on personal data have been shown to leak information about users. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Each new model trained with DP increases the bound on data leakage and can be seen as consuming part of a global privacy budget...
2203.10217
Stefan Scherzinger
Stefan Scherzinger and Jakob Weinland and Robert Wilbrandt and Pascal Becker and Arne Roennau and R\"udiger Dillmann
A Walking Space Robot for On-Orbit Satellite Servicing: The ReCoBot
7 pages, 9 figures, submitted to the 18th IEEE International Conference on Automation Science and Engineering (CASE)
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
A key factor in the economic efficiency of satellites is their availability in orbit. Replacing standardized building blocks, such as empty fuel tanks or outdated electronic modules, could greatly extend the satellites' lifetime. This, however, requires flexible robots that can locomote on the surface of these satell...
[ { "created": "Sat, 19 Mar 2022 02:29:11 GMT", "version": "v1" } ]
2022-03-22
[ [ "Scherzinger", "Stefan", "" ], [ "Weinland", "Jakob", "" ], [ "Wilbrandt", "Robert", "" ], [ "Becker", "Pascal", "" ], [ "Roennau", "Arne", "" ], [ "Dillmann", "Rüdiger", "" ] ]
A key factor in the economic efficiency of satellites is their availability in orbit. Replacing standardized building blocks, such as empty fuel tanks or outdated electronic modules, could greatly extend the satellites' lifetime. This, however, requires flexible robots that can locomote on the surface of these satellit...
1411.2883
Namita Jain Mrs
Namita Jain and C.A. Murthy
A new estimate of mutual information based measure of dependence between two variables: properties and fast implementation
International Journal of Machine Learning and Cybernetics, Springer Berlin Heidelberg, 10-Sep-2015
null
10.1007/s13042-015-0418-6
null
cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article proposes a new method to estimate an existing mutual information based dependence measure using histogram density estimates. Finding a suitable bin length for histogram is an open problem. We propose a new way of computing the bin length for histogram using a function of maximum separation between points...
[ { "created": "Tue, 28 Oct 2014 12:49:24 GMT", "version": "v1" }, { "created": "Fri, 9 Jan 2015 02:31:35 GMT", "version": "v2" }, { "created": "Fri, 21 Aug 2015 09:04:18 GMT", "version": "v3" }, { "created": "Mon, 14 Sep 2015 02:36:58 GMT", "version": "v4" } ]
2015-09-15
[ [ "Jain", "Namita", "" ], [ "Murthy", "C. A.", "" ] ]
This article proposes a new method to estimate an existing mutual information based dependence measure using histogram density estimates. Finding a suitable bin length for histogram is an open problem. We propose a new way of computing the bin length for histogram using a function of maximum separation between points. ...
2003.05691
Yiduo Wang
Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matias Mattamala and Maurice Fallon
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
null
null
10.1109/IROS45743.2020.9340849
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a large dataset with a variety of mobile mapping sensors collected using a handheld device carried at typical walking speeds for nearly 2.2 km through New College, Oxford. The dataset includes data from two commercially available devices - a stereoscopic-inertial camera and a multi-beam 3D Li...
[ { "created": "Thu, 12 Mar 2020 10:17:16 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2022 14:33:50 GMT", "version": "v2" } ]
2022-07-01
[ [ "Ramezani", "Milad", "" ], [ "Wang", "Yiduo", "" ], [ "Camurri", "Marco", "" ], [ "Wisth", "David", "" ], [ "Mattamala", "Matias", "" ], [ "Fallon", "Maurice", "" ] ]
In this paper we present a large dataset with a variety of mobile mapping sensors collected using a handheld device carried at typical walking speeds for nearly 2.2 km through New College, Oxford. The dataset includes data from two commercially available devices - a stereoscopic-inertial camera and a multi-beam 3D LiDA...
2104.14421
Andrew Wilson
Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson
What Are Bayesian Neural Network Posteriors Really Like?
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The posterior over Bayesian neural network (BNN) parameters is extremely high-dimensional and non-convex. For computational reasons, researchers approximate this posterior using inexpensive mini-batch methods such as mean-field variational inference or stochastic-gradient Markov chain Monte Carlo (SGMCMC). To investi...
[ { "created": "Thu, 29 Apr 2021 15:38:46 GMT", "version": "v1" } ]
2021-04-30
[ [ "Izmailov", "Pavel", "" ], [ "Vikram", "Sharad", "" ], [ "Hoffman", "Matthew D.", "" ], [ "Wilson", "Andrew Gordon", "" ] ]
The posterior over Bayesian neural network (BNN) parameters is extremely high-dimensional and non-convex. For computational reasons, researchers approximate this posterior using inexpensive mini-batch methods such as mean-field variational inference or stochastic-gradient Markov chain Monte Carlo (SGMCMC). To investiga...
2404.05001
Ping Wang
Gang Qu, Ping Wang, and Xin Yuan
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Single-pixel imaging (SPI) is a potential computational imaging technique which produces image by solving an illposed reconstruction problem from few measurements captured by a single-pixel detector. Deep learning has achieved impressive success on SPI reconstruction. However, previous poor reconstruction performance...
[ { "created": "Sun, 7 Apr 2024 15:53:21 GMT", "version": "v1" } ]
2024-04-09
[ [ "Qu", "Gang", "" ], [ "Wang", "Ping", "" ], [ "Yuan", "Xin", "" ] ]
Single-pixel imaging (SPI) is a potential computational imaging technique which produces image by solving an illposed reconstruction problem from few measurements captured by a single-pixel detector. Deep learning has achieved impressive success on SPI reconstruction. However, previous poor reconstruction performance a...
1302.2671
Yoon-Sik Cho
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George Tita
Latent Self-Exciting Point Process Model for Spatial-Temporal Networks
20 pages, 6 figures (v3); 11 pages, 6 figures (v2); previous version appeared in the 9th Bayesian Modeling Applications Workshop, UAI'12
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS SERIES B, Vol. 19, pp. 1335-1354, 2014
10.3934/dcdsb.2014.19.1335
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities. In contrast to most existing approaches that assume fully observable interactions, here we consider a scenario where certain interaction events lack information about participants. I...
[ { "created": "Tue, 12 Feb 2013 00:01:02 GMT", "version": "v1" }, { "created": "Fri, 15 Feb 2013 18:02:36 GMT", "version": "v2" }, { "created": "Wed, 30 Apr 2014 23:42:52 GMT", "version": "v3" } ]
2014-05-02
[ [ "Cho", "Yoon-Sik", "" ], [ "Galstyan", "Aram", "" ], [ "Brantingham", "P. Jeffrey", "" ], [ "Tita", "George", "" ] ]
We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities. In contrast to most existing approaches that assume fully observable interactions, here we consider a scenario where certain interaction events lack information about participants. Ins...
2405.08547
Zhiwei Wang
Zhiwei Wang, Jun Huang, Longhua Ma, Chengyu Wu, Hongyu Ma
Exploring Graph-based Knowledge: Multi-Level Feature Distillation via Channels Relational Graph
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
In visual tasks, large teacher models capture essential features and deep information, enhancing performance. However, distilling this information into smaller student models often leads to performance loss due to structural differences and capacity limitations. To tackle this, we propose a distillation framework bas...
[ { "created": "Tue, 14 May 2024 12:37:05 GMT", "version": "v1" }, { "created": "Thu, 16 May 2024 05:25:01 GMT", "version": "v2" } ]
2024-05-17
[ [ "Wang", "Zhiwei", "" ], [ "Huang", "Jun", "" ], [ "Ma", "Longhua", "" ], [ "Wu", "Chengyu", "" ], [ "Ma", "Hongyu", "" ] ]
In visual tasks, large teacher models capture essential features and deep information, enhancing performance. However, distilling this information into smaller student models often leads to performance loss due to structural differences and capacity limitations. To tackle this, we propose a distillation framework based...
2307.15715
Gregor Stiglic
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
5 pages, 5 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Primary care professionals struggle to keep up to date with the latest scientific literature critical in guiding evidence-based practice related to their daily work. To help solve the above-mentioned problem, we employed generative artificial intelligence techniques based on large-scale language models to summarize a...
[ { "created": "Mon, 24 Jul 2023 21:42:27 GMT", "version": "v1" } ]
2023-08-01
[ [ "Stiglic", "Gregor", "" ], [ "Kopitar", "Leon", "" ], [ "Gosak", "Lucija", "" ], [ "Kocbek", "Primoz", "" ], [ "He", "Zhe", "" ], [ "Chakraborty", "Prithwish", "" ], [ "Meyer", "Pablo", "" ], [ "Bia...
Primary care professionals struggle to keep up to date with the latest scientific literature critical in guiding evidence-based practice related to their daily work. To help solve the above-mentioned problem, we employed generative artificial intelligence techniques based on large-scale language models to summarize abs...
2406.17216
Ayush Sekhari
Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel
Machine Unlearning Fails to Remove Data Poisoning Attacks
null
null
null
null
cs.LG cs.AI cs.CR cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
We revisit the efficacy of several practical methods for approximate machine unlearning developed for large-scale deep learning. In addition to complying with data deletion requests, one often-cited potential application for unlearning methods is to remove the effects of training on poisoned data. We experimentally d...
[ { "created": "Tue, 25 Jun 2024 02:05:29 GMT", "version": "v1" } ]
2024-06-26
[ [ "Pawelczyk", "Martin", "" ], [ "Di", "Jimmy Z.", "" ], [ "Lu", "Yiwei", "" ], [ "Kamath", "Gautam", "" ], [ "Sekhari", "Ayush", "" ], [ "Neel", "Seth", "" ] ]
We revisit the efficacy of several practical methods for approximate machine unlearning developed for large-scale deep learning. In addition to complying with data deletion requests, one often-cited potential application for unlearning methods is to remove the effects of training on poisoned data. We experimentally dem...
2304.08577
Artsiom Sanakoyeu
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
CVPR 2023, project page: https://dulucas.github.io/agrol/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the recent surge in popularity of AR/VR applications, realistic and accurate control of 3D full-body avatars has become a highly demanded feature. A particular challenge is that only a sparse tracking signal is available from standalone HMDs (Head Mounted Devices), often limited to tracking the user's head and w...
[ { "created": "Mon, 17 Apr 2023 19:35:13 GMT", "version": "v1" } ]
2023-04-19
[ [ "Du", "Yuming", "" ], [ "Kips", "Robin", "" ], [ "Pumarola", "Albert", "" ], [ "Starke", "Sebastian", "" ], [ "Thabet", "Ali", "" ], [ "Sanakoyeu", "Artsiom", "" ] ]
With the recent surge in popularity of AR/VR applications, realistic and accurate control of 3D full-body avatars has become a highly demanded feature. A particular challenge is that only a sparse tracking signal is available from standalone HMDs (Head Mounted Devices), often limited to tracking the user's head and wri...
2405.10077
Jacopo Bonari
Jacopo Bonari, Lisa K\"uhn, Max von Danwitz, Alexander Popp
Towards Real-Time Urban Physics Simulations with Digital Twins
null
null
null
null
cs.CE
http://creativecommons.org/licenses/by/4.0/
Urban populations continue to grow, highlighting the critical need to safeguard civilians against potential disruptions, such as dangerous gas contaminant dispersion. The digital twin (DT) framework offers promise in analyzing and predicting such events. This study presents a computational framework for modelling air...
[ { "created": "Thu, 16 May 2024 13:16:48 GMT", "version": "v1" }, { "created": "Mon, 12 Aug 2024 15:23:47 GMT", "version": "v2" } ]
2024-08-13
[ [ "Bonari", "Jacopo", "" ], [ "Kühn", "Lisa", "" ], [ "von Danwitz", "Max", "" ], [ "Popp", "Alexander", "" ] ]
Urban populations continue to grow, highlighting the critical need to safeguard civilians against potential disruptions, such as dangerous gas contaminant dispersion. The digital twin (DT) framework offers promise in analyzing and predicting such events. This study presents a computational framework for modelling airbo...
2104.12203
Muhammad Saif Ullah Khan
Muhammad Saif Ullah Khan
A novel segmentation dataset for signatures on bank checks
null
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
The dataset presented provides high-resolution images of real, filled out bank checks containing various complex backgrounds, and handwritten text and signatures in the respective fields, along with both pixel-level and patch-level segmentation masks for the signatures on the checks. The images of bank checks were ob...
[ { "created": "Sun, 25 Apr 2021 16:56:09 GMT", "version": "v1" }, { "created": "Wed, 28 Apr 2021 11:06:40 GMT", "version": "v2" } ]
2021-04-29
[ [ "Khan", "Muhammad Saif Ullah", "" ] ]
The dataset presented provides high-resolution images of real, filled out bank checks containing various complex backgrounds, and handwritten text and signatures in the respective fields, along with both pixel-level and patch-level segmentation masks for the signatures on the checks. The images of bank checks were obta...
2406.19016
Yaojie Zhang
Yaojie Zhang, Haowen Luo, Weijun Wang, Wei Feng
Robust Multi-Robot Global Localization with Unknown Initial Pose based on Neighbor Constraints
7 pages (6+1), accepted by ICRA 2024
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-robot global localization (MR-GL) with unknown initial positions in a large scale environment is a challenging task. The key point is the data association between different robots' viewpoints. It also makes traditional Appearance-based localization methods unusable. Recently, researchers have utilized the objec...
[ { "created": "Thu, 27 Jun 2024 09:02:02 GMT", "version": "v1" } ]
2024-06-28
[ [ "Zhang", "Yaojie", "" ], [ "Luo", "Haowen", "" ], [ "Wang", "Weijun", "" ], [ "Feng", "Wei", "" ] ]
Multi-robot global localization (MR-GL) with unknown initial positions in a large scale environment is a challenging task. The key point is the data association between different robots' viewpoints. It also makes traditional Appearance-based localization methods unusable. Recently, researchers have utilized the object'...
2106.09623
Anirudh Som
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Accepted in the poster session at the 14th International Conference on Educational Data Mining
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM). However, due to growing student population and limited teaching staff it is difficult for teachers to provide constructive feedback and instill collabor...
[ { "created": "Thu, 17 Jun 2021 16:00:08 GMT", "version": "v1" } ]
2021-06-18
[ [ "Som", "Anirudh", "" ], [ "Kim", "Sujeong", "" ], [ "Lopez-Prado", "Bladimir", "" ], [ "Dhamija", "Svati", "" ], [ "Alozie", "Nonye", "" ], [ "Tamrakar", "Amir", "" ] ]
Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM). However, due to growing student population and limited teaching staff it is difficult for teachers to provide constructive feedback and instill collaborat...
2209.11591
Vadim Indelman
Gilad Rotman, Vadim Indelman
involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
One of the most complex tasks of decision making and planning is to gather information. This task becomes even more complex when the state is high-dimensional and its belief cannot be expressed with a parametric distribution. Although the state is high-dimensional, in many problems only a small fraction of it might b...
[ { "created": "Fri, 23 Sep 2022 13:51:36 GMT", "version": "v1" } ]
2022-09-26
[ [ "Rotman", "Gilad", "" ], [ "Indelman", "Vadim", "" ] ]
One of the most complex tasks of decision making and planning is to gather information. This task becomes even more complex when the state is high-dimensional and its belief cannot be expressed with a parametric distribution. Although the state is high-dimensional, in many problems only a small fraction of it might be ...
2105.11683
Yuan Xie
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Accepted by IJCAI-21
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Convolutional neural networks (CNNs) are highly successful for super-resolution (SR) but often require sophisticated architectures with heavy memory cost and computational overhead, significantly restricts their practical deployments on resource-limited devices. In this paper, we proposed a novel contrastive self-dis...
[ { "created": "Tue, 25 May 2021 05:44:11 GMT", "version": "v1" } ]
2021-05-26
[ [ "Wang", "Yanbo", "" ], [ "Lin", "Shaohui", "" ], [ "Qu", "Yanyun", "" ], [ "Wu", "Haiyan", "" ], [ "Zhang", "Zhizhong", "" ], [ "Xie", "Yuan", "" ], [ "Yao", "Angela", "" ] ]
Convolutional neural networks (CNNs) are highly successful for super-resolution (SR) but often require sophisticated architectures with heavy memory cost and computational overhead, significantly restricts their practical deployments on resource-limited devices. In this paper, we proposed a novel contrastive self-disti...
2111.01528
Shengcai Liu
Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
null
null
null
null
cs.CL cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of adversarial textual attack has significantly grown over the last few years, where the commonly considered objective is to craft adversarial examples (AEs) that can successfully fool the target model. However, the imperceptibility of attacks, which is also essential for practical attackers, is often left ...
[ { "created": "Tue, 2 Nov 2021 12:10:58 GMT", "version": "v1" }, { "created": "Thu, 6 Jan 2022 06:43:51 GMT", "version": "v2" }, { "created": "Fri, 9 Dec 2022 03:15:35 GMT", "version": "v3" }, { "created": "Fri, 15 Dec 2023 03:08:59 GMT", "version": "v4" } ]
2023-12-18
[ [ "Liu", "Shengcai", "" ], [ "Lu", "Ning", "" ], [ "Hong", "Wenjing", "" ], [ "Qian", "Chao", "" ], [ "Tang", "Ke", "" ] ]
The field of adversarial textual attack has significantly grown over the last few years, where the commonly considered objective is to craft adversarial examples (AEs) that can successfully fool the target model. However, the imperceptibility of attacks, which is also essential for practical attackers, is often left ou...
1902.01439
Chenge Li
Chenge Li, Weixi Zhang, Yong Liu, Yao Wang
Very Long Term Field of View Prediction for 360-degree Video Streaming
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
360-degree videos have gained increasing popularity in recent years with the developments and advances in Virtual Reality (VR) and Augmented Reality (AR) technologies. In such applications, a user only watches a video scene within a field of view (FoV) centered in a certain direction. Predicting the future FoV in a l...
[ { "created": "Mon, 4 Feb 2019 19:43:40 GMT", "version": "v1" } ]
2019-02-06
[ [ "Li", "Chenge", "" ], [ "Zhang", "Weixi", "" ], [ "Liu", "Yong", "" ], [ "Wang", "Yao", "" ] ]
360-degree videos have gained increasing popularity in recent years with the developments and advances in Virtual Reality (VR) and Augmented Reality (AR) technologies. In such applications, a user only watches a video scene within a field of view (FoV) centered in a certain direction. Predicting the future FoV in a lon...
1712.08291
Vivek Kulkarni
Vivek Kulkarni and William Yang Wang
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
10 pages, 11 figures,4 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Slang is ubiquitous on the Internet. The emergence of new social contexts like micro-blogs, question-answering forums, and social networks has enabled slang and non-standard expressions to abound on the web. Despite this, slang has been traditionally viewed as a form of non-standard language -- a form of language tha...
[ { "created": "Fri, 22 Dec 2017 03:21:05 GMT", "version": "v1" } ]
2017-12-25
[ [ "Kulkarni", "Vivek", "" ], [ "Wang", "William Yang", "" ] ]
Slang is ubiquitous on the Internet. The emergence of new social contexts like micro-blogs, question-answering forums, and social networks has enabled slang and non-standard expressions to abound on the web. Despite this, slang has been traditionally viewed as a form of non-standard language -- a form of language that ...
1610.07304
Bernhard C. Geiger
Roy Timo, Shirin Saeedi Bidokhti, Mich\`ele Wigger, Bernhard C. Geiger
A Rate-Distortion Approach to Caching
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper takes a rate-distortion approach to understanding the information-theoretic laws governing cache-aided communications systems. Specifically, we characterise the optimal tradeoffs between the delivery rate, cache capacity and reconstruction distortions for a single-user problem and some special cases of a t...
[ { "created": "Mon, 24 Oct 2016 07:18:28 GMT", "version": "v1" } ]
2016-10-25
[ [ "Timo", "Roy", "" ], [ "Bidokhti", "Shirin Saeedi", "" ], [ "Wigger", "Michèle", "" ], [ "Geiger", "Bernhard C.", "" ] ]
This paper takes a rate-distortion approach to understanding the information-theoretic laws governing cache-aided communications systems. Specifically, we characterise the optimal tradeoffs between the delivery rate, cache capacity and reconstruction distortions for a single-user problem and some special cases of a two...
1405.7519
Deepali Virmani
Deepali Virmani, Vikrant Malhotra, Ridhi Tyagi
Aspect Based Sentiment Analysis to Extract Meticulous Opinion Value
IJCSIT, MAY 2014
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Opinion Mining and Sentiment Analysis is a process of identifying opinions in large unstructured/structured data and then analysing polarity of those opinions. Opinion mining and sentiment analysis have found vast application in analysing online ratings, analysing product based reviews, e-governance, and managing hos...
[ { "created": "Thu, 29 May 2014 11:05:29 GMT", "version": "v1" } ]
2014-05-30
[ [ "Virmani", "Deepali", "" ], [ "Malhotra", "Vikrant", "" ], [ "Tyagi", "Ridhi", "" ] ]
Opinion Mining and Sentiment Analysis is a process of identifying opinions in large unstructured/structured data and then analysing polarity of those opinions. Opinion mining and sentiment analysis have found vast application in analysing online ratings, analysing product based reviews, e-governance, and managing hosti...
2309.03308
Christoph Neuhauser
Christoph Neuhauser, Josef Stumpfegger, and R\"udiger Westermann
Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization
Copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serve...
IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 2, pp. 1608-1623, Feb. 2024
10.1109/TVCG.2023.3326855
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visualizing spatial correlations in 3D ensembles is challenging due to the vast amounts of information that need to be conveyed. Memory and time constraints make it unfeasible to pre-compute and store the correlations between all pairs of domain points. We propose the embedding of adaptive correlation sampling into c...
[ { "created": "Wed, 6 Sep 2023 18:39:30 GMT", "version": "v1" }, { "created": "Wed, 18 Oct 2023 18:34:28 GMT", "version": "v2" }, { "created": "Wed, 3 Jan 2024 20:54:18 GMT", "version": "v3" } ]
2024-01-05
[ [ "Neuhauser", "Christoph", "" ], [ "Stumpfegger", "Josef", "" ], [ "Westermann", "Rüdiger", "" ] ]
Visualizing spatial correlations in 3D ensembles is challenging due to the vast amounts of information that need to be conveyed. Memory and time constraints make it unfeasible to pre-compute and store the correlations between all pairs of domain points. We propose the embedding of adaptive correlation sampling into cho...
2103.15591
Vanlin Sathya
Vanlin Sathya, Muhammad Iqbal Rochman, and Monisha Ghosh
Hidden-nodes in coexisting LAA & Wi-Fi: a measurement study of real deployments
IEEE ICC 2021 Workshop on Spectrum Sharing Technology for Next-Generation Communications
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
LTE-Licensed Assisted Access (LAA) networks are beginning to be deployed widely in major metropolitan areas in the US in the unlicensed 5 GHz bands, which have existing dense deployments of Wi-Fi. This provides a real-world opportunity to study the problems due to hidden-node scenarios between LAA and Wi-Fi. The hidd...
[ { "created": "Mon, 29 Mar 2021 13:13:45 GMT", "version": "v1" }, { "created": "Wed, 31 Mar 2021 19:13:02 GMT", "version": "v2" } ]
2021-04-02
[ [ "Sathya", "Vanlin", "" ], [ "Rochman", "Muhammad Iqbal", "" ], [ "Ghosh", "Monisha", "" ] ]
LTE-Licensed Assisted Access (LAA) networks are beginning to be deployed widely in major metropolitan areas in the US in the unlicensed 5 GHz bands, which have existing dense deployments of Wi-Fi. This provides a real-world opportunity to study the problems due to hidden-node scenarios between LAA and Wi-Fi. The hidden...
1808.04161
Hector Garcia de Marina Dr.
Zhiyong Sun and Hector Garcia de Marina and Brian D. O. Anderson and Ming Cao
Quantization effects and convergence properties of rigid formation control systems with quantized distance measurements
29 pages, International Journal of Robust and Nonlinear Control 2018
null
10.1002/rnc.4288
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we discuss quantization effects in rigid formation control systems when target formations are described by inter-agent distances. Because of practical sensing and measurement constraints, we consider in this paper distance measurements in their quantized forms. We show that under gradient-based formati...
[ { "created": "Mon, 13 Aug 2018 12:02:15 GMT", "version": "v1" } ]
2018-08-14
[ [ "Sun", "Zhiyong", "" ], [ "de Marina", "Hector Garcia", "" ], [ "Anderson", "Brian D. O.", "" ], [ "Cao", "Ming", "" ] ]
In this paper, we discuss quantization effects in rigid formation control systems when target formations are described by inter-agent distances. Because of practical sensing and measurement constraints, we consider in this paper distance measurements in their quantized forms. We show that under gradient-based formation...
2303.16485
Tao Hu
Tao Hu, Xiaogang Xu, Ruihang Chu, Jiaya Jia
TriVol: Point Cloud Rendering via Triple Volumes
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Existing learning-based methods for point cloud rendering adopt various 3D representations and feature querying mechanisms to alleviate the sparsity problem of point clouds. However, artifacts still appear in rendered images, due to the challenges in extracting continuous and discriminative 3D features from point clo...
[ { "created": "Wed, 29 Mar 2023 06:34:12 GMT", "version": "v1" } ]
2023-03-30
[ [ "Hu", "Tao", "" ], [ "Xu", "Xiaogang", "" ], [ "Chu", "Ruihang", "" ], [ "Jia", "Jiaya", "" ] ]
Existing learning-based methods for point cloud rendering adopt various 3D representations and feature querying mechanisms to alleviate the sparsity problem of point clouds. However, artifacts still appear in rendered images, due to the challenges in extracting continuous and discriminative 3D features from point cloud...
1912.09084
Jiali Zeng
Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
AAAI 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simile recognition is to detect simile sentences and to extract simile components, i.e., tenors and vehicles. It involves two subtasks: {\it simile sentence classification} and {\it simile component extraction}. Recent work has shown that standard multitask learning is effective for Chinese simile recognition, but it...
[ { "created": "Thu, 19 Dec 2019 09:40:19 GMT", "version": "v1" } ]
2019-12-20
[ [ "Zeng", "Jiali", "" ], [ "Song", "Linfeng", "" ], [ "Su", "Jinsong", "" ], [ "Xie", "Jun", "" ], [ "Song", "Wei", "" ], [ "Luo", "Jiebo", "" ] ]
Simile recognition is to detect simile sentences and to extract simile components, i.e., tenors and vehicles. It involves two subtasks: {\it simile sentence classification} and {\it simile component extraction}. Recent work has shown that standard multitask learning is effective for Chinese simile recognition, but it i...
1907.09977
Fabian Eckermann
Fabian Eckermann, Moritz Kahlert, Christian Wietfeld
Performance Analysis of C-V2X Mode 4 Communication Introducing an Open-Source C-V2X Simulator
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous vehicles, on the ground and in the air, are the next big evolution in human mobility. While autonomous driving in highway scenarios is already possible using only the vehicles sensors, the complex scenarios of big cities with all its different traffic participants is still a vision. Cellular Vehicle-to-Eve...
[ { "created": "Tue, 23 Jul 2019 16:09:34 GMT", "version": "v1" } ]
2019-07-24
[ [ "Eckermann", "Fabian", "" ], [ "Kahlert", "Moritz", "" ], [ "Wietfeld", "Christian", "" ] ]
Autonomous vehicles, on the ground and in the air, are the next big evolution in human mobility. While autonomous driving in highway scenarios is already possible using only the vehicles sensors, the complex scenarios of big cities with all its different traffic participants is still a vision. Cellular Vehicle-to-Every...
1807.11219
Katsuki Chousa
Katsuki Chousa, Katsuhito Sudoh, Satoshi Nakamura
Training Neural Machine Translation using Word Embedding-based Loss
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In neural machine translation (NMT), the computational cost at the output layer increases with the size of the target-side vocabulary. Using a limited-size vocabulary instead may cause a significant decrease in translation quality. This trade-off is derived from a softmax-based loss function that handles in-dictionar...
[ { "created": "Mon, 30 Jul 2018 08:11:52 GMT", "version": "v1" } ]
2018-07-31
[ [ "Chousa", "Katsuki", "" ], [ "Sudoh", "Katsuhito", "" ], [ "Nakamura", "Satoshi", "" ] ]
In neural machine translation (NMT), the computational cost at the output layer increases with the size of the target-side vocabulary. Using a limited-size vocabulary instead may cause a significant decrease in translation quality. This trade-off is derived from a softmax-based loss function that handles in-dictionary ...
2403.09880
Riccardo Marchesin
Dario Maddaloni, Riccardo Marchesin, Roberto Zunino
How To Save Fees in Bitcoin Smart Contracts: a Simple Optimistic Off-chain Protocol
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
We consider the execution of smart contracts on Bitcoin. There, every contract step corresponds to appending to the blockchain a new transaction that spends the output representing the old contract state, creating a new one for the updated state. This standard procedure requires the contract participants to pay trans...
[ { "created": "Thu, 14 Mar 2024 21:20:36 GMT", "version": "v1" }, { "created": "Mon, 29 Apr 2024 11:47:27 GMT", "version": "v2" } ]
2024-04-30
[ [ "Maddaloni", "Dario", "" ], [ "Marchesin", "Riccardo", "" ], [ "Zunino", "Roberto", "" ] ]
We consider the execution of smart contracts on Bitcoin. There, every contract step corresponds to appending to the blockchain a new transaction that spends the output representing the old contract state, creating a new one for the updated state. This standard procedure requires the contract participants to pay transac...
2405.09946
Hugo Herbelin
Hugo Herbelin (PICUBE, IRIF)
On the logical structure of some maximality and well-foundedness principles equivalent to choice principles
null
null
null
null
cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the logical structure of Teichm{\"u}ller-Tukey lemma, a maximality principle equivalent to the axiom of choice and show that it corresponds to the generalisation to arbitrary cardinals of update induction, a well-foundedness principle from constructive mathematics classically equivalent to the axiom of depen...
[ { "created": "Thu, 16 May 2024 09:51:41 GMT", "version": "v1" } ]
2024-05-17
[ [ "Herbelin", "Hugo", "", "PICUBE, IRIF" ] ]
We study the logical structure of Teichm{\"u}ller-Tukey lemma, a maximality principle equivalent to the axiom of choice and show that it corresponds to the generalisation to arbitrary cardinals of update induction, a well-foundedness principle from constructive mathematics classically equivalent to the axiom of depende...
2307.07167
Olukorede Fakorede
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
Vulnerability-Aware Instance Reweighting For Adversarial Training
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Adversarial Training (AT) has been found to substantially improve the robustness of deep learning classifiers against adversarial attacks. AT involves obtaining robustness by including adversarial examples in training a classifier. Most variants of AT algorithms treat every training example equally. However, recent w...
[ { "created": "Fri, 14 Jul 2023 05:31:32 GMT", "version": "v1" } ]
2023-07-17
[ [ "Fakorede", "Olukorede", "" ], [ "Nirala", "Ashutosh Kumar", "" ], [ "Atsague", "Modeste", "" ], [ "Tian", "Jin", "" ] ]
Adversarial Training (AT) has been found to substantially improve the robustness of deep learning classifiers against adversarial attacks. AT involves obtaining robustness by including adversarial examples in training a classifier. Most variants of AT algorithms treat every training example equally. However, recent wor...
2102.00697
Milad Sefidgaran
Milad Sefidgaran and Aslan Tchamkerten
Zero-Error Sum Modulo Two with a Common Observation
Accepted for presentation at IEEE ITW 2020
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This paper investigates the classical modulo two sum problem in source coding, but with a common observation: a transmitter observes $(X,Z)$, the other transmitter observes $(Y,Z)$, and the receiver wants to compute $X \oplus Y$ without error. Through a coupling argument, this paper establishes a new lower bound on t...
[ { "created": "Mon, 1 Feb 2021 08:31:00 GMT", "version": "v1" }, { "created": "Mon, 22 Mar 2021 12:53:07 GMT", "version": "v2" } ]
2021-03-23
[ [ "Sefidgaran", "Milad", "" ], [ "Tchamkerten", "Aslan", "" ] ]
This paper investigates the classical modulo two sum problem in source coding, but with a common observation: a transmitter observes $(X,Z)$, the other transmitter observes $(Y,Z)$, and the receiver wants to compute $X \oplus Y$ without error. Through a coupling argument, this paper establishes a new lower bound on the...
1904.01575
Cheng-I Lai
Cheng-I Lai
Contrastive Predictive Coding Based Feature for Automatic Speaker Verification
null
null
null
null
cs.CL cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This thesis describes our ongoing work on Contrastive Predictive Coding (CPC) features for speaker verification. CPC is a recently proposed representation learning framework based on predictive coding and noise contrastive estimation. We focus on incorporating CPC features into the standard automatic speaker verifica...
[ { "created": "Mon, 1 Apr 2019 23:54:08 GMT", "version": "v1" } ]
2019-04-04
[ [ "Lai", "Cheng-I", "" ] ]
This thesis describes our ongoing work on Contrastive Predictive Coding (CPC) features for speaker verification. CPC is a recently proposed representation learning framework based on predictive coding and noise contrastive estimation. We focus on incorporating CPC features into the standard automatic speaker verificati...
2202.03347
Yonghyun Jeong Mr
Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations
null
null
null
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Various deepfake detectors have been proposed, but challenges still exist to detect images of unknown categories or GAN models outside of the training settings. Such issues arise from the overfitting issue, which we discover from our own analysis and the previous studies to originate from the frequency-level artifact...
[ { "created": "Mon, 7 Feb 2022 16:45:11 GMT", "version": "v1" } ]
2022-02-08
[ [ "Jeong", "Yonghyun", "" ], [ "Kim", "Doyeon", "" ], [ "Ro", "Youngmin", "" ], [ "Choi", "Jongwon", "" ] ]
Various deepfake detectors have been proposed, but challenges still exist to detect images of unknown categories or GAN models outside of the training settings. Such issues arise from the overfitting issue, which we discover from our own analysis and the previous studies to originate from the frequency-level artifacts ...
1610.00044
Oussama Habachi
Oussama Habachi, Yezekael Hayel and Rachid El-Azouzi
Optimal Energy-Delay Tradeoff for Opportunistic Spectrum Access in Cognitive Radio Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cognitive radio (CR) has been considered as a promising technology to enhance spectrum efficiency via opportunistic transmission at link level. Basic CR features allow SUs to transmit only when the licensed primary channel is not occupied by PUs. However, waiting for idle time slot may include large packet delay and ...
[ { "created": "Fri, 30 Sep 2016 22:06:59 GMT", "version": "v1" } ]
2016-10-04
[ [ "Habachi", "Oussama", "" ], [ "Hayel", "Yezekael", "" ], [ "El-Azouzi", "Rachid", "" ] ]
Cognitive radio (CR) has been considered as a promising technology to enhance spectrum efficiency via opportunistic transmission at link level. Basic CR features allow SUs to transmit only when the licensed primary channel is not occupied by PUs. However, waiting for idle time slot may include large packet delay and hi...
2310.14540
Yutaro Yamada
Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim
Evaluating Spatial Understanding of Large Language Models
Accepted to TMLR 2024. Our code and data are available at https://github.com/runopti/SpatialEvalLLM, https://huggingface.co/datasets/yyamada/SpatialEvalLLM
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) show remarkable capabilities across a variety of tasks. Despite the models only seeing text in training, several recent studies suggest that LLM representations implicitly capture aspects of the underlying grounded concepts. Here, we explore LLM representations of a particularly salient k...
[ { "created": "Mon, 23 Oct 2023 03:44:40 GMT", "version": "v1" }, { "created": "Tue, 5 Mar 2024 05:02:54 GMT", "version": "v2" }, { "created": "Sat, 13 Apr 2024 01:59:06 GMT", "version": "v3" } ]
2024-04-16
[ [ "Yamada", "Yutaro", "" ], [ "Bao", "Yihan", "" ], [ "Lampinen", "Andrew K.", "" ], [ "Kasai", "Jungo", "" ], [ "Yildirim", "Ilker", "" ] ]
Large language models (LLMs) show remarkable capabilities across a variety of tasks. Despite the models only seeing text in training, several recent studies suggest that LLM representations implicitly capture aspects of the underlying grounded concepts. Here, we explore LLM representations of a particularly salient kin...
1602.03350
Francesco Renna
Francesco Renna, Joseph Doyle, Vasileios Giotsas, Yiannis Andreopoulos
Query Processing For The Internet-of-Things: Coupling Of Device Energy Consumption And Cloud Infrastructure Billing
To be presented at the 1st IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI 2016)
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio/visual recognition and retrieval applications have recently garnered significant attention within Internet-of-Things (IoT) oriented services, given that video cameras and audio processing chipsets are now ubiquitous even in low-end embedded systems. In the most typical scenario for such services, each device ex...
[ { "created": "Wed, 10 Feb 2016 12:32:27 GMT", "version": "v1" } ]
2016-02-11
[ [ "Renna", "Francesco", "" ], [ "Doyle", "Joseph", "" ], [ "Giotsas", "Vasileios", "" ], [ "Andreopoulos", "Yiannis", "" ] ]
Audio/visual recognition and retrieval applications have recently garnered significant attention within Internet-of-Things (IoT) oriented services, given that video cameras and audio processing chipsets are now ubiquitous even in low-end embedded systems. In the most typical scenario for such services, each device extr...
2009.09393
Densen Puthussery
Hrishikesh P.S., Densen Puthussery, Melvin Kuriakose, Jiji C.V
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images
Presented at RLQ-TOD workshop at ECCV 2020, 14 pages
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Under-display camera (UDC) is a novel technology that can make digital imaging experience in handheld devices seamless by providing large screen-to-body ratio. UDC images are severely degraded owing to their positioning under a display screen. This work addresses the restoration of images degraded as a result of UDC ...
[ { "created": "Sun, 20 Sep 2020 09:26:10 GMT", "version": "v1" } ]
2020-09-22
[ [ "S.", "Hrishikesh P.", "" ], [ "Puthussery", "Densen", "" ], [ "Kuriakose", "Melvin", "" ], [ "C.", "Jiji", "V" ] ]
Under-display camera (UDC) is a novel technology that can make digital imaging experience in handheld devices seamless by providing large screen-to-body ratio. UDC images are severely degraded owing to their positioning under a display screen. This work addresses the restoration of images degraded as a result of UDC im...
2312.13032
Weigang Lu
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Accepted by AAAI-24
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have become mainstream methods for solving the semi-supervised node classification problem. However, due to the uneven location distribution of labeled nodes in the graph, labeled nodes are only accessible to a small portion of unlabeled nodes, leading to the \emph{under-reaching} issue. ...
[ { "created": "Wed, 20 Dec 2023 13:56:27 GMT", "version": "v1" }, { "created": "Thu, 21 Dec 2023 03:02:35 GMT", "version": "v2" } ]
2023-12-22
[ [ "Lu", "Weigang", "" ], [ "Guan", "Ziyu", "" ], [ "Zhao", "Wei", "" ], [ "Yang", "Yaming", "" ], [ "Jin", "Long", "" ] ]
Graph Neural Networks (GNNs) have become mainstream methods for solving the semi-supervised node classification problem. However, due to the uneven location distribution of labeled nodes in the graph, labeled nodes are only accessible to a small portion of unlabeled nodes, leading to the \emph{under-reaching} issue. In...
2307.04094
Lukasz Korycki
Lukasz Korycki, Bartosz Krawczyk
Class-Incremental Mixture of Gaussians for Deep Continual Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Continual learning models for stationary data focus on learning and retaining concepts coming to them in a sequential manner. In the most generic class-incremental environment, we have to be ready to deal with classes coming one by one, without any higher-level grouping. This requirement invalidates many previously p...
[ { "created": "Sun, 9 Jul 2023 04:33:19 GMT", "version": "v1" } ]
2023-07-11
[ [ "Korycki", "Lukasz", "" ], [ "Krawczyk", "Bartosz", "" ] ]
Continual learning models for stationary data focus on learning and retaining concepts coming to them in a sequential manner. In the most generic class-incremental environment, we have to be ready to deal with classes coming one by one, without any higher-level grouping. This requirement invalidates many previously pro...
2003.10472
Alexander Beasley
Alexander E. Beasley
A distributed memory, local configuration technique for re-configurable logic designs
13 files, 19 images
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use and location of memory in integrated circuits plays a key factor in their performance. Memory requires large physical area, access times limit overall system performance and connectivity can result in large fan-out. Modern FPGA systems and ASICs contain an area of memory used to set the operation of the devic...
[ { "created": "Mon, 23 Mar 2020 18:05:22 GMT", "version": "v1" } ]
2020-03-25
[ [ "Beasley", "Alexander E.", "" ] ]
The use and location of memory in integrated circuits plays a key factor in their performance. Memory requires large physical area, access times limit overall system performance and connectivity can result in large fan-out. Modern FPGA systems and ASICs contain an area of memory used to set the operation of the device ...
2405.14133
Kai Wu
Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu
Automated Loss function Search for Class-imbalanced Node Classification
ICML 2024
null
null
null
cs.LG cs.AI cs.SC
http://creativecommons.org/licenses/by/4.0/
Class-imbalanced node classification tasks are prevalent in real-world scenarios. Due to the uneven distribution of nodes across different classes, learning high-quality node representations remains a challenging endeavor. The engineering of loss functions has shown promising potential in addressing this issue. It in...
[ { "created": "Thu, 23 May 2024 03:12:49 GMT", "version": "v1" } ]
2024-05-24
[ [ "Guo", "Xinyu", "" ], [ "Wu", "Kai", "" ], [ "Zhang", "Xiaoyu", "" ], [ "Liu", "Jing", "" ] ]
Class-imbalanced node classification tasks are prevalent in real-world scenarios. Due to the uneven distribution of nodes across different classes, learning high-quality node representations remains a challenging endeavor. The engineering of loss functions has shown promising potential in addressing this issue. It invo...
1210.7035
Fuyuki Ishikawa
Inna Pereverzeva, Elena Troubitsyna and Linas Laibinis
Development of Fault Tolerant MAS with Cooperative Error Recovery by Refinement in Event-B
In Proceedings of DS-Event-B 2012: Workshop on the experience of and advances in developing dependable systems in Event-B, in conjunction with ICFEM 2012 - Kyoto, Japan, November 13, 2012
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Designing fault tolerance mechanisms for multi-agent systems is a notoriously difficult task. In this paper we present an approach to formal development of a fault tolerant multi-agent system by refinement in Event-B. We demonstrate how to formally specify cooperative error recovery and dynamic reconfiguration in Eve...
[ { "created": "Fri, 26 Oct 2012 01:11:59 GMT", "version": "v1" } ]
2012-10-29
[ [ "Pereverzeva", "Inna", "" ], [ "Troubitsyna", "Elena", "" ], [ "Laibinis", "Linas", "" ] ]
Designing fault tolerance mechanisms for multi-agent systems is a notoriously difficult task. In this paper we present an approach to formal development of a fault tolerant multi-agent system by refinement in Event-B. We demonstrate how to formally specify cooperative error recovery and dynamic reconfiguration in Event...
1502.03561
Abba Ari Ado Adamou
Ado Adamou Abba Ari (1 and 4), Abdelhak Gueroui (1), Nabila Labraoui (2) and Blaise Omer Yenke (3) ((1) PRiSM, University of Versailles St-Quentin-en-Yvelines France, (2) STIC University of Tlemcen Algeria, (3) LASE University of Ngaoundere Cameroon, (4) University of Maroua Cameroon)
Concepts and evolution of research in the field of wireless sensor networks
null
International Journal of Computer Networks & Communications. 7.1 (2015) 81-98
10.5121/ijcnc.2015.7106
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of Wireless Sensor Networks (WSNs) is experiencing a resurgence of interest and a continuous evolution in the scientific and industrial community. The use of this particular type of ad hoc network is becoming increasingly important in many contexts, regardless of geographical position and so, according to a...
[ { "created": "Thu, 12 Feb 2015 08:27:03 GMT", "version": "v1" }, { "created": "Wed, 13 May 2015 16:29:55 GMT", "version": "v2" } ]
2015-05-14
[ [ "Ari", "Ado Adamou Abba", "", "1 and 4" ], [ "Gueroui", "Abdelhak", "" ], [ "Labraoui", "Nabila", "" ], [ "Yenke", "Blaise Omer", "" ] ]
The field of Wireless Sensor Networks (WSNs) is experiencing a resurgence of interest and a continuous evolution in the scientific and industrial community. The use of this particular type of ad hoc network is becoming increasingly important in many contexts, regardless of geographical position and so, according to a s...
1903.03680
Apostolos Syropoulos
Apostolos Syropoulos
Fuzzy Bigraphs: An Exercise in Fuzzy Communicating Agents
11 pages, 3 figures
null
10.1007/978-3-030-38565-1_13
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bigraphs and their algebra is a model of concurrency. Fuzzy bigraphs are a generalization of birgraphs intended to be a model of concurrency that incorporates vagueness. More specifically, this model assumes that agents are similar, communication is not perfect, and, in general, everything is or happens to some degre...
[ { "created": "Tue, 5 Mar 2019 14:28:59 GMT", "version": "v1" } ]
2020-02-18
[ [ "Syropoulos", "Apostolos", "" ] ]
Bigraphs and their algebra is a model of concurrency. Fuzzy bigraphs are a generalization of birgraphs intended to be a model of concurrency that incorporates vagueness. More specifically, this model assumes that agents are similar, communication is not perfect, and, in general, everything is or happens to some degree.
2201.01008
Kyungmoon Lee
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
Learning to Generate Novel Classes for Deep Metric Learning
Accepted to BMVC 2021
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep metric learning aims to learn an embedding space where the distance between data reflects their class equivalence, even when their classes are unseen during training. However, the limited number of classes available in training precludes generalization of the learned embedding space. Motivated by this, we introd...
[ { "created": "Tue, 4 Jan 2022 06:55:19 GMT", "version": "v1" } ]
2022-01-05
[ [ "Lee", "Kyungmoon", "" ], [ "Kim", "Sungyeon", "" ], [ "Hong", "Seunghoon", "" ], [ "Kwak", "Suha", "" ] ]
Deep metric learning aims to learn an embedding space where the distance between data reflects their class equivalence, even when their classes are unseen during training. However, the limited number of classes available in training precludes generalization of the learned embedding space. Motivated by this, we introduc...
cs/0508129
Esra Erdem
Esra Erdem, Vladimir Lifschitz, and Don Ringe
Temporal Phylogenetic Networks and Logic Programming
null
null
null
null
cs.LO cs.AI cs.PL
null
The concept of a temporal phylogenetic network is a mathematical model of evolution of a family of natural languages. It takes into account the fact that languages can trade their characteristics with each other when linguistic communities are in contact, and also that a contact is only possible when the languages ar...
[ { "created": "Tue, 30 Aug 2005 13:04:05 GMT", "version": "v1" } ]
2007-05-23
[ [ "Erdem", "Esra", "" ], [ "Lifschitz", "Vladimir", "" ], [ "Ringe", "Don", "" ] ]
The concept of a temporal phylogenetic network is a mathematical model of evolution of a family of natural languages. It takes into account the fact that languages can trade their characteristics with each other when linguistic communities are in contact, and also that a contact is only possible when the languages are ...
1901.06694
Jaya Prakash Champati Dr
Jaya Prakash Champati and Mohammad H. Mamduhi and Karl H. Johansson and James Gross
Performance Characterization Using AoI in a Single-loop Networked Control System
7 pages, IEEE Infocom AoI Workshop, 2019
null
null
null
cs.SY cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The joint design of control and communication scheduling in a Networked Control System (NCS) is known to be a hard problem. Several research works have successfully designed optimal sampling and/or control strategies under simplified communication models, where transmission delays/times are negligible or fixed. Howev...
[ { "created": "Sun, 20 Jan 2019 16:16:27 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2019 15:39:01 GMT", "version": "v2" }, { "created": "Wed, 3 Jul 2019 16:26:23 GMT", "version": "v3" }, { "created": "Fri, 5 Jul 2019 13:43:26 GMT", "version": "v4" } ]
2019-07-08
[ [ "Champati", "Jaya Prakash", "" ], [ "Mamduhi", "Mohammad H.", "" ], [ "Johansson", "Karl H.", "" ], [ "Gross", "James", "" ] ]
The joint design of control and communication scheduling in a Networked Control System (NCS) is known to be a hard problem. Several research works have successfully designed optimal sampling and/or control strategies under simplified communication models, where transmission delays/times are negligible or fixed. However...
2308.03269
Haodi Ma
Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang
Simple Rule Injection for ComplEx Embeddings
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid rule grounding, and injecting a diverse set of rules has still not been thoroughly explored. In this work, we propose InjEx, a mechanism t...
[ { "created": "Mon, 7 Aug 2023 03:19:59 GMT", "version": "v1" } ]
2023-08-08
[ [ "Ma", "Haodi", "" ], [ "Colas", "Anthony", "" ], [ "Wang", "Yuejie", "" ], [ "Sadeghian", "Ali", "" ], [ "Wang", "Daisy Zhe", "" ] ]
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid rule grounding, and injecting a diverse set of rules has still not been thoroughly explored. In this work, we propose InjEx, a mechanism to ...
1001.2421
Mari Kobayashi
Mari Kobayashi, Sheng Yang, Merouane Debbah, Jean-Claude Belfiore
Outage Efficient Strategies for Network MIMO with Partial CSIT
26 pages, 8 figures, submitted to IEEE Trans. on Signal Processing
null
10.1109/ISIT.2009.5206071
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a multi-cell MIMO downlink (network MIMO) where $B$ base-stations (BS) with $M$ antennas connected to a central station (CS) serve $K$ single-antenna user terminals (UT). Although many works have shown the potential benefits of network MIMO, the conclusion critically depends on the underlying assumptions ...
[ { "created": "Thu, 14 Jan 2010 11:10:59 GMT", "version": "v1" } ]
2016-11-17
[ [ "Kobayashi", "Mari", "" ], [ "Yang", "Sheng", "" ], [ "Debbah", "Merouane", "" ], [ "Belfiore", "Jean-Claude", "" ] ]
We consider a multi-cell MIMO downlink (network MIMO) where $B$ base-stations (BS) with $M$ antennas connected to a central station (CS) serve $K$ single-antenna user terminals (UT). Although many works have shown the potential benefits of network MIMO, the conclusion critically depends on the underlying assumptions su...
2209.12499
Hyun Jae Lee
HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
null
null
null
null
cs.CV cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Despite the evolution of Convolutional Neural Networks (CNNs), their performance is surprisingly dependent on the choice of hyperparameters. However, it remains challenging to efficiently explore large hyperparameter search space due to the long training times of modern CNNs. Multi-fidelity optimization enables the e...
[ { "created": "Mon, 26 Sep 2022 08:16:31 GMT", "version": "v1" } ]
2022-09-27
[ [ "Lee", "HyunJae", "" ], [ "Lee", "Gihyeon", "" ], [ "Kim", "Junhwan", "" ], [ "Cho", "Sungjun", "" ], [ "Kim", "Dohyun", "" ], [ "Yoo", "Donggeun", "" ] ]
Despite the evolution of Convolutional Neural Networks (CNNs), their performance is surprisingly dependent on the choice of hyperparameters. However, it remains challenging to efficiently explore large hyperparameter search space due to the long training times of modern CNNs. Multi-fidelity optimization enables the exp...
2001.05197
Xin Jin
Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object re-identification (re-id) aims to identify a specific object across times or camera views, with the person re-id and vehicle re-id as the most widely studied applications. Re-id is challenging because of the variations in viewpoints, (human) poses, and occlusions. Multi-shots of the same object can cover diver...
[ { "created": "Wed, 15 Jan 2020 09:39:05 GMT", "version": "v1" }, { "created": "Tue, 21 Jan 2020 17:21:07 GMT", "version": "v2" } ]
2020-01-22
[ [ "Jin", "Xin", "" ], [ "Lan", "Cuiling", "" ], [ "Zeng", "Wenjun", "" ], [ "Chen", "Zhibo", "" ] ]
Object re-identification (re-id) aims to identify a specific object across times or camera views, with the person re-id and vehicle re-id as the most widely studied applications. Re-id is challenging because of the variations in viewpoints, (human) poses, and occlusions. Multi-shots of the same object can cover diverse...
1101.1608
Jasni Mohamad Zain
Jasni Mohamad Zain, Mengkar Tey, Yingsoon Goh
Does Aesthetics of Web Page Interface Matters to Mandarin Learning?
9 pages, 1 figure, 9 tables
International Journal of Computer Science and Network Security, Vol. 7 No. 8 pp. 43-51 August 2007, ISSN 1738-7906
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aesthetics of web page refers to how attractive a web page is in which it catches the attention of the user to read through the information. In addition, the visual appearance is important in getting attentions of the users. Moreover, it was found that those screens, which were perceived as aesthetically pleasing, we...
[ { "created": "Sat, 8 Jan 2011 16:58:47 GMT", "version": "v1" } ]
2011-01-11
[ [ "Zain", "Jasni Mohamad", "" ], [ "Tey", "Mengkar", "" ], [ "Goh", "Yingsoon", "" ] ]
Aesthetics of web page refers to how attractive a web page is in which it catches the attention of the user to read through the information. In addition, the visual appearance is important in getting attentions of the users. Moreover, it was found that those screens, which were perceived as aesthetically pleasing, were...
1008.3725
Grenville Croll
Grenville J. Croll, David F. Baker, Ola Lawal
Evaluating Financial Model Performance: An Empirical Analysis of Some North Sea Investments
11 Pages, 1 Table, 5 Figures
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2010 87-98 ISBN 978-1-905404-50-6
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fifty North Sea oil & gas investment transactions were analysed using traditional spreadsheet based financial modelling methods. The purpose of the analysis was to determine if there was a statistically significant relationship between the price paid for an oil & gas asset and the actual or expected financial return ...
[ { "created": "Sun, 22 Aug 2010 21:26:01 GMT", "version": "v1" } ]
2010-08-24
[ [ "Croll", "Grenville J.", "" ], [ "Baker", "David F.", "" ], [ "Lawal", "Ola", "" ] ]
Fifty North Sea oil & gas investment transactions were analysed using traditional spreadsheet based financial modelling methods. The purpose of the analysis was to determine if there was a statistically significant relationship between the price paid for an oil & gas asset and the actual or expected financial return ov...
1812.07640
Alexander Veretennikov Borisovich
Alexander B. Veretennikov
Proximity Full-Text Search by Means of Additional Indexes with Multi-component Keys: In Pursuit of Optimal Performance
Revised paper of "Veretennikov A.B. Proximity full-text search with a response time guarantee by means of additional indexes with multi-component keys", Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), Moscow, Russia, October 9-12,...
Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2018. Communications in Computer and Information Science, vol 1003. Springer, Cham
10.1007/978-3-030-23584-0_7
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Full-text search engines are important tools for information retrieval. In a proximity full-text search, a document is relevant if it contains query terms near each other, especially if the query terms are frequently occurring words. For each word in a text, we use additional indexes to store information about nearby...
[ { "created": "Tue, 18 Dec 2018 20:57:15 GMT", "version": "v1" }, { "created": "Tue, 9 Jul 2019 18:33:56 GMT", "version": "v2" } ]
2019-07-11
[ [ "Veretennikov", "Alexander B.", "" ] ]
Full-text search engines are important tools for information retrieval. In a proximity full-text search, a document is relevant if it contains query terms near each other, especially if the query terms are frequently occurring words. For each word in a text, we use additional indexes to store information about nearby w...
2311.12223
Shisheng Hu
Shisheng Hu, Jie Gao, Xinyu Huang, Mushu Li, Kaige Qu, Conghao Zhou, and Xuemin (Sherman) Shen
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
submitted to IEEE ICC 2024
null
null
null
cs.NI cs.AI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy and efficient resource utilization. The considered scenario involves an ISAC device with a lightweight deep neural network (DNN) and a mobil...
[ { "created": "Mon, 20 Nov 2023 22:27:14 GMT", "version": "v1" } ]
2023-11-22
[ [ "Hu", "Shisheng", "", "Sherman" ], [ "Gao", "Jie", "", "Sherman" ], [ "Huang", "Xinyu", "", "Sherman" ], [ "Li", "Mushu", "", "Sherman" ], [ "Qu", "Kaige", "", "Sherman" ], [ "Zhou", "Conghao", "", ...
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy and efficient resource utilization. The considered scenario involves an ISAC device with a lightweight deep neural network (DNN) and a mobile ...