Title
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
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 40 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 19 7 0 05 Jul 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 32 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 32 19 0 29 Jun 2023
Graph neural networks for sound source localization on distributed microphone networks Eric Grinstein Mike Brookes Patrick A. Naylor 6 8 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 19 8 0 28 Jun 2023
Asynchronous Algorithmic Alignment with Cocycles Andrew Dudzik Tamara von Glehn Razvan Pascanu Petar Velivcković 26 9 0 27 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 22 4 0 24 Jun 2023
Scaling MLPs: A Tale of Inductive Bias Gregor Bachmann Sotiris Anagnostidis Thomas Hofmann 34 38 0 23 Jun 2023
StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks T. Pakornchote A. Ektarawong Thiparat Chotibut 31 4 0 22 Jun 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 42 37 0 22 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 27 15 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 13 7 0 19 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 26 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 66 33 0 12 Jun 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials Guillem Simeon Gianni De Fabritiis 29 45 0 10 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 27 14 0 08 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 32 7 0 06 Jun 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning Mattia Atzeni Mrinmaya Sachan Andreas Loukas LRM 22 3 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 50 23 0 05 Jun 2023
Learning Causal Mechanisms through Orthogonal Neural Networks Peyman Sheikholharam Mashhadi Sławomir Nowaczyk CML DRL 28 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 31 34 0 05 Jun 2023
Systematic Visual Reasoning through Object-Centric Relational Abstraction Taylor Webb S. S. Mondal Jonathan D. Cohen OCL 30 24 0 04 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 16 4 0 02 Jun 2023
Is Rewiring Actually Helpful in Graph Neural Networks? Domenico Tortorella A. Micheli AI4CE 42 2 0 31 May 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models Sivan Doveh Assaf Arbelle Sivan Harary Roei Herzig Donghyun Kim ... Rameswar Panda Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 44 52 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 32 43 0 30 May 2023
Subequivariant Graph Reinforcement Learning in 3D Environments Runfa Chen Jiaqi Han Gang Hua Wen-bing Huang OffRL 44 9 0 30 May 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks Xuming Hu Aiwei Liu Zeqi Tan Xin Zhang Chenwei Zhang Irwin King Philip S. Yu 47 16 0 26 May 2023
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 51 7 0 25 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 27 0 0 25 May 2023
Learning Lagrangian Fluid Mechanics with E( $3$ )-Equivariant Graph Neural Networks Artur P. Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A. Adams AI4CE 29 5 0 24 May 2023
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing Yi Hu Chao Zhang Edward Andert Harshul Singh Aviral Shrivastava James Laudon Yan-Quan Zhou Bob Iannucci Carlee Joe-Wong 17 1 0 23 May 2023
Provably Learning Object-Centric Representations Jack Brady Roland S. Zimmermann Yash Sharma Bernhard Schölkopf Julius von Kügelgen Wieland Brendel OCL 33 31 0 23 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 24 14 0 22 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 24 4 0 21 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 36 17 0 19 May 2023
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison N. Jeffrey Benjamin Dan Wandelt BDL 19 12 0 18 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design Andrew Holliday Gregory Dudek 14 1 0 18 May 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data Svenja Ehlers Marco Klein Alexander Heinlein Mathies Wedler Nicolas Desmars Norbert Hoffmann M. Stender AI4Cl 40 2 0 18 May 2023
A Generalist Dynamics Model for Control Ingmar Schubert Jingwei Zhang Jake Bruce Sarah Bechtle Emilio Parisotto Martin Riedmiller Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever N. Heess AI4CE 35 28 0 18 May 2023
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Yixuan Huang Nichols Crawford Taylor Adam Conkey Weiyu Liu Tucker Hermans 36 7 0 18 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 38 52 0 15 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks A. Micheli Domenico Tortorella 16 8 0 14 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 16 0 0 10 May 2023
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs Roei Herzig Alon Mendelson Leonid Karlinsky Assaf Arbelle Rogerio Feris Trevor Darrell Amir Globerson VLM 38 31 0 10 May 2023
Graph Neural Network-based surrogate model for granular flows Yongjin Choi Krishna Kumar AI4CE 32 23 0 09 May 2023
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain Pu Ren Chengping Rao Haoqin Sun Yang Liu PINN 27 5 0 09 May 2023