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2110.07774
Amelia Regan
Hesam Sahfienya and Amelia C. Regan
4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport(ATL)
17 pages, 10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The core of any flight schedule is the trajectories. In particular, 4D trajectories are the most crucial component for flight attribute prediction. In particular, 4D trajectories are the most crucial component for flight attribute prediction. Each trajectory contains spatial and temporal features that are associated ...
[ { "created": "Thu, 14 Oct 2021 23:48:44 GMT", "version": "v1" } ]
2021-10-18
[ [ "Sahfienya", "Hesam", "" ], [ "Regan", "Amelia C.", "" ] ]
The core of any flight schedule is the trajectories. In particular, 4D trajectories are the most crucial component for flight attribute prediction. In particular, 4D trajectories are the most crucial component for flight attribute prediction. Each trajectory contains spatial and temporal features that are associated wi...
1610.01732
Lei Tai
Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI
ICAR 2017 - 18th International Conference on Advanced Robotics, Best Student Paper Award, 6 figures
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic segmentation of functional magnetic resonance imaging (fMRI) makes great sense for pathology diagnosis and decision system of medical robots. The multi-channel fMRI provides more information of the pathological features. But the increased amount of data causes complexity in feature detections. This paper pro...
[ { "created": "Thu, 6 Oct 2016 05:08:15 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2017 15:44:09 GMT", "version": "v2" }, { "created": "Mon, 12 Jun 2017 12:50:09 GMT", "version": "v3" }, { "created": "Tue, 11 Jul 2017 15:52:08 GMT", "version": "v4" } ]
2017-07-12
[ [ "Tai", "Lei", "" ], [ "Ye", "Haoyang", "" ], [ "Ye", "Qiong", "" ], [ "Liu", "Ming", "" ] ]
Semantic segmentation of functional magnetic resonance imaging (fMRI) makes great sense for pathology diagnosis and decision system of medical robots. The multi-channel fMRI provides more information of the pathological features. But the increased amount of data causes complexity in feature detections. This paper propo...
1908.00205
Emma Xue
Shan Xue, Jie Lu, Guangquan Zhang
Cross-domain Network Representations
null
Pattern Recognition 94 (2019): 135-148
10.1016/j.patcog.2019.05.009
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The purpose of network representation is to learn a set of latent features by obtaining community information from network structures to provide knowledge for machine learning tasks. Recent research has driven significant progress in network representation by employing random walks as the network sampling strategy. N...
[ { "created": "Thu, 1 Aug 2019 04:32:15 GMT", "version": "v1" } ]
2019-08-02
[ [ "Xue", "Shan", "" ], [ "Lu", "Jie", "" ], [ "Zhang", "Guangquan", "" ] ]
The purpose of network representation is to learn a set of latent features by obtaining community information from network structures to provide knowledge for machine learning tasks. Recent research has driven significant progress in network representation by employing random walks as the network sampling strategy. Nev...
2110.11405
Gautam Singh
Gautam Singh, Fei Deng and Sungjin Ahn
Illiterate DALL-E Learns to Compose
Published as a conference paper at ICLR 2022
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although DALL-E has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositionality is provided by the text. In contrast, object-centric representation models like the Slot Attention model learn composable representat...
[ { "created": "Sun, 17 Oct 2021 16:40:47 GMT", "version": "v1" }, { "created": "Wed, 27 Oct 2021 18:46:24 GMT", "version": "v2" }, { "created": "Mon, 14 Mar 2022 21:10:39 GMT", "version": "v3" } ]
2022-03-16
[ [ "Singh", "Gautam", "" ], [ "Deng", "Fei", "" ], [ "Ahn", "Sungjin", "" ] ]
Although DALL-E has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositionality is provided by the text. In contrast, object-centric representation models like the Slot Attention model learn composable representatio...
1805.11572
Sebastian Lunz
Sebastian Lunz, Ozan \"Oktem, Carola-Bibiane Sch\"onlieb
Adversarial Regularizers in Inverse Problems
published at NeurIPS 2018
null
null
null
cs.CV cs.LG math.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inverse Problems in medical imaging and computer vision are traditionally solved using purely model-based methods. Among those variational regularization models are one of the most popular approaches. We propose a new framework for applying data-driven approaches to inverse problems, using a neural network as a regul...
[ { "created": "Tue, 29 May 2018 16:40:37 GMT", "version": "v1" }, { "created": "Fri, 11 Jan 2019 17:24:06 GMT", "version": "v2" } ]
2019-01-14
[ [ "Lunz", "Sebastian", "" ], [ "Öktem", "Ozan", "" ], [ "Schönlieb", "Carola-Bibiane", "" ] ]
Inverse Problems in medical imaging and computer vision are traditionally solved using purely model-based methods. Among those variational regularization models are one of the most popular approaches. We propose a new framework for applying data-driven approaches to inverse problems, using a neural network as a regular...
1603.06200
Florian Geigl
Florian Geigl, Kristina Lerman, Simon Walk, Markus Strohmaier, Denis Helic
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web
This paper is currently under review at ACM Hypertext 2016
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific information. In general, website administrators can use the following two strategies to influence their visitors' navigation behavior. First, t...
[ { "created": "Sun, 20 Mar 2016 11:07:48 GMT", "version": "v1" } ]
2016-03-22
[ [ "Geigl", "Florian", "" ], [ "Lerman", "Kristina", "" ], [ "Walk", "Simon", "" ], [ "Strohmaier", "Markus", "" ], [ "Helic", "Denis", "" ] ]
Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific information. In general, website administrators can use the following two strategies to influence their visitors' navigation behavior. First, the...
1405.6058
Francesco Gadaleta
Francesco Gadaleta, Raoul Strackx, Nick Nikiforakis, Frank Piessens, Wouter Joosen
On the effectiveness of virtualization-based security
12 pages, 07-10 May 2012, Max Planck Institute IT Security, Freiburg (Germany)
null
null
null
cs.CR
http://creativecommons.org/licenses/by/3.0/
Protecting commodity operating systems and applications against malware and targeted attacks has proven to be difficult. In recent years, virtualization has received attention from security researchers who utilize it to harden existing systems and provide strong security guarantees. This has lead to interesting use c...
[ { "created": "Thu, 22 May 2014 07:56:53 GMT", "version": "v1" } ]
2014-05-26
[ [ "Gadaleta", "Francesco", "" ], [ "Strackx", "Raoul", "" ], [ "Nikiforakis", "Nick", "" ], [ "Piessens", "Frank", "" ], [ "Joosen", "Wouter", "" ] ]
Protecting commodity operating systems and applications against malware and targeted attacks has proven to be difficult. In recent years, virtualization has received attention from security researchers who utilize it to harden existing systems and provide strong security guarantees. This has lead to interesting use cas...
2404.06437
Dimitrios Michail
Dimitrios Michail and Lefki-Ioanna Panagiotou and Charalampos Davalas and Ioannis Prapas and Spyros Kondylatos and Nikolaos Ioannis Bountos and Ioannis Papoutsis
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global wildfire dataset with climate, vegetation, oceanic indices, and human-related va...
[ { "created": "Tue, 9 Apr 2024 16:28:54 GMT", "version": "v1" } ]
2024-04-10
[ [ "Michail", "Dimitrios", "" ], [ "Panagiotou", "Lefki-Ioanna", "" ], [ "Davalas", "Charalampos", "" ], [ "Prapas", "Ioannis", "" ], [ "Kondylatos", "Spyros", "" ], [ "Bountos", "Nikolaos Ioannis", "" ], [ "Papoutsis...
With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global wildfire dataset with climate, vegetation, oceanic indices, and human-related vari...
2006.10712
Ertunc Erdil
Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu
Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the recent years, researchers proposed a number of successful methods to perform out-of-distribution (OOD) detection in deep neural networks (DNNs). So far the scope of the highly accurate methods has been limited to image level classification tasks. However, attempts for generally applicable methods beyond classi...
[ { "created": "Thu, 18 Jun 2020 17:46:06 GMT", "version": "v1" }, { "created": "Tue, 6 Oct 2020 20:39:03 GMT", "version": "v2" }, { "created": "Tue, 24 Nov 2020 11:29:14 GMT", "version": "v3" }, { "created": "Tue, 30 Mar 2021 21:55:47 GMT", "version": "v4" } ]
2021-04-01
[ [ "Erdil", "Ertunc", "" ], [ "Chaitanya", "Krishna", "" ], [ "Karani", "Neerav", "" ], [ "Konukoglu", "Ender", "" ] ]
In the recent years, researchers proposed a number of successful methods to perform out-of-distribution (OOD) detection in deep neural networks (DNNs). So far the scope of the highly accurate methods has been limited to image level classification tasks. However, attempts for generally applicable methods beyond classifi...
1702.06969
Vedat Levi Alev
Vedat Levi Alev, Lap Chi Lau
Approximating Unique Games Using Low Diameter Graph Decomposition
15 pages, 2 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We design approximation algorithms for Unique Games when the constraint graph admits good low diameter graph decomposition. For the ${\sf Max2Lin}_k$ problem in $K_r$-minor free graphs, when there is an assignment satisfying $1-\varepsilon$ fraction of constraints, we present an algorithm that produces an assignment ...
[ { "created": "Wed, 22 Feb 2017 19:08:25 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2017 05:09:46 GMT", "version": "v2" }, { "created": "Mon, 12 Jun 2017 16:23:37 GMT", "version": "v3" }, { "created": "Fri, 17 Nov 2017 13:25:16 GMT", "version": "v4" }, { "c...
2017-12-01
[ [ "Alev", "Vedat Levi", "" ], [ "Lau", "Lap Chi", "" ] ]
We design approximation algorithms for Unique Games when the constraint graph admits good low diameter graph decomposition. For the ${\sf Max2Lin}_k$ problem in $K_r$-minor free graphs, when there is an assignment satisfying $1-\varepsilon$ fraction of constraints, we present an algorithm that produces an assignment sa...
0902.1853
Arash Amini
F. Marvasti, A. Amini, F. Haddadi, M. Soltanolkotabi, B. H. Khalaj, A. Aldroubi, S. Holm, S. Sanei and J. Chambers
A Unified Approach to Sparse Signal Processing
43 pages, 40 figures, 15 tables
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A unified view of sparse signal processing is presented in tutorial form by bringing together various fields. For each of these fields, various algorithms and techniques, which have been developed to leverage sparsity, are described succinctly. The common benefits of significant reduction in sampling rate and process...
[ { "created": "Wed, 11 Feb 2009 16:58:19 GMT", "version": "v1" } ]
2009-02-12
[ [ "Marvasti", "F.", "" ], [ "Amini", "A.", "" ], [ "Haddadi", "F.", "" ], [ "Soltanolkotabi", "M.", "" ], [ "Khalaj", "B. H.", "" ], [ "Aldroubi", "A.", "" ], [ "Holm", "S.", "" ], [ "Sanei", "S."...
A unified view of sparse signal processing is presented in tutorial form by bringing together various fields. For each of these fields, various algorithms and techniques, which have been developed to leverage sparsity, are described succinctly. The common benefits of significant reduction in sampling rate and processin...
1905.02450
Kaitao Song
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Accepted by ICML 2019
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-training and fine-tuning, e.g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the low/zero-resource downstream tasks. Inspired by the success of BERT, we propose MAsked Sequence to Sequence pre-training (MASS) for the encoder-decoder ...
[ { "created": "Tue, 7 May 2019 10:13:04 GMT", "version": "v1" }, { "created": "Wed, 8 May 2019 06:46:26 GMT", "version": "v2" }, { "created": "Mon, 13 May 2019 11:43:27 GMT", "version": "v3" }, { "created": "Tue, 11 Jun 2019 03:43:41 GMT", "version": "v4" }, { "cre...
2019-06-24
[ [ "Song", "Kaitao", "" ], [ "Tan", "Xu", "" ], [ "Qin", "Tao", "" ], [ "Lu", "Jianfeng", "" ], [ "Liu", "Tie-Yan", "" ] ]
Pre-training and fine-tuning, e.g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the low/zero-resource downstream tasks. Inspired by the success of BERT, we propose MAsked Sequence to Sequence pre-training (MASS) for the encoder-decoder ba...
2305.05592
Ela Liberman Pincu
Ela Liberman-Pincu and Tal Oron-Gilad
A Robotic Medical Clown (RMC): Forming a Design Space Model
Working paper based on the poster presented at ICRA 2023
null
null
null
cs.RO cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Medical clowns help hospitalized children in reducing pain and anxiety symptoms and increase the level of satisfaction in children's wards. Unfortunately, there is a shortage of medical clowns around the world. Furthermore, isolated children can not enjoy this service. This study explored the concept of a Robotic Med...
[ { "created": "Tue, 9 May 2023 16:31:36 GMT", "version": "v1" } ]
2023-05-10
[ [ "Liberman-Pincu", "Ela", "" ], [ "Oron-Gilad", "Tal", "" ] ]
Medical clowns help hospitalized children in reducing pain and anxiety symptoms and increase the level of satisfaction in children's wards. Unfortunately, there is a shortage of medical clowns around the world. Furthermore, isolated children can not enjoy this service. This study explored the concept of a Robotic Medic...
1805.11550
Justin Hsu
Gerco van Heerdt, Justin Hsu, Jo\"el Ouaknine, Alexandra Silva
Convex Language Semantics for Nondeterministic Probabilistic Automata
null
null
null
null
cs.FL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore language semantics for automata combining probabilistic and nondeterministic behavior. We first show that there are precisely two natural semantics for probabilistic automata with nondeterminism. For both choices, we show that these automata are strictly more expressive than deterministic probabilistic aut...
[ { "created": "Tue, 29 May 2018 15:56:32 GMT", "version": "v1" } ]
2018-05-30
[ [ "van Heerdt", "Gerco", "" ], [ "Hsu", "Justin", "" ], [ "Ouaknine", "Joël", "" ], [ "Silva", "Alexandra", "" ] ]
We explore language semantics for automata combining probabilistic and nondeterministic behavior. We first show that there are precisely two natural semantics for probabilistic automata with nondeterminism. For both choices, we show that these automata are strictly more expressive than deterministic probabilistic autom...
1708.09217
Long Zhou
Long Zhou, Jiajun Zhang, Chengqing Zong
Look-ahead Attention for Generation in Neural Machine Translation
12 pages, 5 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The attention model has become a standard component in neural machine translation (NMT) and it guides translation process by selectively focusing on parts of the source sentence when predicting each target word. However, we find that the generation of a target word does not only depend on the source sentence, but als...
[ { "created": "Wed, 30 Aug 2017 11:27:02 GMT", "version": "v1" } ]
2017-08-31
[ [ "Zhou", "Long", "" ], [ "Zhang", "Jiajun", "" ], [ "Zong", "Chengqing", "" ] ]
The attention model has become a standard component in neural machine translation (NMT) and it guides translation process by selectively focusing on parts of the source sentence when predicting each target word. However, we find that the generation of a target word does not only depend on the source sentence, but also ...
2206.04891
Sascha Marton
Sascha Marton, Stefan L\"udtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Explaining Neural Networks without Access to Training Data
null
Machine Learning (2024)
10.1007/s10994-023-06428-4
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We consider generating explanations for neural networks in cases where the network's training data is not accessible, for instance due to privacy or safety issues. Recently, $\mathcal{I}$-Nets have been proposed as a sample-free approach to post-hoc, global model interpretability that does not require access to train...
[ { "created": "Fri, 10 Jun 2022 06:10:04 GMT", "version": "v1" } ]
2024-01-15
[ [ "Marton", "Sascha", "" ], [ "Lüdtke", "Stefan", "" ], [ "Bartelt", "Christian", "" ], [ "Tschalzev", "Andrej", "" ], [ "Stuckenschmidt", "Heiner", "" ] ]
We consider generating explanations for neural networks in cases where the network's training data is not accessible, for instance due to privacy or safety issues. Recently, $\mathcal{I}$-Nets have been proposed as a sample-free approach to post-hoc, global model interpretability that does not require access to trainin...
2406.18836
Huaying Zhang
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
Accepted as a conference paper in IEEE ICIP 2024
null
null
null
cs.CV cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel zero-shot composed image retrieval (CIR) method considering the query-target relationship by masked image-text pairs. The objective of CIR is to retrieve the target image using a query image and a query text. Existing methods use a textual inversion network to convert the query image into ...
[ { "created": "Thu, 27 Jun 2024 02:10:30 GMT", "version": "v1" } ]
2024-06-28
[ [ "Zhang", "Huaying", "" ], [ "Yanagi", "Rintaro", "" ], [ "Togo", "Ren", "" ], [ "Ogawa", "Takahiro", "" ], [ "Haseyama", "Miki", "" ] ]
This paper proposes a novel zero-shot composed image retrieval (CIR) method considering the query-target relationship by masked image-text pairs. The objective of CIR is to retrieve the target image using a query image and a query text. Existing methods use a textual inversion network to convert the query image into a ...
0904.2129
Tamara Mchedlidze David
Tamara Mchedlidze, Antonios Symvonis
Crossing-Optimal Acyclic HP-Completion for Outerplanar st-Digraphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given an embedded planar acyclic digraph G, we define the problem of acyclic hamiltonian path completion with crossing minimization (Acyclic-HPCCM) to be the problem of determining a hamiltonian path completion set of edges such that, when these edges are embedded on G, they create the smallest possible number of edg...
[ { "created": "Tue, 14 Apr 2009 14:29:56 GMT", "version": "v1" } ]
2009-04-15
[ [ "Mchedlidze", "Tamara", "" ], [ "Symvonis", "Antonios", "" ] ]
Given an embedded planar acyclic digraph G, we define the problem of acyclic hamiltonian path completion with crossing minimization (Acyclic-HPCCM) to be the problem of determining a hamiltonian path completion set of edges such that, when these edges are embedded on G, they create the smallest possible number of edge ...
1404.5248
Meddeb Mohamed
M. Meddeb, H. Karray and Adel M. Alimi
Intelligent Remote Control for TV Program based on Emotion in Arabic Speech
6 pages, 3 figures
International Journal of Scientific Research & Engineering Technology (IJSET), ISSN: (2277-1581) volume 1, 2014
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing ou...
[ { "created": "Mon, 21 Apr 2014 17:25:15 GMT", "version": "v1" } ]
2014-04-22
[ [ "Meddeb", "M.", "" ], [ "Karray", "H.", "" ], [ "Alimi", "Adel M.", "" ] ]
Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing our ...
2011.00784
Tobias Schlagenhauf
Tobias Schlagenhauf, Yefeng Xia, J\"urgen Fleischer
Context-based Image Segment Labeling (CBISL)
11 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Working with images, one often faces problems with incomplete or unclear information. Image inpainting can be used to restore missing image regions but focuses, however, on low-level image features such as pixel intensity, pixel gradient orientation, and color. This paper aims to recover semantic image features (obje...
[ { "created": "Mon, 2 Nov 2020 07:26:55 GMT", "version": "v1" } ]
2020-11-03
[ [ "Schlagenhauf", "Tobias", "" ], [ "Xia", "Yefeng", "" ], [ "Fleischer", "Jürgen", "" ] ]
Working with images, one often faces problems with incomplete or unclear information. Image inpainting can be used to restore missing image regions but focuses, however, on low-level image features such as pixel intensity, pixel gradient orientation, and color. This paper aims to recover semantic image features (object...
2304.00988
Andrea Poltronieri
Jacopo de Berardinis, Albert Mero\~no-Pe\~nuela, Andrea Poltronieri, Valentina Presutti
The Music Annotation Pattern
12 pages, 3 figures. Proceedings of the 13th Workshop on Ontology Design and Patterns, edited by V. Sv\'atek et al., WOP, 2022
null
null
null
cs.AI cs.MM cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems and conventions for annotating music have been developed as independent standards over the past decades. Little has been done to make them interoperable, whi...
[ { "created": "Thu, 30 Mar 2023 11:13:59 GMT", "version": "v1" } ]
2023-04-04
[ [ "de Berardinis", "Jacopo", "" ], [ "Meroño-Peñuela", "Albert", "" ], [ "Poltronieri", "Andrea", "" ], [ "Presutti", "Valentina", "" ] ]
The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems and conventions for annotating music have been developed as independent standards over the past decades. Little has been done to make them interoperable, which...
2401.17035
Ivica Kopriva Dr
Ivica Kopriva
Robust Kernel Sparse Subspace Clustering
5 pages, 2 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Kernel methods are applied to many problems in pattern recognition, including subspace clustering (SC). That way, nonlinear problems in the input data space become linear in mapped high-dimensional feature space. Thereby, computationally tractable nonlinear algorithms are enabled through implicit mapping by the virtu...
[ { "created": "Tue, 30 Jan 2024 14:12:39 GMT", "version": "v1" } ]
2024-01-31
[ [ "Kopriva", "Ivica", "" ] ]
Kernel methods are applied to many problems in pattern recognition, including subspace clustering (SC). That way, nonlinear problems in the input data space become linear in mapped high-dimensional feature space. Thereby, computationally tractable nonlinear algorithms are enabled through implicit mapping by the virtue ...
1712.06843
Saahil Ognawala
Saahil Ognawala, Ana Petrovska, Kristian Beckers
An Exploratory Survey of Hybrid Testing Techniques Involving Symbolic Execution and Fuzzing
Author's preprint
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent efforts in practical symbolic execution have successfully mitigated the path-explosion problem to some extent with search-based heuristics and compositional approaches. Similarly, due to an increase in the performance of cheap multi-core commodity computers, fuzzing as a viable method of random mutation-based ...
[ { "created": "Tue, 19 Dec 2017 09:50:10 GMT", "version": "v1" } ]
2017-12-20
[ [ "Ognawala", "Saahil", "" ], [ "Petrovska", "Ana", "" ], [ "Beckers", "Kristian", "" ] ]
Recent efforts in practical symbolic execution have successfully mitigated the path-explosion problem to some extent with search-based heuristics and compositional approaches. Similarly, due to an increase in the performance of cheap multi-core commodity computers, fuzzing as a viable method of random mutation-based te...
2310.18036
Benjamin Aram Berendsohn
Benjamin Aram Berendsohn
Fast and simple unrooted dynamic forests
null
null
10.1137/1.9781611977929.4
null
cs.DS
http://creativecommons.org/licenses/by-sa/4.0/
A dynamic forest data structure maintains a forest (and associated data like edge weights) under edge insertions and deletions. Dynamic forests are widely used to solve online and offline graph problems. Well-known examples of dynamic forest data structures are link-cut trees [Sleator and Tarjan '83] and top trees [A...
[ { "created": "Fri, 27 Oct 2023 10:28:24 GMT", "version": "v1" }, { "created": "Mon, 8 Jan 2024 13:48:50 GMT", "version": "v2" } ]
2024-01-09
[ [ "Berendsohn", "Benjamin Aram", "" ] ]
A dynamic forest data structure maintains a forest (and associated data like edge weights) under edge insertions and deletions. Dynamic forests are widely used to solve online and offline graph problems. Well-known examples of dynamic forest data structures are link-cut trees [Sleator and Tarjan '83] and top trees [Als...
2209.14399
Marie Siew
Marie Siew, Shikhar Sharma, Zekai Li, Kun Guo, Chao Xu, Tania Lorido-Botran, Tony Q.S. Quek and Carlee Joe-Wong
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
null
null
null
null
cs.NI cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
In edge computing, users' service profiles are migrated due to user mobility. Reinforcement learning (RL) frameworks have been proposed to do so, often trained on simulated data. However, existing RL frameworks overlook occasional server failures, which although rare, impact latency-sensitive applications like autono...
[ { "created": "Wed, 28 Sep 2022 19:49:39 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 06:22:02 GMT", "version": "v2" } ]
2024-03-08
[ [ "Siew", "Marie", "" ], [ "Sharma", "Shikhar", "" ], [ "Li", "Zekai", "" ], [ "Guo", "Kun", "" ], [ "Xu", "Chao", "" ], [ "Lorido-Botran", "Tania", "" ], [ "Quek", "Tony Q. S.", "" ], [ "Joe-Wong", ...
In edge computing, users' service profiles are migrated due to user mobility. Reinforcement learning (RL) frameworks have been proposed to do so, often trained on simulated data. However, existing RL frameworks overlook occasional server failures, which although rare, impact latency-sensitive applications like autonomo...
2012.09720
Ilias Diakonikolas
Ilias Diakonikolas and Daniel M. Kane
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
This version improves on the previous version. It obtains a near-optimal hardness result essentially matching known algorithms
null
null
null
cs.LG cs.CC math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of PAC learning halfspaces with Massart noise. Given labeled samples $(x, y)$ from a distribution $D$ on $\mathbb{R}^{d} \times \{ \pm 1\}$ such that the marginal $D_x$ on the examples is arbitrary and the label $y$ of example $x$ is generated from the target halfspace corrupted by a Massart adve...
[ { "created": "Thu, 17 Dec 2020 16:43:11 GMT", "version": "v1" }, { "created": "Mon, 23 Aug 2021 16:18:45 GMT", "version": "v2" }, { "created": "Mon, 8 Nov 2021 18:19:54 GMT", "version": "v3" } ]
2021-11-09
[ [ "Diakonikolas", "Ilias", "" ], [ "Kane", "Daniel M.", "" ] ]
We study the problem of PAC learning halfspaces with Massart noise. Given labeled samples $(x, y)$ from a distribution $D$ on $\mathbb{R}^{d} \times \{ \pm 1\}$ such that the marginal $D_x$ on the examples is arbitrary and the label $y$ of example $x$ is generated from the target halfspace corrupted by a Massart advers...
2203.04311
Zhiyu Mou
Zhiyu Mou, Jun Liu, Xiang Yun, Feifei Gao, Qihui Wu
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning
null
null
null
null
cs.LG cs.AI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the cluster head detection problem of a two-level unmanned aerial vehicle (UAV) swarm network (USNET) with multiple UAV clusters, where the inherent follow strategy (IFS) of low-level follower UAVs (FUAVs) with respect to high-level cluster head UAVs (HUAVs) is unknown. We first propose a grap...
[ { "created": "Tue, 8 Mar 2022 14:50:29 GMT", "version": "v1" } ]
2022-03-10
[ [ "Mou", "Zhiyu", "" ], [ "Liu", "Jun", "" ], [ "Yun", "Xiang", "" ], [ "Gao", "Feifei", "" ], [ "Wu", "Qihui", "" ] ]
In this paper, we study the cluster head detection problem of a two-level unmanned aerial vehicle (UAV) swarm network (USNET) with multiple UAV clusters, where the inherent follow strategy (IFS) of low-level follower UAVs (FUAVs) with respect to high-level cluster head UAVs (HUAVs) is unknown. We first propose a graph ...
1804.08032
Bart Jacobs
Bart Jacobs
A Channel-based Exact Inference Algorithm for Bayesian Networks
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a new algorithm for exact Bayesian inference that is based on a recently proposed compositional semantics of Bayesian networks in terms of channels. The paper concentrates on the ideas behind this algorithm, involving a linearisation (`stretching') of the Bayesian network, followed by a combinati...
[ { "created": "Sat, 21 Apr 2018 21:59:24 GMT", "version": "v1" } ]
2018-04-24
[ [ "Jacobs", "Bart", "" ] ]
This paper describes a new algorithm for exact Bayesian inference that is based on a recently proposed compositional semantics of Bayesian networks in terms of channels. The paper concentrates on the ideas behind this algorithm, involving a linearisation (`stretching') of the Bayesian network, followed by a combination...
2103.04789
Qianyu Feng
Qianyu Feng, Yawei Luo, Keyang Luo, Yi Yang
Look, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data
this work is no longer under development
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Inferring the stereo structure of objects in the real world is a challenging yet practical task. To equip deep models with this ability usually requires abundant 3D supervision which is hard to acquire. It is promising that we can simply benefit from synthetic data, where pairwise ground-truth is easy to access. Neve...
[ { "created": "Mon, 8 Mar 2021 14:30:18 GMT", "version": "v1" }, { "created": "Thu, 18 Mar 2021 11:31:09 GMT", "version": "v2" }, { "created": "Tue, 7 Jun 2022 05:44:25 GMT", "version": "v3" } ]
2022-06-08
[ [ "Feng", "Qianyu", "" ], [ "Luo", "Yawei", "" ], [ "Luo", "Keyang", "" ], [ "Yang", "Yi", "" ] ]
Inferring the stereo structure of objects in the real world is a challenging yet practical task. To equip deep models with this ability usually requires abundant 3D supervision which is hard to acquire. It is promising that we can simply benefit from synthetic data, where pairwise ground-truth is easy to access. Nevert...
2001.05451
Yujie Wang
Yujie Wang
Improvement of an Approximated Self-Improving Sorter and Error Analysis of its Estimated Entropy
I found there is a critical error in this submission, therefore, I withdraw this draft
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
The self-improving sorter proposed by Ailon et al. consists of two phases: a relatively long training phase and rapid operation phase. In this study, we have developed an efficient way to further improve this sorter by approximating its training phase to be faster but not sacrificing much performance in the operation...
[ { "created": "Wed, 15 Jan 2020 17:49:28 GMT", "version": "v1" }, { "created": "Mon, 15 Mar 2021 13:18:01 GMT", "version": "v2" } ]
2021-03-16
[ [ "Wang", "Yujie", "" ] ]
The self-improving sorter proposed by Ailon et al. consists of two phases: a relatively long training phase and rapid operation phase. In this study, we have developed an efficient way to further improve this sorter by approximating its training phase to be faster but not sacrificing much performance in the operation p...
1709.05675
Andrey Savchenko
Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks
8 pages; 1 figure, accepted for publication at AIST17
Proceedings of the International Conference on Analysis of Images, Social Networks and Texts (AIST), 2018, pp. 223-230
10.1007/978-3-319-73013-4_20
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose the two-stage approach of organizing information in video surveillance systems. At first, the faces are detected in each frame and a video stream is split into sequences of frames with face region of one person. Secondly, these sequences (tracks) that contain identical faces are grouped using...
[ { "created": "Sun, 17 Sep 2017 14:57:55 GMT", "version": "v1" } ]
2018-01-04
[ [ "Sokolova", "Anastasiia D.", "" ], [ "Kharchevnikova", "Angelina S.", "" ], [ "Savchenko", "Andrey V.", "" ] ]
In this paper we propose the two-stage approach of organizing information in video surveillance systems. At first, the faces are detected in each frame and a video stream is split into sequences of frames with face region of one person. Secondly, these sequences (tracks) that contain identical faces are grouped using f...
2304.08327
Yi-Pei Chen
Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen
LED: A Dataset for Life Event Extraction from Dialogs
Accepted to EACL 2023 Findings
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Lifelogging has gained more attention due to its wide applications, such as personalized recommendations or memory assistance. The issues of collecting and extracting personal life events have emerged. People often share their life experiences with others through conversations. However, extracting life events from co...
[ { "created": "Mon, 17 Apr 2023 14:46:59 GMT", "version": "v1" } ]
2023-04-18
[ [ "Chen", "Yi-Pei", "" ], [ "Yen", "An-Zi", "" ], [ "Huang", "Hen-Hsen", "" ], [ "Nakayama", "Hideki", "" ], [ "Chen", "Hsin-Hsi", "" ] ]
Lifelogging has gained more attention due to its wide applications, such as personalized recommendations or memory assistance. The issues of collecting and extracting personal life events have emerged. People often share their life experiences with others through conversations. However, extracting life events from conv...
2007.07841
Paul Tardy
Paul Tardy, David Janiszek, Yannick Est\`eve, Vincent Nguyen
Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
null
LREC 2020 -- Proceedings of The 12th Language Resources and Evaluation Conference, 2020, pp. 6718--6724
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Summarizing texts is not a straightforward task. Before even considering text summarization, one should determine what kind of summary is expected. How much should the information be compressed? Is it relevant to reformulate or should the summary stick to the original phrasing? State-of-the-art on automatic text summ...
[ { "created": "Wed, 15 Jul 2020 17:03:34 GMT", "version": "v1" } ]
2020-07-16
[ [ "Tardy", "Paul", "" ], [ "Janiszek", "David", "" ], [ "Estève", "Yannick", "" ], [ "Nguyen", "Vincent", "" ] ]
Summarizing texts is not a straightforward task. Before even considering text summarization, one should determine what kind of summary is expected. How much should the information be compressed? Is it relevant to reformulate or should the summary stick to the original phrasing? State-of-the-art on automatic text summar...
1711.02257
Zhao Chen
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee and Andrew Rabinovich
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
ICML 2018
Proceedings of the 35th International Conference on Machine Learning (2018), 793-802
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challenging to train properly. We present a gradient normalization (GradNorm) algorithm that automatically balances training in deep multitask m...
[ { "created": "Tue, 7 Nov 2017 02:08:12 GMT", "version": "v1" }, { "created": "Tue, 19 Dec 2017 01:00:22 GMT", "version": "v2" }, { "created": "Sun, 8 Apr 2018 21:25:49 GMT", "version": "v3" }, { "created": "Tue, 12 Jun 2018 06:45:49 GMT", "version": "v4" } ]
2018-07-16
[ [ "Chen", "Zhao", "" ], [ "Badrinarayanan", "Vijay", "" ], [ "Lee", "Chen-Yu", "" ], [ "Rabinovich", "Andrew", "" ] ]
Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challenging to train properly. We present a gradient normalization (GradNorm) algorithm that automatically balances training in deep multitask mod...
2304.08379
Pedro Neto
Ant\'onio Amorim, Diana Guimar\~aes, Tiago Mendon\c{c}a, Pedro Neto, Paulo Costa, Ant\'onio Paulo Moreira
Robust human position estimation in cooperative robotic cells
null
Robotics and Computer-Integrated Manufacturing, 67, 102035 (2021)
10.1016/j.rcim.2020.102035
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Robots are increasingly present in our lives, sharing the workspace and tasks with human co-workers. However, existing interfaces for human-robot interaction / cooperation (HRI/C) have limited levels of intuitiveness to use and safety is a major concern when humans and robots share the same workspace. Many times, thi...
[ { "created": "Mon, 17 Apr 2023 15:42:44 GMT", "version": "v1" } ]
2023-04-18
[ [ "Amorim", "António", "" ], [ "Guimarães", "Diana", "" ], [ "Mendonça", "Tiago", "" ], [ "Neto", "Pedro", "" ], [ "Costa", "Paulo", "" ], [ "Moreira", "António Paulo", "" ] ]
Robots are increasingly present in our lives, sharing the workspace and tasks with human co-workers. However, existing interfaces for human-robot interaction / cooperation (HRI/C) have limited levels of intuitiveness to use and safety is a major concern when humans and robots share the same workspace. Many times, this ...
2305.08527
Jinlei Xu
Jinlei Xu, Zhengyu Zhu, Zheng Chu, Hehao Niu, Pei Xiao, Inkyu Lee
Sum Secrecy Rate Maximization for IRS-aided Multi-Cluster MIMO-NOMA Terahertz Systems
11 pages, 8 figure; references added
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Intelligent reflecting surface (IRS) is a promising technique to extend the network coverage and improve spectral efficiency. This paper investigates an IRS-assisted terahertz (THz) multiple-input multiple-output (MIMO)-nonorthogonal multiple access (NOMA) system based on hybrid precoding with the presence of eavesdr...
[ { "created": "Mon, 15 May 2023 10:35:26 GMT", "version": "v1" }, { "created": "Mon, 12 Jun 2023 00:09:03 GMT", "version": "v2" } ]
2023-06-13
[ [ "Xu", "Jinlei", "" ], [ "Zhu", "Zhengyu", "" ], [ "Chu", "Zheng", "" ], [ "Niu", "Hehao", "" ], [ "Xiao", "Pei", "" ], [ "Lee", "Inkyu", "" ] ]
Intelligent reflecting surface (IRS) is a promising technique to extend the network coverage and improve spectral efficiency. This paper investigates an IRS-assisted terahertz (THz) multiple-input multiple-output (MIMO)-nonorthogonal multiple access (NOMA) system based on hybrid precoding with the presence of eavesdrop...
2406.10910
Kaiming Shen
Yannan Chen, Yi Feng, Xiaoyang Li, Licheng Zhao, Kaiming Shen
Fast Fractional Programming for Multi-Cell Integrated Sensing and Communications
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper concerns the coordinate multi-cell beamforming design for integrated sensing and communications (ISAC). In particular, we assume that each base station (BS) has massive antennas. The optimization objective is to maximize a weighted sum of the data rates (for communications) and the Fisher information (for ...
[ { "created": "Sun, 16 Jun 2024 12:14:09 GMT", "version": "v1" } ]
2024-06-18
[ [ "Chen", "Yannan", "" ], [ "Feng", "Yi", "" ], [ "Li", "Xiaoyang", "" ], [ "Zhao", "Licheng", "" ], [ "Shen", "Kaiming", "" ] ]
This paper concerns the coordinate multi-cell beamforming design for integrated sensing and communications (ISAC). In particular, we assume that each base station (BS) has massive antennas. The optimization objective is to maximize a weighted sum of the data rates (for communications) and the Fisher information (for se...
2203.01880
Elmira Amirloo Abolfathi
Elmira Amirloo, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Multi-agent trajectory prediction is a fundamental problem in autonomous driving. The key challenges in prediction are accurately anticipating the behavior of surrounding agents and understanding the scene context. To address these problems, we propose LatentFormer, a transformer-based model for predicting future veh...
[ { "created": "Thu, 3 Mar 2022 17:44:58 GMT", "version": "v1" } ]
2022-03-04
[ [ "Amirloo", "Elmira", "" ], [ "Rasouli", "Amir", "" ], [ "Lakner", "Peter", "" ], [ "Rohani", "Mohsen", "" ], [ "Luo", "Jun", "" ] ]
Multi-agent trajectory prediction is a fundamental problem in autonomous driving. The key challenges in prediction are accurately anticipating the behavior of surrounding agents and understanding the scene context. To address these problems, we propose LatentFormer, a transformer-based model for predicting future vehic...
2405.05615
Shibo Jie
Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Accepted to ICML2024
null
null
null
cs.CV cs.CL cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Current solutions for efficiently constructing large vision-language (VL) models follow a two-step paradigm: projecting the output of pre-trained vision encoders to the input space of pre-trained language models as visual prompts; and then transferring the models to downstream VL tasks via end-to-end parameter-effici...
[ { "created": "Thu, 9 May 2024 08:23:20 GMT", "version": "v1" } ]
2024-05-10
[ [ "Jie", "Shibo", "" ], [ "Tang", "Yehui", "" ], [ "Ding", "Ning", "" ], [ "Deng", "Zhi-Hong", "" ], [ "Han", "Kai", "" ], [ "Wang", "Yunhe", "" ] ]
Current solutions for efficiently constructing large vision-language (VL) models follow a two-step paradigm: projecting the output of pre-trained vision encoders to the input space of pre-trained language models as visual prompts; and then transferring the models to downstream VL tasks via end-to-end parameter-efficien...
2206.09848
Yue Chen
Anthony L. Gunderman, Saikat Sengupta, Eleni Siampli, Dimitri Sigounas, Christopher Kellner, Chima Oluigbo, Karun Sharma, Isuru Godage, Kevin Cleary, Yue Chen
A Surgical Platform for Intracerebral Hemorrhage Robotic Evacuation (ASPIHRE): A Non-metallic MR-guided Concentric Tube Robot
19 pages, 20 figures, 3 tables
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intracerebral hemorrhage (ICH) is the deadliest stroke sub-type, with a one-month mortality rate as high as 52%. Due to the potential cortical disruption caused by craniotomy, conservative management (watchful waiting) has historically been a common method of treatment. Minimally invasive evacuation has recently beco...
[ { "created": "Mon, 20 Jun 2022 15:26:43 GMT", "version": "v1" } ]
2022-06-22
[ [ "Gunderman", "Anthony L.", "" ], [ "Sengupta", "Saikat", "" ], [ "Siampli", "Eleni", "" ], [ "Sigounas", "Dimitri", "" ], [ "Kellner", "Christopher", "" ], [ "Oluigbo", "Chima", "" ], [ "Sharma", "Karun", "...
Intracerebral hemorrhage (ICH) is the deadliest stroke sub-type, with a one-month mortality rate as high as 52%. Due to the potential cortical disruption caused by craniotomy, conservative management (watchful waiting) has historically been a common method of treatment. Minimally invasive evacuation has recently become...
2406.13457
Dachun Kai
Dachun Kai, Jiayao Lu, Yueyi Zhang, Xiaoyan Sun
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
ICML 2024. Project page: https://dachunkai.github.io/evtexture.github.io/
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event-based vision has drawn increasing attention due to its unique characteristics, such as high temporal resolution and high dynamic range. It has been used in video super-resolution (VSR) recently to enhance the flow estimation and temporal alignment. Rather than for motion learning, we propose in this paper the f...
[ { "created": "Wed, 19 Jun 2024 11:27:44 GMT", "version": "v1" } ]
2024-06-21
[ [ "Kai", "Dachun", "" ], [ "Lu", "Jiayao", "" ], [ "Zhang", "Yueyi", "" ], [ "Sun", "Xiaoyan", "" ] ]
Event-based vision has drawn increasing attention due to its unique characteristics, such as high temporal resolution and high dynamic range. It has been used in video super-resolution (VSR) recently to enhance the flow estimation and temporal alignment. Rather than for motion learning, we propose in this paper the fir...
1211.6653
Yuyang Wang
Yuyang Wang, Roni Khardon
Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach
Preliminary version appeared in ECML2012
null
10.1007/978-3-642-33460-3_51
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-task learning models using Gaussian processes (GP) have been developed and successfully applied in various applications. The main difficulty with this approach is the computational cost of inference using the union of examples from all tasks. Therefore sparse solutions, that avoid using the entire data directly...
[ { "created": "Wed, 28 Nov 2012 16:50:23 GMT", "version": "v1" } ]
2012-11-29
[ [ "Wang", "Yuyang", "" ], [ "Khardon", "Roni", "" ] ]
Multi-task learning models using Gaussian processes (GP) have been developed and successfully applied in various applications. The main difficulty with this approach is the computational cost of inference using the union of examples from all tasks. Therefore sparse solutions, that avoid using the entire data directly a...
1502.07449
Lan Shi
Lan Shi, Christopher Soell, Andreas Baenisch, Robert Weigel, J\"urgen Seiler, Thomas Ussmueller
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing
Presented at DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015) (arXiv:1502.07241)
null
null
DATEHIS/2015/04
cs.ET cs.AR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A concept for a novel CMOS image sensor suited for analog image pre-processing is presented in this paper. As an example, an image restoration algorithm for reducing image noise is applied as image pre-processing in the analog domain. To supply low-latency data input for analog image preprocessing, the proposed conce...
[ { "created": "Thu, 26 Feb 2015 06:18:04 GMT", "version": "v1" } ]
2015-02-27
[ [ "Shi", "Lan", "" ], [ "Soell", "Christopher", "" ], [ "Baenisch", "Andreas", "" ], [ "Weigel", "Robert", "" ], [ "Seiler", "Jürgen", "" ], [ "Ussmueller", "Thomas", "" ] ]
A concept for a novel CMOS image sensor suited for analog image pre-processing is presented in this paper. As an example, an image restoration algorithm for reducing image noise is applied as image pre-processing in the analog domain. To supply low-latency data input for analog image preprocessing, the proposed concept...
2401.02734
Jian Li
Jian Li, Yong Liu, Wei Wang, Haoran Wu, Weiping Wang
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
Accepted at AAAI 2024
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent Newton-type federated learning algorithms have demonstrated linear convergence with respect to the communication rounds. However, communicating Hessian matrices is often unfeasible due to their quadratic communication complexity. In this paper, we introduce a novel approach to tackle this issue while still ach...
[ { "created": "Fri, 5 Jan 2024 10:06:41 GMT", "version": "v1" } ]
2024-01-08
[ [ "Li", "Jian", "" ], [ "Liu", "Yong", "" ], [ "Wang", "Wei", "" ], [ "Wu", "Haoran", "" ], [ "Wang", "Weiping", "" ] ]
Recent Newton-type federated learning algorithms have demonstrated linear convergence with respect to the communication rounds. However, communicating Hessian matrices is often unfeasible due to their quadratic communication complexity. In this paper, we introduce a novel approach to tackle this issue while still achie...
1108.4891
Christoph Wernhard
Christoph Wernhard
Computing with Logic as Operator Elimination: The ToyElim System
Appears in the Proceedings of the 25th Workshop on Logic Programming (WLP 2011)
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A prototype system is described whose core functionality is, based on propositional logic, the elimination of second-order operators, such as Boolean quantifiers and operators for projection, forgetting and circumscription. This approach allows to express many representational and computational tasks in knowledge rep...
[ { "created": "Wed, 24 Aug 2011 17:21:58 GMT", "version": "v1" } ]
2011-08-25
[ [ "Wernhard", "Christoph", "" ] ]
A prototype system is described whose core functionality is, based on propositional logic, the elimination of second-order operators, such as Boolean quantifiers and operators for projection, forgetting and circumscription. This approach allows to express many representational and computational tasks in knowledge repre...
2106.04765
Yair Schiff
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
Predicting Deep Neural Network Generalization with Perturbation Response Curves
NeurIPS 2021
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of Deep Learning is rich with empirical evidence of human-like performance on a variety of prediction tasks. However, despite these successes, the recent Predicting Generalization in Deep Learning (PGDL) NeurIPS 2020 competition suggests that there is a need for more robust and efficient measures of network...
[ { "created": "Wed, 9 Jun 2021 01:37:36 GMT", "version": "v1" }, { "created": "Wed, 27 Oct 2021 01:19:08 GMT", "version": "v2" } ]
2021-10-28
[ [ "Schiff", "Yair", "" ], [ "Quanz", "Brian", "" ], [ "Das", "Payel", "" ], [ "Chen", "Pin-Yu", "" ] ]
The field of Deep Learning is rich with empirical evidence of human-like performance on a variety of prediction tasks. However, despite these successes, the recent Predicting Generalization in Deep Learning (PGDL) NeurIPS 2020 competition suggests that there is a need for more robust and efficient measures of network g...
2405.01754
Atefeh Alirezazadeh
Atefeh Alirezazadeh, Vahid Disfani
A Peer-to-Peer Energy Management Solution for Maximum Social Welfare
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In smart energy communities, prosumers who both generate and consume energy play a crucial role in shaping energy management strategies. These communities use advanced platforms that enable prosumers to actively engage in the local electricity markets by setting and adjusting their own energy prices. Through peer to ...
[ { "created": "Thu, 2 May 2024 21:42:35 GMT", "version": "v1" } ]
2024-05-06
[ [ "Alirezazadeh", "Atefeh", "" ], [ "Disfani", "Vahid", "" ] ]
In smart energy communities, prosumers who both generate and consume energy play a crucial role in shaping energy management strategies. These communities use advanced platforms that enable prosumers to actively engage in the local electricity markets by setting and adjusting their own energy prices. Through peer to pe...
1702.01638
Xinyu Li
Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Ivan Marsic, Richard A. Farneth, Randall S. Burd
Concurrent Activity Recognition with Multimodal CNN-LSTM Structure
14 pages, 12 figures, under review
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a system that recognizes concurrent activities from real-world data captured by multiple sensors of different types. The recognition is achieved in two steps. First, we extract spatial and temporal features from the multimodal data. We feed each datatype into a convolutional neural network that extracts ...
[ { "created": "Mon, 6 Feb 2017 15:01:45 GMT", "version": "v1" } ]
2017-02-07
[ [ "Li", "Xinyu", "" ], [ "Zhang", "Yanyi", "" ], [ "Zhang", "Jianyu", "" ], [ "Chen", "Shuhong", "" ], [ "Marsic", "Ivan", "" ], [ "Farneth", "Richard A.", "" ], [ "Burd", "Randall S.", "" ] ]
We introduce a system that recognizes concurrent activities from real-world data captured by multiple sensors of different types. The recognition is achieved in two steps. First, we extract spatial and temporal features from the multimodal data. We feed each datatype into a convolutional neural network that extracts sp...
2311.01591
Debolina Halder Lina
Debolina Halder Lina and Arlei Silva
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper addresses the problem of learning fair Graph Neural Networks (GNNs) under missing protected attributes. GNNs have achieved state-of-the-art results in many relevant tasks where decisions might disproportionately impact specific communities. However, existing work on fair GNNs assumes that either protected ...
[ { "created": "Thu, 2 Nov 2023 20:57:44 GMT", "version": "v1" }, { "created": "Thu, 15 Feb 2024 17:48:33 GMT", "version": "v2" } ]
2024-02-16
[ [ "Lina", "Debolina Halder", "" ], [ "Silva", "Arlei", "" ] ]
This paper addresses the problem of learning fair Graph Neural Networks (GNNs) under missing protected attributes. GNNs have achieved state-of-the-art results in many relevant tasks where decisions might disproportionately impact specific communities. However, existing work on fair GNNs assumes that either protected at...
1712.07062
Biao He
Biao He, Shihao Yan, Xiangyun Zhou, and Hamid Jafarkhani
Covert Wireless Communication with a Poisson Field of Interferers
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study covert communication in wireless networks consisting of a transmitter, Alice, an intended receiver, Bob, a warden, Willie, and a Poisson field of interferers. Bob and Willie are subject to uncertain shot noise due to the ambient signals from interferers in the network. With the aid of stochast...
[ { "created": "Tue, 19 Dec 2017 17:21:59 GMT", "version": "v1" }, { "created": "Tue, 12 Jun 2018 16:42:03 GMT", "version": "v2" }, { "created": "Tue, 19 Jun 2018 00:04:39 GMT", "version": "v3" } ]
2018-06-20
[ [ "He", "Biao", "" ], [ "Yan", "Shihao", "" ], [ "Zhou", "Xiangyun", "" ], [ "Jafarkhani", "Hamid", "" ] ]
In this paper, we study covert communication in wireless networks consisting of a transmitter, Alice, an intended receiver, Bob, a warden, Willie, and a Poisson field of interferers. Bob and Willie are subject to uncertain shot noise due to the ambient signals from interferers in the network. With the aid of stochastic...
1711.10288
Jacopo Cavazza
Pietro Morerio and Jacopo Cavazza and Vittorio Murino
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we face the problem of unsupervised domain adaptation with a novel deep learning approach which leverages on our finding that entropy minimization is induced by the optimal alignment of second order statistics between source and target domains. We formally demonstrate this hypothesis and, aiming at achi...
[ { "created": "Tue, 28 Nov 2017 13:39:10 GMT", "version": "v1" } ]
2017-11-29
[ [ "Morerio", "Pietro", "" ], [ "Cavazza", "Jacopo", "" ], [ "Murino", "Vittorio", "" ] ]
In this work, we face the problem of unsupervised domain adaptation with a novel deep learning approach which leverages on our finding that entropy minimization is induced by the optimal alignment of second order statistics between source and target domains. We formally demonstrate this hypothesis and, aiming at achiev...
2006.13646
Weiyu Chen
Weiyu Chen, Haiyang Ding, Shilian Wang, Daniel Benevides da Costa, Fengkui Gong and Pedro Henrique Juliano Nardelli
Backscatter Cooperation in NOMA Communications Systems
31 pages, 6 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a backscatter cooperation (BC) scheme is proposed for non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate the performance of the proposed BC-NOMA ...
[ { "created": "Wed, 24 Jun 2020 11:40:59 GMT", "version": "v1" } ]
2020-06-25
[ [ "Chen", "Weiyu", "" ], [ "Ding", "Haiyang", "" ], [ "Wang", "Shilian", "" ], [ "da Costa", "Daniel Benevides", "" ], [ "Gong", "Fengkui", "" ], [ "Nardelli", "Pedro Henrique Juliano", "" ] ]
In this paper, a backscatter cooperation (BC) scheme is proposed for non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate the performance of the proposed BC-NOMA sc...
1906.07953
Robin Haunschild
Jian Du, Peixin Li, Robin Haunschild, Yinan Sun, and Xiaoli Tang
Paper-Patent Citation Linkages as Early Signs for Predicting Delayed Recognized Knowledge: Macro and Micro Evidence
21 pages, 8 figures, and 4 tables; previous version was presented at the ISSI 2019 in Rome, Italy; current version has been accepted for publication in Journal of Informetrics
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-f...
[ { "created": "Wed, 19 Jun 2019 07:45:43 GMT", "version": "v1" }, { "created": "Mon, 20 Jan 2020 13:19:43 GMT", "version": "v2" } ]
2020-01-22
[ [ "Du", "Jian", "" ], [ "Li", "Peixin", "" ], [ "Haunschild", "Robin", "" ], [ "Sun", "Yinan", "" ], [ "Tang", "Xiaoli", "" ] ]
In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-fre...
2004.02166
Suman Banerjee
Suman Banerjee
Designing and Connectivity Checking of Implicit Social Networks from the User-Item Rating Data
null
null
null
null
cs.SI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
\emph{Implicit Social Network} is a connected social structure among a group of persons, where two of them are linked if they have some common interest. One real\mbox{-}life example of such networks is the implicit social network among the customers of an online commercial house, where there exists an edge between tw...
[ { "created": "Sun, 5 Apr 2020 11:44:51 GMT", "version": "v1" } ]
2020-04-07
[ [ "Banerjee", "Suman", "" ] ]
\emph{Implicit Social Network} is a connected social structure among a group of persons, where two of them are linked if they have some common interest. One real\mbox{-}life example of such networks is the implicit social network among the customers of an online commercial house, where there exists an edge between two ...
2202.13716
Claudio Canella
Claudio Canella, Sebastian Dorn, Daniel Gruss, Michael Schwarz
SFIP: Coarse-Grained Syscall-Flow-Integrity Protection in Modern Systems
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Growing code bases of modern applications have led to a steady increase in the number of vulnerabilities. Control-Flow Integrity (CFI) is one promising mitigation that is more and more widely deployed and prevents numerous exploits. CFI focuses purely on one security domain. That is, transitions between user space an...
[ { "created": "Mon, 28 Feb 2022 12:17:32 GMT", "version": "v1" } ]
2022-03-01
[ [ "Canella", "Claudio", "" ], [ "Dorn", "Sebastian", "" ], [ "Gruss", "Daniel", "" ], [ "Schwarz", "Michael", "" ] ]
Growing code bases of modern applications have led to a steady increase in the number of vulnerabilities. Control-Flow Integrity (CFI) is one promising mitigation that is more and more widely deployed and prevents numerous exploits. CFI focuses purely on one security domain. That is, transitions between user space and ...
2402.03111
R\'emi Pr\'ebet
R\'emi Pr\'ebet and Mohab Safey El Din and \'Eric Schost
Computing roadmaps in unbounded smooth real algebraic sets II: algorithm and complexity
60 pages
null
null
null
cs.SC math.AG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A roadmap for an algebraic set $V$ defined by polynomials with coefficients in some real field, say $\mathbb{R}$, is an algebraic curve contained in $V$ whose intersection with all connected components of $V\cap\mathbb{R}^{n}$ is connected. These objects, introduced by Canny, can be used to answer connectivity querie...
[ { "created": "Mon, 5 Feb 2024 15:44:16 GMT", "version": "v1" } ]
2024-02-06
[ [ "Prébet", "Rémi", "" ], [ "Din", "Mohab Safey El", "" ], [ "Schost", "Éric", "" ] ]
A roadmap for an algebraic set $V$ defined by polynomials with coefficients in some real field, say $\mathbb{R}$, is an algebraic curve contained in $V$ whose intersection with all connected components of $V\cap\mathbb{R}^{n}$ is connected. These objects, introduced by Canny, can be used to answer connectivity queries ...
1810.07791
Dominika Woszczyk
Dominika Woszczyk, Gerasimos Spanakis
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
16 pages
null
null
null
cs.CY cs.HC cs.LG cs.NE stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Urbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that could help in decision making. This paper describes the creation of an open-source simulation based on an existing Dutch liveability score ...
[ { "created": "Sat, 13 Oct 2018 15:19:41 GMT", "version": "v1" } ]
2018-10-19
[ [ "Woszczyk", "Dominika", "" ], [ "Spanakis", "Gerasimos", "" ] ]
Urbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that could help in decision making. This paper describes the creation of an open-source simulation based on an existing Dutch liveability score wi...
2210.01633
Michael Cohen
Michael K. Cohen, Samuel Daulton, Michael A. Osborne
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
NeurIPS 2022; 9 pages + appendices
Adv.Neur.Info.Proc.Sys. 35 (2022) 8118-8129
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Gaussian processes (GPs) produce good probabilistic models of functions, but most GP kernels require $O((n+m)n^2)$ time, where $n$ is the number of data points and $m$ the number of predictive locations. We present a new kernel that allows for Gaussian process regression in $O((n+m)\log(n+m))$ time. Our "binary tree"...
[ { "created": "Tue, 4 Oct 2022 14:30:06 GMT", "version": "v1" } ]
2023-04-03
[ [ "Cohen", "Michael K.", "" ], [ "Daulton", "Samuel", "" ], [ "Osborne", "Michael A.", "" ] ]
Gaussian processes (GPs) produce good probabilistic models of functions, but most GP kernels require $O((n+m)n^2)$ time, where $n$ is the number of data points and $m$ the number of predictive locations. We present a new kernel that allows for Gaussian process regression in $O((n+m)\log(n+m))$ time. Our "binary tree" k...
2006.01938
Tenzin Singhay Bhotia
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings
TACL 2020
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Word embeddings are the standard model for semantic and syntactic representations of words. Unfortunately, these models have been shown to exhibit undesirable word associations resulting from gender, racial, and religious biases. Existing post-processing methods for debiasing word embeddings are unable to mitigate ge...
[ { "created": "Tue, 2 Jun 2020 20:50:43 GMT", "version": "v1" } ]
2020-06-04
[ [ "Kumar", "Vaibhav", "" ], [ "Bhotia", "Tenzin Singhay", "" ], [ "Kumar", "Vaibhav", "" ], [ "Chakraborty", "Tanmoy", "" ] ]
Word embeddings are the standard model for semantic and syntactic representations of words. Unfortunately, these models have been shown to exhibit undesirable word associations resulting from gender, racial, and religious biases. Existing post-processing methods for debiasing word embeddings are unable to mitigate gend...
2403.19930
Shulin Liu
Shulin Liu, Chengcheng Xu, Hao Liu, Tinghao Yu, Tao Yang
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
The recent success of Large Language Models (LLMs) has garnered significant attention in both academia and industry. Prior research on LLMs has primarily focused on enhancing or leveraging their generalization capabilities in zero- and few-shot settings. However, there has been limited investigation into effectively ...
[ { "created": "Fri, 29 Mar 2024 02:36:54 GMT", "version": "v1" } ]
2024-04-01
[ [ "Liu", "Shulin", "" ], [ "Xu", "Chengcheng", "" ], [ "Liu", "Hao", "" ], [ "Yu", "Tinghao", "" ], [ "Yang", "Tao", "" ] ]
The recent success of Large Language Models (LLMs) has garnered significant attention in both academia and industry. Prior research on LLMs has primarily focused on enhancing or leveraging their generalization capabilities in zero- and few-shot settings. However, there has been limited investigation into effectively fi...
2102.02938
Stephen MacDonell
Stephen G. MacDonell
The Impact of Sampling and Rule Set Size on Generated Fuzzy Inference System Predictive Accuracy: Analysis of a Software Engineering Data Set
Conference paper, 7 pages, 5 tables, 7 figures
Proceedings of the 12th Engineering Applications of Neural Networks (EANN)/7th Artificial Intelligence Applications and Innovations (AIAI) Joint Conferences (EANN-AIAI2011)
10.1007/978-3-642-23960-1_43
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software project management makes extensive use of predictive modeling to estimate product size, defect proneness and development effort. Although uncertainty is acknowledged in these tasks, fuzzy inference systems, designed to cope well with uncertainty, have received only limited attention in the software engineeri...
[ { "created": "Fri, 5 Feb 2021 00:42:52 GMT", "version": "v1" } ]
2021-02-08
[ [ "MacDonell", "Stephen G.", "" ] ]
Software project management makes extensive use of predictive modeling to estimate product size, defect proneness and development effort. Although uncertainty is acknowledged in these tasks, fuzzy inference systems, designed to cope well with uncertainty, have received only limited attention in the software engineering...
2303.07230
Fatemeh Hadadi
Fatemeh Hadadi, Joshua H. Dawes, Donghwan Shin, Domenico Bianculli, Lionel Briand
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
Accepted by EMSE'24
Empir Software Eng 29, 105 (2024)
10.1007/s10664-024-10501-4
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to automatically predict failures at run time. Several Machine Learning (ML) techniques, including traditional ML and Deep Learning (DL), have be...
[ { "created": "Mon, 13 Mar 2023 16:04:14 GMT", "version": "v1" }, { "created": "Thu, 26 Oct 2023 20:07:45 GMT", "version": "v2" }, { "created": "Tue, 30 Apr 2024 16:25:17 GMT", "version": "v3" }, { "created": "Mon, 24 Jun 2024 04:36:05 GMT", "version": "v4" } ]
2024-06-25
[ [ "Hadadi", "Fatemeh", "" ], [ "Dawes", "Joshua H.", "" ], [ "Shin", "Donghwan", "" ], [ "Bianculli", "Domenico", "" ], [ "Briand", "Lionel", "" ] ]
With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to automatically predict failures at run time. Several Machine Learning (ML) techniques, including traditional ML and Deep Learning (DL), have been...
1907.01201
Qinmeng Zou
Qinmeng Zou and Frederic Magoules
Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling
null
17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), 2018, IEEE
10.1109/dcabes.2018.00081
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the distributed convergence detection problem in asynchronous iterations. A modified recursive doubling algorithm is investigated in order to adapt to the non-power-of-two case. Some convergence detection algorithms are illustrated based on the reduction operation. Finally, a concluding discussio...
[ { "created": "Tue, 2 Jul 2019 07:04:31 GMT", "version": "v1" } ]
2019-07-12
[ [ "Zou", "Qinmeng", "" ], [ "Magoules", "Frederic", "" ] ]
This paper addresses the distributed convergence detection problem in asynchronous iterations. A modified recursive doubling algorithm is investigated in order to adapt to the non-power-of-two case. Some convergence detection algorithms are illustrated based on the reduction operation. Finally, a concluding discussion ...
2307.09020
Sunder Ali Khowaja
Sunder Ali Khowaja, Lewis Nkenyereye, Ghulam Mujtaba, Ik Hyun Lee, Giancarlo Fortino, Kapal Dev
FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer
21 pages, 6 figures, 2 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
With the surge in emerging technologies such as Metaverse, spatial computing, and generative AI, the application of facial style transfer has gained a lot of interest from researchers as well as startups enthusiasts alike. StyleGAN methods have paved the way for transfer-learning strategies that could reduce the depe...
[ { "created": "Tue, 18 Jul 2023 07:20:31 GMT", "version": "v1" }, { "created": "Thu, 19 Oct 2023 13:51:08 GMT", "version": "v2" }, { "created": "Tue, 2 Apr 2024 15:46:19 GMT", "version": "v3" } ]
2024-04-03
[ [ "Khowaja", "Sunder Ali", "" ], [ "Nkenyereye", "Lewis", "" ], [ "Mujtaba", "Ghulam", "" ], [ "Lee", "Ik Hyun", "" ], [ "Fortino", "Giancarlo", "" ], [ "Dev", "Kapal", "" ] ]
With the surge in emerging technologies such as Metaverse, spatial computing, and generative AI, the application of facial style transfer has gained a lot of interest from researchers as well as startups enthusiasts alike. StyleGAN methods have paved the way for transfer-learning strategies that could reduce the depend...
1511.03774
Lijie Chen
Lijie Chen, Jian Li
On the Optimal Sample Complexity for Best Arm Identification
null
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the best arm identification (BEST-1-ARM) problem, which is defined as follows. We are given $n$ stochastic bandit arms. The $i$th arm has a reward distribution $D_i$ with an unknown mean $\mu_{i}$. Upon each play of the $i$th arm, we can get a reward, sampled i.i.d. from $D_i$. We would like to identify the ...
[ { "created": "Thu, 12 Nov 2015 04:49:46 GMT", "version": "v1" }, { "created": "Fri, 13 Nov 2015 05:47:39 GMT", "version": "v2" }, { "created": "Tue, 23 Aug 2016 18:05:29 GMT", "version": "v3" } ]
2016-08-24
[ [ "Chen", "Lijie", "" ], [ "Li", "Jian", "" ] ]
We study the best arm identification (BEST-1-ARM) problem, which is defined as follows. We are given $n$ stochastic bandit arms. The $i$th arm has a reward distribution $D_i$ with an unknown mean $\mu_{i}$. Upon each play of the $i$th arm, we can get a reward, sampled i.i.d. from $D_i$. We would like to identify the ar...
1110.1734
Debaditya Ghosh
Debaditya Ghosh, Pritam Majumder, Ayan Kumar Das
A New Energy Efficient Approach Towards WASN Routing with Modified QCS Protocol
18 pages, 14 figures
International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) Vol.2, No.3, September 2011
10.5121/ijasuc.2011.230
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In today's world Wireless Ad-hoc sensor network, consists of small sensor nodes having limited resources, has a great potential to solve problems in various domain including disaster management. In this paper "QCS-protocol" is modified which was introduced in our previous paper [1] and named as "Modified QCS-protocol...
[ { "created": "Sat, 8 Oct 2011 13:30:09 GMT", "version": "v1" } ]
2011-10-11
[ [ "Ghosh", "Debaditya", "" ], [ "Majumder", "Pritam", "" ], [ "Das", "Ayan Kumar", "" ] ]
In today's world Wireless Ad-hoc sensor network, consists of small sensor nodes having limited resources, has a great potential to solve problems in various domain including disaster management. In this paper "QCS-protocol" is modified which was introduced in our previous paper [1] and named as "Modified QCS-protocol"....
2403.18882
Igor Ivkic
Igor Ivki\'c, Tobias Buhmann, Burkhard List, Clemens Gnauer
Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service
In Proceedings of the 14th International Conference on Cloud Computing and Services Science (CLOSER 2024). Angers, France
null
null
null
cs.OH
http://creativecommons.org/licenses/by/4.0/
The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally ...
[ { "created": "Wed, 27 Mar 2024 13:52:53 GMT", "version": "v1" } ]
2024-03-29
[ [ "Ivkić", "Igor", "" ], [ "Buhmann", "Tobias", "" ], [ "List", "Burkhard", "" ], [ "Gnauer", "Clemens", "" ] ]
The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally da...
1711.07710
Arindam Khan
Waldo G\'alvez and Fabrizio Grandoni and Sandy Heydrich and Salvatore Ingala and Arindam Khan and Andreas Wiese
Approximating Geometric Knapsack via L-packings
64pages, full version of FOCS 2017 paper
null
null
null
cs.DS cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the two-dimensional geometric knapsack problem (2DK) in which we are given a set of n axis-aligned rectangular items, each one with an associated profit, and an axis-aligned square knapsack. The goal is to find a (non-overlapping) packing of a maximum profit subset of items inside the knapsack (without rotat...
[ { "created": "Tue, 21 Nov 2017 10:46:35 GMT", "version": "v1" } ]
2017-11-22
[ [ "Gálvez", "Waldo", "" ], [ "Grandoni", "Fabrizio", "" ], [ "Heydrich", "Sandy", "" ], [ "Ingala", "Salvatore", "" ], [ "Khan", "Arindam", "" ], [ "Wiese", "Andreas", "" ] ]
We study the two-dimensional geometric knapsack problem (2DK) in which we are given a set of n axis-aligned rectangular items, each one with an associated profit, and an axis-aligned square knapsack. The goal is to find a (non-overlapping) packing of a maximum profit subset of items inside the knapsack (without rotatin...
1208.2766
EPTCS
Gabriele Fici (Universit\'e Nice Sophia Antipolis, France), Francesca Fiorenzi (Universit\'e Paris-Sud 11, France)
Topological properties of cellular automata on trees
In Proceedings AUTOMATA&JAC 2012, arXiv:1208.2498
EPTCS 90, 2012, pp. 255-266
10.4204/EPTCS.90.20
null
cs.FL cs.CC cs.DM nlin.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.
[ { "created": "Tue, 14 Aug 2012 01:55:58 GMT", "version": "v1" } ]
2012-08-15
[ [ "Fici", "Gabriele", "", "Université Nice Sophia Antipolis, France" ], [ "Fiorenzi", "Francesca", "", "Université Paris-Sud 11, France" ] ]
We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.
2009.06343
Selahattin Serdar Helli
Selahattin Serdar Helli, \c{C}a\u{g}kan Dem\.irc\.i, Onur \c{C}oban and Anda\c{c} Hamamci
Short-Term Forecasting COVID-19 Cases In Turkey Using Long Short-Term Memory Network
4 pages,4 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
COVID-19 has been one of the most severe diseases, causing a harsh pandemic all over the world, since December 2019. The aim of this study is to evaluate the value of Long Short-Term Memory (LSTM) Networks in forecasting the total number of COVID-19 cases in Turkey. The COVID-19 data for 30 days, between March 24 and...
[ { "created": "Mon, 14 Sep 2020 12:01:40 GMT", "version": "v1" }, { "created": "Wed, 16 Sep 2020 12:10:32 GMT", "version": "v2" } ]
2020-09-17
[ [ "Helli", "Selahattin Serdar", "" ], [ "Demirci", "Çağkan", "" ], [ "Çoban", "Onur", "" ], [ "Hamamci", "Andaç", "" ] ]
COVID-19 has been one of the most severe diseases, causing a harsh pandemic all over the world, since December 2019. The aim of this study is to evaluate the value of Long Short-Term Memory (LSTM) Networks in forecasting the total number of COVID-19 cases in Turkey. The COVID-19 data for 30 days, between March 24 and A...
2312.03430
Zhuoyan Liu
Zhuoyan Liu, Bo Wang, Lizhi Wang, Chenyu Mao, Ye Li
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
10 pages, 5 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Multimodal semantic segmentation is developing rapidly, but the modality of RGB-Polarization remains underexplored. To delve into this problem, we construct a UPLight RGB-P segmentation benchmark with 12 typical underwater semantic classes. In this work, we design the ShareCMP, an RGB-P semantic segmentation framewor...
[ { "created": "Wed, 6 Dec 2023 11:25:40 GMT", "version": "v1" }, { "created": "Sun, 10 Dec 2023 03:02:22 GMT", "version": "v2" } ]
2023-12-12
[ [ "Liu", "Zhuoyan", "" ], [ "Wang", "Bo", "" ], [ "Wang", "Lizhi", "" ], [ "Mao", "Chenyu", "" ], [ "Li", "Ye", "" ] ]
Multimodal semantic segmentation is developing rapidly, but the modality of RGB-Polarization remains underexplored. To delve into this problem, we construct a UPLight RGB-P segmentation benchmark with 12 typical underwater semantic classes. In this work, we design the ShareCMP, an RGB-P semantic segmentation framework ...
1112.1335
Guodong Shi
Guodong Shi, Yiguang Hong and K. H. Johansson
Connectivity and Set Tracking of Multi-agent Systems Guided by Multiple Moving Leaders
null
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate distributed multi-agent tracking of a convex set specified by multiple moving leaders with unmeasurable velocities. Various jointly-connected interaction topologies of the follower agents with uncertainties are considered in the study of set tracking. Based on the connectivity of the tim...
[ { "created": "Tue, 6 Dec 2011 16:30:35 GMT", "version": "v1" } ]
2015-03-19
[ [ "Shi", "Guodong", "" ], [ "Hong", "Yiguang", "" ], [ "Johansson", "K. H.", "" ] ]
In this paper, we investigate distributed multi-agent tracking of a convex set specified by multiple moving leaders with unmeasurable velocities. Various jointly-connected interaction topologies of the follower agents with uncertainties are considered in the study of set tracking. Based on the connectivity of the time-...
2103.17182
Zeke Xie
Zeke Xie, Li Yuan, Zhanxing Zhu, and Masashi Sugiyama
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
ICML 2021; 20 pages; 13 figures; We fixed some typos in the updated version
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well-known that stochastic gradient noise (SGN) acts as implicit regularization for deep learning and is essentially important for both optimization and generalization of deep networks. Some works attempted to artificially simulate SGN by injecting random noise to improve deep learning. However, it turned out t...
[ { "created": "Wed, 31 Mar 2021 16:08:06 GMT", "version": "v1" }, { "created": "Mon, 10 May 2021 12:21:32 GMT", "version": "v2" }, { "created": "Sun, 6 Jun 2021 15:19:52 GMT", "version": "v3" }, { "created": "Tue, 12 Oct 2021 05:39:54 GMT", "version": "v4" }, { "cr...
2022-08-31
[ [ "Xie", "Zeke", "" ], [ "Yuan", "Li", "" ], [ "Zhu", "Zhanxing", "" ], [ "Sugiyama", "Masashi", "" ] ]
It is well-known that stochastic gradient noise (SGN) acts as implicit regularization for deep learning and is essentially important for both optimization and generalization of deep networks. Some works attempted to artificially simulate SGN by injecting random noise to improve deep learning. However, it turned out tha...
2311.17216
Hang Li
Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Accepted to CVPR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion-based models have gained significant popularity for text-to-image generation due to their exceptional image-generation capabilities. A risk with these models is the potential generation of inappropriate content, such as biased or harmful images. However, the underlying reasons for generating such undesired ...
[ { "created": "Tue, 28 Nov 2023 20:40:45 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2024 14:58:59 GMT", "version": "v2" } ]
2024-03-29
[ [ "Li", "Hang", "" ], [ "Shen", "Chengzhi", "" ], [ "Torr", "Philip", "" ], [ "Tresp", "Volker", "" ], [ "Gu", "Jindong", "" ] ]
Diffusion-based models have gained significant popularity for text-to-image generation due to their exceptional image-generation capabilities. A risk with these models is the potential generation of inappropriate content, such as biased or harmful images. However, the underlying reasons for generating such undesired co...
2211.14308
Guillaume Le Moing
Guillaume Le Moing and Jean Ponce and Cordelia Schmid
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction
Accepted to ICCV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multiple layers combining object masks and a small set of control points. The layer structure is shared across all frames in each video to build...
[ { "created": "Fri, 25 Nov 2022 18:59:46 GMT", "version": "v1" }, { "created": "Tue, 21 Mar 2023 15:22:30 GMT", "version": "v2" }, { "created": "Tue, 29 Aug 2023 07:58:49 GMT", "version": "v3" } ]
2023-08-30
[ [ "Moing", "Guillaume Le", "" ], [ "Ponce", "Jean", "" ], [ "Schmid", "Cordelia", "" ] ]
This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multiple layers combining object masks and a small set of control points. The layer structure is shared across all frames in each video to build d...
2207.08569
Kosmas Dimitropoulos
Dimitrios Konstantinidis, Ilias Papastratis, Kosmas Dimitropoulos, Petros Daras
Multi-manifold Attention for Vision Transformers
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://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descriptive patch embeddings and hierarchical structures, there is still li...
[ { "created": "Mon, 18 Jul 2022 12:53:53 GMT", "version": "v1" }, { "created": "Wed, 30 Nov 2022 13:45:41 GMT", "version": "v2" }, { "created": "Tue, 5 Sep 2023 09:05:15 GMT", "version": "v3" } ]
2023-09-06
[ [ "Konstantinidis", "Dimitrios", "" ], [ "Papastratis", "Ilias", "" ], [ "Dimitropoulos", "Kosmas", "" ], [ "Daras", "Petros", "" ] ]
Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descriptive patch embeddings and hierarchical structures, there is still limi...
2102.04925
Chuhan Wu
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
null
null
10.1038/s41467-022-30714-9
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Graph neural network (GNN) is widely used for recommendation to model high-order interactions between users and items. Existing GNN-based recommendation methods rely on centralized storage of user-item graphs and centralized model learning. However, user data is privacy-sensitive, and the centralized storage of user-...
[ { "created": "Tue, 9 Feb 2021 16:30:53 GMT", "version": "v1" }, { "created": "Mon, 1 Mar 2021 08:27:46 GMT", "version": "v2" } ]
2022-10-12
[ [ "Wu", "Chuhan", "" ], [ "Wu", "Fangzhao", "" ], [ "Cao", "Yang", "" ], [ "Huang", "Yongfeng", "" ], [ "Xie", "Xing", "" ] ]
Graph neural network (GNN) is widely used for recommendation to model high-order interactions between users and items. Existing GNN-based recommendation methods rely on centralized storage of user-item graphs and centralized model learning. However, user data is privacy-sensitive, and the centralized storage of user-it...
2307.07699
Joohyung Lee
Adam Ishay, Zhun Yang, Joohyung Lee
Leveraging Large Language Models to Generate Answer Set Programs
17 pages, KR 2023
null
null
null
cs.AI cs.CL cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning capabilities are limited and relatively shallow, despite the application of various pro...
[ { "created": "Sat, 15 Jul 2023 03:40:55 GMT", "version": "v1" } ]
2023-07-18
[ [ "Ishay", "Adam", "" ], [ "Yang", "Zhun", "" ], [ "Lee", "Joohyung", "" ] ]
Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning capabilities are limited and relatively shallow, despite the application of various promp...
1904.03084
Lukas Schmelzeisen
Ipek Baris and Lukas Schmelzeisen and Steffen Staab
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
5 pages, 2 figures, 3 tables. Accepted for publication at SemEval@NAACL-HLT 2019
SemEval@NAACL-HLT (2019) 1105-1109
10.18653/v1/S19-2193
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A is to classify the type of interaction between a rumorous social media post and a reply post as support, query, deny, or comment. The goal ...
[ { "created": "Fri, 5 Apr 2019 14:25:25 GMT", "version": "v1" } ]
2020-11-30
[ [ "Baris", "Ipek", "" ], [ "Schmelzeisen", "Lukas", "" ], [ "Staab", "Steffen", "" ] ]
This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A is to classify the type of interaction between a rumorous social media post and a reply post as support, query, deny, or comment. The goal of...
2210.06436
Yuesong Shen
Yuesong Shen, Daniel Cremers
Deep Combinatorial Aggregation
NeurIPS 2022
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural networks are known to produce poor uncertainty estimations, and a variety of approaches have been proposed to remedy this issue. This includes deep ensemble, a simple and effective method that achieves state-of-the-art results for uncertainty-aware learning tasks. In this work, we explore a combinatorial gener...
[ { "created": "Wed, 12 Oct 2022 17:35:03 GMT", "version": "v1" } ]
2022-10-13
[ [ "Shen", "Yuesong", "" ], [ "Cremers", "Daniel", "" ] ]
Neural networks are known to produce poor uncertainty estimations, and a variety of approaches have been proposed to remedy this issue. This includes deep ensemble, a simple and effective method that achieves state-of-the-art results for uncertainty-aware learning tasks. In this work, we explore a combinatorial general...
2405.03228
Jinying Xiao
Jinying Xiao, Ping Li, Jie Nie
TED: Accelerate Model Training by Internal Generalization
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models have demonstrated strong performance in recent years, but the high cost of training drives the need for efficient methods to compress dataset sizes. We propose TED pruning, a method that addresses the challenge of overfitting under high pruning ratios by quantifying the model's ability to improv...
[ { "created": "Mon, 6 May 2024 07:40:13 GMT", "version": "v1" } ]
2024-05-07
[ [ "Xiao", "Jinying", "" ], [ "Li", "Ping", "" ], [ "Nie", "Jie", "" ] ]
Large language models have demonstrated strong performance in recent years, but the high cost of training drives the need for efficient methods to compress dataset sizes. We propose TED pruning, a method that addresses the challenge of overfitting under high pruning ratios by quantifying the model's ability to improve ...
2111.03322
Mouhammad Sakr
Swen Jacobs (1), Mouhammad Sakr (2), Marcus V\"olp (2) ((1) CISPA Helmholtz Center for Information Security, Saarbr\"ucken, Germany, (2) SnT, University of Luxembourg)
Automatic Repair and Deadlock Detection for Parameterized Systems
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We present an algorithm for the repair of parameterized systems. The repair problem is, for a given process implementation, to find a refinement such that a given safety property is satisfied by the resulting parameterized system, and deadlocks are avoided. Our algorithm uses a parameterized model checker to determin...
[ { "created": "Fri, 5 Nov 2021 08:46:22 GMT", "version": "v1" }, { "created": "Tue, 19 Jul 2022 10:46:08 GMT", "version": "v2" }, { "created": "Thu, 28 Jul 2022 13:49:29 GMT", "version": "v3" } ]
2022-07-29
[ [ "Jacobs", "Swen", "" ], [ "Sakr", "Mouhammad", "" ], [ "Völp", "Marcus", "" ] ]
We present an algorithm for the repair of parameterized systems. The repair problem is, for a given process implementation, to find a refinement such that a given safety property is satisfied by the resulting parameterized system, and deadlocks are avoided. Our algorithm uses a parameterized model checker to determine ...
2406.10730
Pedro Hack
Pedro Hack
Order-theoretic models for decision-making: Learning, optimization, complexity and computation
PhD thesis
null
10.18725/OPARU-52612
null
cs.IT cs.AI cs.LO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The study of intelligent systems explains behaviour in terms of economic rationality. This results in an optimization principle involving a function or utility, which states that the system will evolve until the configuration of maximum utility is achieved. Recently, this theory has incorporated constraints, i.e., th...
[ { "created": "Sat, 15 Jun 2024 20:20:43 GMT", "version": "v1" } ]
2024-06-18
[ [ "Hack", "Pedro", "" ] ]
The study of intelligent systems explains behaviour in terms of economic rationality. This results in an optimization principle involving a function or utility, which states that the system will evolve until the configuration of maximum utility is achieved. Recently, this theory has incorporated constraints, i.e., the ...
1908.06062
Daniel Liu
Daniel Liu, Ronald Yu, Hao Su
Adversarial shape perturbations on 3D point clouds
18 pages, accepted to the 2020 ECCV workshop on Adversarial Robustness in the Real World, source code available at this https url: https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects
null
null
null
cs.CV cs.CR cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The importance of training robust neural network grows as 3D data is increasingly utilized in deep learning for vision tasks in robotics, drone control, and autonomous driving. One commonly used 3D data type is 3D point clouds, which describe shape information. We examine the problem of creating robust models from th...
[ { "created": "Fri, 16 Aug 2019 17:19:34 GMT", "version": "v1" }, { "created": "Mon, 28 Sep 2020 00:04:59 GMT", "version": "v2" }, { "created": "Fri, 23 Oct 2020 04:55:16 GMT", "version": "v3" } ]
2020-10-26
[ [ "Liu", "Daniel", "" ], [ "Yu", "Ronald", "" ], [ "Su", "Hao", "" ] ]
The importance of training robust neural network grows as 3D data is increasingly utilized in deep learning for vision tasks in robotics, drone control, and autonomous driving. One commonly used 3D data type is 3D point clouds, which describe shape information. We examine the problem of creating robust models from the ...
2402.19421
Xingchen Xu
Lijia Ma, Xingchen Xu, Yong Tan
Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines
38 pages, 2 figures, 7 tables
null
null
null
cs.IR cs.AI econ.GN q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utilizing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), exemplified by Bing Chat, marks an evolutionary leap in the se...
[ { "created": "Thu, 29 Feb 2024 18:20:37 GMT", "version": "v1" } ]
2024-03-01
[ [ "Ma", "Lijia", "" ], [ "Xu", "Xingchen", "" ], [ "Tan", "Yong", "" ] ]
In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utilizing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), exemplified by Bing Chat, marks an evolutionary leap in the sear...
2310.12362
Ruisi Zhang
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
accept to usenix security 2024
null
null
null
cs.CR cs.CL
http://creativecommons.org/licenses/by/4.0/
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs). Synthesizing human-like content using LLMs necessitates vast computational resources and extensive datasets, encapsulating critical intellectual property (IP). However, the generat...
[ { "created": "Wed, 18 Oct 2023 22:14:37 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2024 00:16:46 GMT", "version": "v2" } ]
2024-04-09
[ [ "Zhang", "Ruisi", "" ], [ "Hussain", "Shehzeen Samarah", "" ], [ "Neekhara", "Paarth", "" ], [ "Koushanfar", "Farinaz", "" ] ]
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs). Synthesizing human-like content using LLMs necessitates vast computational resources and extensive datasets, encapsulating critical intellectual property (IP). However, the generated...
2301.02423
Shuai Liu
Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang and Xiangyu Chang
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
null
null
null
null
cs.LG q-bio.NC
http://creativecommons.org/licenses/by/4.0/
Identifying functional connectivity biomarkers of major depressive disorder (MDD) patients is essential to advance understanding of the disorder mechanisms and early intervention. However, due to the small sample size and the high dimension of available neuroimaging data, the performance of existing methods is often ...
[ { "created": "Fri, 6 Jan 2023 08:58:06 GMT", "version": "v1" } ]
2023-01-09
[ [ "Liu", "Shuai", "" ], [ "Guo", "Xiao", "" ], [ "Qi", "Shun", "" ], [ "Wang", "Huaning", "" ], [ "Chang", "Xiangyu", "" ] ]
Identifying functional connectivity biomarkers of major depressive disorder (MDD) patients is essential to advance understanding of the disorder mechanisms and early intervention. However, due to the small sample size and the high dimension of available neuroimaging data, the performance of existing methods is often li...
2202.10554
Tugdual Ceillier
Arthur Vilhelm, Matthieu Limbert, Cl\'ement Audebert, Tugdual Ceillier
Ensemble Learning techniques for object detection in high-resolution satellite images
Conference on Artificial Intelligence for Defense, Nov 2019, Rennes, France
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ensembling is a method that aims to maximize the detection performance by fusing individual detectors. While rarely mentioned in deep-learning articles applied to remote sensing, ensembling methods have been widely used to achieve high scores in recent data science com-petitions, such as Kaggle. The few remote sensin...
[ { "created": "Wed, 16 Feb 2022 10:19:21 GMT", "version": "v1" } ]
2022-02-23
[ [ "Vilhelm", "Arthur", "" ], [ "Limbert", "Matthieu", "" ], [ "Audebert", "Clément", "" ], [ "Ceillier", "Tugdual", "" ] ]
Ensembling is a method that aims to maximize the detection performance by fusing individual detectors. While rarely mentioned in deep-learning articles applied to remote sensing, ensembling methods have been widely used to achieve high scores in recent data science com-petitions, such as Kaggle. The few remote sensing ...
2203.06053
Saeed Mohammadi
Saeed Mohammadi and Mohammad Reza Hesamzadeh
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets
5 pages, 6 figures
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prosumer operators are dealing with extensive challenges to participate in short-term electricity markets while taking uncertainties into account. Challenges such as variation in demand, solar energy, wind power, and electricity prices as well as faster response time in intraday electricity markets. Machine learning ...
[ { "created": "Fri, 11 Mar 2022 16:29:02 GMT", "version": "v1" } ]
2022-03-14
[ [ "Mohammadi", "Saeed", "" ], [ "Hesamzadeh", "Mohammad Reza", "" ] ]
Prosumer operators are dealing with extensive challenges to participate in short-term electricity markets while taking uncertainties into account. Challenges such as variation in demand, solar energy, wind power, and electricity prices as well as faster response time in intraday electricity markets. Machine learning ap...
2301.11683
Alec Edwards
Alessandro Abate, Alec Edwards, Mirco Giacobbe
Neural Abstractions
NeurIPS 2022
null
null
null
cs.LO cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel method for the safety verification of nonlinear dynamical models that uses neural networks to represent abstractions of their dynamics. Neural networks have extensively been used before as approximators; in this work, we make a step further and use them for the first time as abstractions. For a giv...
[ { "created": "Fri, 27 Jan 2023 12:38:09 GMT", "version": "v1" } ]
2023-01-30
[ [ "Abate", "Alessandro", "" ], [ "Edwards", "Alec", "" ], [ "Giacobbe", "Mirco", "" ] ]
We present a novel method for the safety verification of nonlinear dynamical models that uses neural networks to represent abstractions of their dynamics. Neural networks have extensively been used before as approximators; in this work, we make a step further and use them for the first time as abstractions. For a given...
0801.4714
Miroslava Sotakova
Miroslava Sotakova
Breaking One-Round Key-Agreement Protocols in the Random Oracle Model
6 pages
null
null
null
cs.CC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study one-round key-agreement protocols analogous to Merkle's puzzles in the random oracle model. The players Alice and Bob are allowed to query a random permutation oracle $n$ times and upon their queries and communication, they both output the same key with high probability. We prove that Eve can a...
[ { "created": "Wed, 30 Jan 2008 19:34:34 GMT", "version": "v1" }, { "created": "Wed, 12 Mar 2008 21:02:49 GMT", "version": "v2" }, { "created": "Tue, 24 Mar 2009 12:17:31 GMT", "version": "v3" } ]
2009-03-24
[ [ "Sotakova", "Miroslava", "" ] ]
In this paper we study one-round key-agreement protocols analogous to Merkle's puzzles in the random oracle model. The players Alice and Bob are allowed to query a random permutation oracle $n$ times and upon their queries and communication, they both output the same key with high probability. We prove that Eve can alw...
0809.5096
Hong Ju Park
Hong Ju Park and Ender Ayanoglu
Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming
The maximum achievable diversity order from given convolutional code with any interleaver is shown by using the Singleton bound
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, diversity analysis of bit-interleaved coded multiple beamforming (BICMB) is extended to the case of general spatial interleavers, removing a condition on their previously known design criteria and quantifying the resulting diversity order. The diversity order is determined by a parameter Qmax which is ...
[ { "created": "Tue, 30 Sep 2008 00:14:10 GMT", "version": "v1" }, { "created": "Wed, 29 Oct 2008 18:00:01 GMT", "version": "v2" }, { "created": "Tue, 3 Feb 2009 01:49:02 GMT", "version": "v3" } ]
2009-09-29
[ [ "Park", "Hong Ju", "" ], [ "Ayanoglu", "Ender", "" ] ]
In this paper, diversity analysis of bit-interleaved coded multiple beamforming (BICMB) is extended to the case of general spatial interleavers, removing a condition on their previously known design criteria and quantifying the resulting diversity order. The diversity order is determined by a parameter Qmax which is in...
1906.02292
Konstantinos Slavakis
Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Sarah F. Muldoon, John Medaglia
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian
null
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series analysis. Notwithstanding, most of the brain-network clustering methods revolve around state clustering ...
[ { "created": "Wed, 5 Jun 2019 20:19:05 GMT", "version": "v1" } ]
2019-06-07
[ [ "Ye", "Cong", "" ], [ "Slavakis", "Konstantinos", "" ], [ "Patil", "Pratik V.", "" ], [ "Muldoon", "Sarah F.", "" ], [ "Medaglia", "John", "" ] ]
Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series analysis. Notwithstanding, most of the brain-network clustering methods revolve around state clustering an...
2407.05000
Shaowen Wang
Shaowen Wang, Linxi Yu, Jian Li
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
null
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective alternative by fine-tuning an auxiliary low-rank model that has significantly fewer parameters. Alth...
[ { "created": "Sat, 6 Jul 2024 08:37:21 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2024 07:32:23 GMT", "version": "v2" } ]
2024-07-17
[ [ "Wang", "Shaowen", "" ], [ "Yu", "Linxi", "" ], [ "Li", "Jian", "" ] ]
Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective alternative by fine-tuning an auxiliary low-rank model that has significantly fewer parameters. Althou...
2107.12704
Staas De Jong
Staas de Jong
The cyclotactor: towards a tactile platform for musical interaction
Proceedings of the International Conference on New Interfaces for Musical Expression, 2008
null
10.5281/zenodo.1179571
null
cs.HC cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
This paper reports on work in progress on a finger-based tactile I/O device for musical interaction. Central to the device is the ability to set up cyclical relationships between tactile input and output. A direct practical application of this to musical interaction is given, using the idea to multiplex two degrees o...
[ { "created": "Tue, 27 Jul 2021 10:02:57 GMT", "version": "v1" } ]
2021-07-28
[ [ "de Jong", "Staas", "" ] ]
This paper reports on work in progress on a finger-based tactile I/O device for musical interaction. Central to the device is the ability to set up cyclical relationships between tactile input and output. A direct practical application of this to musical interaction is given, using the idea to multiplex two degrees of ...
2305.18156
Mengsay Loem
Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods
Accepted in BEA 2023
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale pre-trained language models such as GPT-3 have shown remarkable performance across various natural language processing tasks. However, applying prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks and their controllability remains underexplored. Controllability in GEC is crucial fo...
[ { "created": "Mon, 29 May 2023 15:31:29 GMT", "version": "v1" } ]
2023-05-30
[ [ "Loem", "Mengsay", "" ], [ "Kaneko", "Masahiro", "" ], [ "Takase", "Sho", "" ], [ "Okazaki", "Naoaki", "" ] ]
Large-scale pre-trained language models such as GPT-3 have shown remarkable performance across various natural language processing tasks. However, applying prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks and their controllability remains underexplored. Controllability in GEC is crucial for ...
2308.07760
Bowei He
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
Accepted for publication on CIKM2023
null
10.1145/3583780.3615135
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the continuous increase of users and items, conventional recommender systems trained on static datasets can hardly adapt to changing environments. The high-throughput data requires the model to be updated in a timely manner for capturing the user interest dynamics, which leads to the emergence of streaming recom...
[ { "created": "Tue, 15 Aug 2023 13:27:18 GMT", "version": "v1" } ]
2023-08-16
[ [ "He", "Bowei", "" ], [ "He", "Xu", "" ], [ "Zhang", "Renrui", "" ], [ "Zhang", "Yingxue", "" ], [ "Tang", "Ruiming", "" ], [ "Ma", "Chen", "" ] ]
With the continuous increase of users and items, conventional recommender systems trained on static datasets can hardly adapt to changing environments. The high-throughput data requires the model to be updated in a timely manner for capturing the user interest dynamics, which leads to the emergence of streaming recomme...
1704.08598
Phuong Nguyen
Phuong Nguyen and Klara Nahrstedt
Crowdsensing in Opportunistic Mobile Social Networks: A Context-aware and Human-centric Approach
Long version of the IEEE MASS 2015 poster abstract titled "Context-aware Crowd-sensing in Opportunistic Mobile Social Network"
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, there have been efforts to collect human contact traces during social events (e.g., conferences) using Bluetooth devices (e.g., mobile phones, iMotes). The results of these studies have enabled the ability to do the crowd-sourcing task from within the crowd, in order to answer questions, such as: wha...
[ { "created": "Thu, 27 Apr 2017 14:28:28 GMT", "version": "v1" } ]
2017-04-28
[ [ "Nguyen", "Phuong", "" ], [ "Nahrstedt", "Klara", "" ] ]
In recent years, there have been efforts to collect human contact traces during social events (e.g., conferences) using Bluetooth devices (e.g., mobile phones, iMotes). The results of these studies have enabled the ability to do the crowd-sourcing task from within the crowd, in order to answer questions, such as: what ...
2105.13655
Dabeen Lee
Dabeen Lee, Milan Vojnovic
Scheduling Jobs with Stochastic Holding Costs
Extended abstract appeared in NeurIPS 2021
null
null
null
cs.LG cs.DS math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a single-server scheduling problem for the objective of minimizing the expected cumulative holding cost incurred by jobs, where parameters defining stochastic job holding costs are unknown to the scheduler. We consider a general setting allowing for different job classes, where jobs of the same class have st...
[ { "created": "Fri, 28 May 2021 08:04:06 GMT", "version": "v1" }, { "created": "Tue, 26 Oct 2021 22:42:45 GMT", "version": "v2" }, { "created": "Wed, 21 Sep 2022 05:25:43 GMT", "version": "v3" } ]
2022-09-22
[ [ "Lee", "Dabeen", "" ], [ "Vojnovic", "Milan", "" ] ]
We study a single-server scheduling problem for the objective of minimizing the expected cumulative holding cost incurred by jobs, where parameters defining stochastic job holding costs are unknown to the scheduler. We consider a general setting allowing for different job classes, where jobs of the same class have stat...
2109.13770
Andrew Lee
Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
To appear in Findings of EMNLP 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Many statistical models have high accuracy on test benchmarks, but are not explainable, struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily integrate domain expertise. These factors limit their use, particularly in settings such as mental health, where it is difficult to annotat...
[ { "created": "Tue, 28 Sep 2021 14:45:59 GMT", "version": "v1" } ]
2021-09-29
[ [ "Lee", "Andrew", "" ], [ "Kummerfeld", "Jonathan K.", "" ], [ "An", "Lawrence C.", "" ], [ "Mihalcea", "Rada", "" ] ]
Many statistical models have high accuracy on test benchmarks, but are not explainable, struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily integrate domain expertise. These factors limit their use, particularly in settings such as mental health, where it is difficult to annotate ...