Title
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Taxonomic Loss for Morphological Glossing of Low-Resource Languages Michael Ginn Alexis Palmer 51 0 0 29 Aug 2023
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RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic Saleem Ahmed Bhavin Jawade Shubham Pandey S. Setlur Venugopal Govindaraju 49 7 0 03 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks N. R. Franco S. Fresca Filippo Tombari Andrea Manzoni AI4CE 80 17 0 03 Aug 2023
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Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 111 40 0 02 Aug 2023
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Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 70 5 0 27 Jul 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 53 2 0 26 Jul 2023
Direct and inverse modeling of soft robots by learning a condensed FEM model Etienne Ménager Tanguy Navez O. Goury Christian Duriez AI4CE 52 7 0 21 Jul 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 81 7 0 19 Jul 2023
Machine Learning for SAT: Restricted Heuristics and New Graph Representations Mikhail Shirokikh Ilya Shenbin Anton M. Alekseev Sergey I. Nikolenko NAI 43 0 0 18 Jul 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 76 3 0 18 Jul 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin Walters Lawson L. S. Wong 80 1 0 17 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 83 18 0 14 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 111 15 0 12 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 106 21 0 12 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 83 20 0 10 Jul 2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Amr Gomaa Bilal Mahdy Niko Kleer Michael Feld Frank Kirchner Antonio Krüger 78 5 0 07 Jul 2023
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements Marco Skocaj F. Conserva Nicole Sarcone Grande Andrea Orsi Davide Micheli G. Ghinamo S. Bizzarri Roberto Verdone 32 8 0 05 Jul 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 70 10 0 03 Jul 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation Yixuan Wang Yunzhu Li Katherine Driggs-Campbell Li Fei-Fei Jiajun Wu 99 24 0 29 Jun 2023
Graph neural networks for sound source localization on distributed microphone networks Eric Grinstein Mike Brookes Patrick A. Naylor 46 9 0 28 Jun 2023
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects Alireza Rezazadeh Snehal Dikhale Soshi Iba Nawid Jamali 63 8 0 28 Jun 2023
Asynchronous Algorithmic Alignment with Cocycles Andrew Dudzik Tamara von Glehn Razvan Pascanu Petar Velivcković 103 12 0 27 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 81 4 0 24 Jun 2023
Scaling MLPs: A Tale of Inductive Bias Gregor Bachmann Sotiris Anagnostidis Thomas Hofmann 110 38 0 23 Jun 2023
StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks T. Pakornchote A. Ektarawong Thiparat Chotibut 52 4 0 22 Jun 2023
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Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 103 19 0 20 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 46 8 0 19 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 91 1 0 15 Jun 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction Yu-Ching Lin Keqiang Yan Youzhi Luo Yi Liu Xiaoning Qian Shuiwang Ji 186 37 0 12 Jun 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials Guillem Simeon Gianni De Fabritiis 106 49 0 10 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 79 14 0 08 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 106 10 0 06 Jun 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning Mattia Atzeni Mrinmaya Sachan Andreas Loukas LRM 66 3 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 100 24 0 05 Jun 2023
Learning Causal Mechanisms through Orthogonal Neural Networks Peyman Sheikholharam Mashhadi Sławomir Nowaczyk CML DRL 97 0 0 05 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 103 39 0 05 Jun 2023
Systematic Visual Reasoning through Object-Centric Relational Abstraction Taylor Webb S. S. Mondal Jonathan D. Cohen OCL 104 26 0 04 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 35 4 0 02 Jun 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models Sivan Doveh Assaf Arbelle Sivan Harary Roei Herzig Donghyun Kim ... Yikang Shen Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 136 58 0 31 May 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 126 46 0 30 May 2023