Title
Learning Hierarchical Relational Representations through Relational Convolutions Awni Altabaa John Lafferty 30 2 0 05 Oct 2023
Inferring Inference Rajkumar Vasudeva Raju Zhe Li Scott W. Linderman Xaq Pitkow 24 1 0 04 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 28 15 0 04 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 37 27 0 02 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 33 0 0 02 Oct 2023
The Optimal use of Segmentation for Sampling Calorimeters Fernando Torales Acosta Bishnu Karki P. Karande Aaron Angerami M. Arratia K. Barish R. Milton Sebastián Morán Benjamin Nachman Anshuman Sinha 18 5 0 02 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 23 1 0 02 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 32 2 0 02 Oct 2023
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations Hoyun Choi Sungyeop Lee B. Kahng Junghyo Jo AI4CE 34 1 0 01 Oct 2023
Learning State-Augmented Policies for Information Routing in Communication Networks Sourajit Das Navid Naderializadeh Alejandro Ribeiro 20 2 0 30 Sep 2023
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures Christian Pedersen Tiberiu Teşileanu Tinghui Wu Siavash Golkar M. Cranmer Zijun Zhang Shirley Ho 11 0 0 28 Sep 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 40 13 0 28 Sep 2023
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem Kuo-Hao Ho Jui-Yu Cheng Ji-Han Wu Chiang Fan Yen-Chi Chen Yuan-Yu Wu I-Chen Wu 18 11 0 27 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 43 0 0 27 Sep 2023
Learning dislocation dynamics mobility laws from large-scale MD simulations N. Bertin Vasily V. Bulatov Fei Zhou AI4CE 20 8 0 25 Sep 2023
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems Krishna Kumar Yonjin Choi AI4CE 27 6 0 23 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading Yuecheng Cai J. Jelovica AI4CE 39 0 0 22 Sep 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning Julian Minder Florian Grötschla Joël Mathys Roger Wattenhofer 29 8 0 21 Sep 2023
Using deep learning to construct stochastic local search SAT solvers with performance bounds Maximilian Kramer Paul Boes NAI 14 0 0 20 Sep 2023
Graph Neural Networks for Dynamic Modeling of Roller Bearing Vinay Sharma Jens Ravesloot C. Taal Olga Fink AI4CE 33 0 0 19 Sep 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction Taylor Webb Steven M. Frankland Awni Altabaa Simon N. Segert Kamesh Krishnamurthy ... Tyler Giallanza Zack Dulberg Randall O'Reilly John Lafferty Jonathan D. Cohen 34 27 0 12 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 28 20 0 11 Sep 2023
Diffusion Generative Inverse Design Marin Vlastelica Tatiana López-Guevara Kelsey R. Allen Peter Battaglia Arnaud Doucet Kimberley L. Stachenfeld DiffM 26 1 0 05 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation Siwei Zhang Yun Xiong Yao Zhang Xixi Wu Yiheng Sun Jiawei Zhang AI4TS 17 4 0 05 Sep 2023
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer Gyeongdong Yang Yungwook Kwon Hyunjin Kim ViT 30 1 0 04 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zong-Yi Li Nikola B. Kovachki Chris Choy Boyi Li Jean Kossaifi ... M. A. Nabian Maximilian Stadler Christian Hundt Kamyar Azizzadenesheli Anima Anandkumar AI4CE 34 131 0 01 Sep 2023
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition Milad Ramezani Liang Wang Joshua Knights Zhibin Li Pauline Pounds Peyman Moghadam 3DPC 38 2 0 31 Aug 2023
Taxonomic Loss for Morphological Glossing of Low-Resource Languages Michael Ginn Alexis Palmer 21 0 0 29 Aug 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 19 3 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu A. Micheli 21 6 0 17 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters Guillermo Bernárdez José Suárez-Varela Xiang Shi Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio GNN 15 0 0 09 Aug 2023
TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer Hyunki Seong David Hyunchul Shim 14 0 0 07 Aug 2023
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems Abdeldjalil Latrach M. L. Malki Misael Morales Mohamed Mehana M. Rabiei PINN AI4CE 25 29 0 06 Aug 2023
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic Saleem Ahmed Bhavin Jawade Shubham Pandey S. Setlur Venugopal Govindaraju 21 5 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 29 16 0 03 Aug 2023
A digital twin framework for civil engineering structures Matteo Torzoni M. Tezzele S. Mariani Andrea Manzoni Karen E. Willcox AI4CE 29 61 0 02 Aug 2023
Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 30 40 0 02 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 31 1 0 31 Jul 2023
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 43 4 0 27 Jul 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 33 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 25 6 0 21 Jul 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 25 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 18 0 0 18 Jul 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 32 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 G. Walters Lawson L. S. Wong 36 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 41 15 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 36 12 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 24 18 0 12 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 22 19 0 10 Jul 2023