Machine Learning

Authors and titles for September 2021

[51] arXiv:2109.01050 [pdf, other]

Title: Characterizing possible failure modes in physics-informed neural networks

Aditi S. Krishnapriyan, Amir Gholami, Shandian Zhe, Robert M. Kirby, Michael W. Mahoney

Comments: 22 pages

Journal-ref: NeurIPS 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Numerical Analysis (math.NA); Computational Physics (physics.comp-ph)

[52] arXiv:2109.01081 [pdf, other]

Title: Transformer Networks for Data Augmentation of Human Physical Activity Recognition

Sandeep Ramachandra, Alexander Hoelzemann, Kristof Van Laerhoven

Comments: 5 pages, 7 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[53] arXiv:2109.01093 [pdf, other]

Title: What Users Want? WARHOL: A Generative Model for Recommendation

Jules Samaran, Ugo Tanielian, Romain Beaumont, Flavian Vasile

Comments: conflict with other editor

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)

[54] arXiv:2109.01105 [pdf, other]

Title: Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent

Muhammad Fadli Damara, Gregor Kornhardt, Peter Jung

Comments: 13 pages, 8 figures

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Signal Processing (eess.SP); Machine Learning (stat.ML)

[55] arXiv:2109.01116 [pdf, other]

Title: An Empirical Study of Graph Contrastive Learning

Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu

Comments: Accepted to NeurIPS 2021 (Datasets and Benchmarks track). Open-sourced library at this https URL

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[56] arXiv:2109.01255 [pdf, other]

Title: Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach

Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry

Subjects: Machine Learning (cs.LG); Robotics (cs.RO); Systems and Control (eess.SY)

[57] arXiv:2109.01258 [pdf, other]

Title: Estimating Demand Flexibility Using Siamese LSTM Neural Networks

Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang

Comments: Author copy of the manuscript submitted to IEEE Trans on Power Systems

Journal-ref: IEEE Transactions on Power Systems, 2022

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Applications (stat.AP)

[58] arXiv:2109.01300 [pdf, other]

Title: How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

Comments: Accepted by ICLR 2022

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)

[59] arXiv:2109.01306 [pdf, other]

Title: J-Score: A Robust Measure of Clustering Accuracy

Navid Ahmadinejad, Li Liu

Subjects: Machine Learning (cs.LG)

[60] arXiv:2109.01356 [pdf, other]

Title: Edge-featured Graph Neural Architecture Search

Shaofei Cai, Liang Li, Xinzhe Han, Zheng-jun Zha, Qingming Huang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

[61] arXiv:2109.01369 [pdf, other]

Title: Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation

Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao

Subjects: Machine Learning (cs.LG)

[62] arXiv:2109.01377 [pdf, other]

Title: A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

Comments: 45 pages, 12 figures

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)

[63] arXiv:2109.01394 [pdf, other]

Title: Topographic VAEs learn Equivariant Capsules

T. Anderson Keller, Max Welling

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)

[64] arXiv:2109.01419 [pdf, other]

Title: Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms

Bemali Wickramanayake, Zhipeng He, Chun Ouyang, Catarina Moreira, Yue Xu, Renuka Sindhgatta

Comments: Accepted manuscripts; 40 pages, 22 figures, 13 tables

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[65] arXiv:2109.01425 [pdf, other]

Title: Novel split quality measures for stratified multilabel Cross Validation with application to large and sparse gene ontology datasets

Henri Tiittanen, Liisa Holm, Petri Törönen

Comments: 15 pages, 2 figures

Journal-ref: Applied Computing and Intelligence 2022, Volume 2, Issue 1: 49-62

Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN)

[66] arXiv:2109.01451 [pdf, other]

Title: Impact of GPU uncertainty on the training of predictive deep neural networks

Maciej Pietrowski, Andrzej Gajda, Takuto Yamamoto, Taisuke Kobayashi, Lana Sinapayen, Eiji Watanabe

Comments: The results obtained in Chainer did not replicate with a different python library, pointing to a software bug rather than hardware cause. The title and discussion of the paper are therefore irrelevant to the real cause

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Performance (cs.PF)

[67] arXiv:2109.01461 [pdf, other]

Title: Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry

Ji Yang, Lu Sang, Daniel Cremers

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[68] arXiv:2109.01479 [pdf, other]

Title: LG4AV: Combining Language Models and Graph Neural Networks for Author Verification

Maximilian Stubbemann, Gerd Stumme

Comments: 9 pages, 1 figure

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[69] arXiv:2109.01494 [pdf, other]

Title: Computing Graph Descriptors on Edge Streams

Zohair Raza Hassan, Sarwan Ali, Imdadullah Khan, Mudassir Shabbir, Waseem Abbas

Comments: Extension of work accepted to PAKDD 2020. Accepted to ACM TKDD in 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS)

[70] arXiv:2109.01518 [pdf, other]

Title: Biomedical Data-to-Text Generation via Fine-Tuning Transformers

Ruslan Yermakov, Nicholas Drago, Angelo Ziletti

Comments: Accepted at ACL-INGL2021 (International Conference on Natural Language Generation organised by the Association for Computational Linguistics)

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[71] arXiv:2109.01528 [pdf, other]

Title: LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[72] arXiv:2109.01531 [pdf, other]

Title: MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator

Rhys Green, Matthew Rowe, Alberto Polleri

Subjects: Machine Learning (cs.LG)

[73] arXiv:2109.01538 [pdf, other]

Title: Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique

Somenath Chakraborty, Beddhu Murali

Subjects: Machine Learning (cs.LG)

[74] arXiv:2109.01545 [pdf, other]

Title: Large-Scale Learning with Fourier Features and Tensor Decompositions

Frederiek Wesel, Kim Batselier

Comments: 9 pages, 6 figures. Reviewed version after peer-review. To be published in the proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[75] arXiv:2109.01556 [pdf, other]

Title: Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems

Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, Danny H.K. Tsang

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS)

[76] arXiv:2109.01621 [pdf, other]

Title: Stochastic Physics-Informed Neural Ordinary Differential Equations

Jared O'Leary, Joel A. Paulson, Ali Mesbah

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[77] arXiv:2109.01654 [pdf, other]

Title: Multi-agent Natural Actor-critic Reinforcement Learning Algorithms

Prashant Trivedi, Nandyala Hemachandra

Comments: A very high-level summary of our revision is: In Section 3.5, we theoretically prove that the objective function value from the deterministic variant of MAN algorithms dominates that of the MAAC algorithm under some minimal conditions. It relies on the Lemma 2 of our paper: the minimum singular value of the Fisher information matrix is well within the reciprocal of the policy parameter dimension

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Optimization and Control (math.OC); Machine Learning (stat.ML)

[78] arXiv:2109.01656 [pdf, other]

Title: Thompson Sampling for Bandits with Clustered Arms

Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson

Comments: IJCAI-2021. The supplementary material is not part of the IJCAI-21 Proceedings

Subjects: Machine Learning (cs.LG)

[79] arXiv:2109.01657 [pdf, other]

Title: A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

Comments: 14 pages

Subjects: Machine Learning (cs.LG)

[80] arXiv:2109.01658 [pdf, other]

Title: Artificial Intelligence in Dry Eye Disease

Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo L. Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor P. Utheim, Catherine Jackson

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Image and Video Processing (eess.IV)

[81] arXiv:2109.01659 [pdf, other]

Title: Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer

Gayathri Krishnamoorthy, Anamika Dubey

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Systems and Control (eess.SY)

[82] arXiv:2109.01669 [pdf, other]

Title: Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes

Meysam Effati, Yu-Chen Sun, Hani E. Naguib, Goldie Nejat

Comments: 5 Pages, 1 Figure, To appear in The 7th International Conference on Wireless and Mobile Computing, Networking and Communication (IEEE eHPWAS - 17th IEEE WiMob - rank B), 2021

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[83] arXiv:2109.01718 [pdf, other]

Title: Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks

Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho

Comments: Short version accepted to IEEE ICDM 2021

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)

[84] arXiv:2109.01730 [pdf, other]

Title: Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure

Gilles Blanchard (LMO, DATASHAPE), Jean-Baptiste Fermanian (ENS Rennes, LMO)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Statistics Theory (math.ST); Machine Learning (stat.ML)

[85] arXiv:2109.01731 [pdf, other]

Title: Acceleration Method for Learning Fine-Layered Optical Neural Networks

Kazuo Aoyama, Hiroshi Sawada

Comments: 9 pages, 9 figures

Subjects: Machine Learning (cs.LG); Optics (physics.optics); Quantum Physics (quant-ph); Machine Learning (stat.ML)

[86] arXiv:2109.01739 [pdf, other]

Title: Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method

Peiyuan Zhou, Andrew K.C. Wong, Yang Yang, Scott T. Leatherdale, Kate Battista, Zahid A. Butt, George Michalopoulos, Helen Chen

Comments: 21 pages, 3 figures, 4 tables

Subjects: Machine Learning (cs.LG)

[87] arXiv:2109.01753 [pdf, other]

Title: Assessing the Performance of Online Students -- New Data, New Approaches, Improved Accuracy

Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)

[88] arXiv:2109.01761 [pdf, other]

Title: An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

Abiodun Ayodeji, Wenhai Wang, Jianzhong Su, Jianquan Yuan, Xinggao Liu

Comments: 32 pages, 13 figures, 8 tables, typos fixed

Subjects: Machine Learning (cs.LG)

[89] arXiv:2109.01768 [pdf, other]

Title: Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms

Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

Comments: 19 pages,16 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[90] arXiv:2109.01773 [pdf, other]

Title: MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization

Ajim Uddin, Dan Zhou, Xinyuan Tao, Chia-Ching Chou, Dantong Yu

Subjects: Machine Learning (cs.LG)

[91] arXiv:2109.01785 [pdf, other]

Title: Node Feature Kernels Increase Graph Convolutional Network Robustness

Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis

Comments: 16 pages, 5 figures

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[92] arXiv:2109.01818 [pdf, other]

Title: Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS

Stephan Gärttner, Faruk O. Alpak, Andreas Meier, Nadja Ray, Florian Frank

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[93] arXiv:2109.01863 [pdf, other]

Title: Customer 360-degree Insights in Predicting Chronic Diabetes

Asish Satpathy, Satyajit Behari

Comments: Submitted to journal for publication

Subjects: Machine Learning (cs.LG)

[94] arXiv:2109.01876 [pdf, other]

Title: Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park

Comments: Accepted in ICDM 2021, Corrected typos

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[95] arXiv:2109.01902 [pdf, other]

Title: Barycentric-alignment and reconstruction loss minimization for domain generalization

Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

Comments: This article has been accepted for publication in IEEE Access

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[96] arXiv:2109.01904 [pdf, other]

Title: Estimating Categorical Counterfactuals via Deep Twin Networks

Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[97] arXiv:2109.01918 [pdf, other]

Title: Training Graph Neural Networks by Graphon Estimation

Ziqing Hu, Yihao Fang, Lizhen Lin

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[98] arXiv:2109.01949 [pdf, other]

Title: Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur Srihari, Yifan Peng, Mingchen Gao

Comments: 10 Pages, 1 Figure, 3 Tables, Accepted in 12th Machine Learning in Medical Imaging (MLMI 2021) workshop

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)

[99] arXiv:2109.01983 [pdf, other]

Title: Training Meta-Surrogate Model for Transferable Adversarial Attack

Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

Comments: 15 pages, 7 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

[100] arXiv:2109.01996 [pdf, other]

Title: Automatic Online Multi-Source Domain Adaptation

Renchunzi Xie, Mahardhika Pratama

Comments: this paper has been accepted in Information Sciences

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)