Title
Machine Learning for SAT: Restricted Heuristics and New Graph Representations Mikhail Shirokikh Ilya Shenbin Anton M. Alekseev Sergey I. Nikolenko NAI 6 0 0 18 Jul 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 24 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 23 1 0 17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 20 12 0 12 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 14 18 0 10 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 17 7 0 05 Jul 2023
Is Rewiring Actually Helpful in Graph Neural Networks? Domenico Tortorella A. Micheli AI4CE 27 2 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 28 43 0 30 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 28 17 0 19 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 15 7 0 18 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 51 0 15 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 25 6 0 02 May 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 37 8 0 22 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks George Watkins Giovanni Montana Juergen Branke GNN 8 4 0 08 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 31 4 0 06 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur P. Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 11 5 0 31 Mar 2023
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering Guillermo Bernárdez José Suárez-Varela Albert Lopez Xiang Shi Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 19 24 0 31 Mar 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 24 11 0 28 Mar 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains M. A. Bashar R. Nayak G. Knapman Paul Turnbull C. Fforde 23 1 0 25 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 20 96 0 23 Mar 2023
Predicting Density of States via Multi-modal Transformer Namkyeong Lee Heewoong Noh Sungwon Kim Dongmin Hyun Gyoung S. Na Chanyoung Park 11 2 0 13 Mar 2023
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán D. Méry 15 0 0 12 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 12 13 0 11 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 18 1 0 10 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 22 3 0 07 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 11 10 0 27 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 19 8 0 27 Feb 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 20 4 0 21 Feb 2023
EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment Yuanqing Wang Iván Pulido Kenichiro Takaba Benjamin Kaminow Jenke Scheen Lily Wang J. Chodera 21 17 0 14 Feb 2023
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions Vladimir Feinberg Xinyi Chen Y. Jennifer Sun Rohan Anil Elad Hazan 19 12 0 07 Feb 2023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander ... D. Beker Andrew Fitzgibbon Shenyang Huang Ladislav Rampášek Dominique Beaini 28 8 0 06 Feb 2023
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design Jian Cheng Wong C. Ooi Joyjit Chattoraj Lucas Lestandi Guoying Dong Umesh Kizhakkinan D. W. Rosen M. Jhon M. Dao AI4CE PINN 11 9 0 01 Feb 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong Son-Hy Rose Yu Yusu Wang 26 50 0 27 Jan 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Marco Skocaj Pedro Enrique Iturria-Rivera Roberto Verdone Melike Erol-Kantarci 25 1 0 27 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 35 121 0 17 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 31 11 0 30 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 32 16 0 08 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 11 2 0 30 Nov 2022
Meta Architecture for Point Cloud Analysis Haojia Lin Xiawu Zheng Lijiang Li Fei Chao Sha Wang Yan Wang Yonghong Tian Rongrong Ji 3DPC 25 45 0 26 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 22 1 0 22 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models Xichen Pan Pengda Qin Yuhong Li Hui Xue Wenhu Chen DiffM 16 62 0 20 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander Adam Sanders Hatem Helal D. Beker Ladislav Rampášek Dominique Beaini 22 23 0 18 Nov 2022
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation Yiyue Hu Lei Zhang Nan Mu Leijun Liu ViT MedIm 20 1 0 17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials Shehtab Zaman E. Ferguson Cécile Pereira D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu DiffM AI4CE 8 2 0 15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 20 4 0 14 Nov 2022
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems Bang L. H. Nguyen T. Vu Thai-Thanh Nguyen M. Panwar R. Hovsapian 17 3 0 05 Nov 2022
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 25 13 0 03 Nov 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging N. Shehata Wulfie Bain Ben Glocker 30 2 0 29 Oct 2022
Thermodynamics-informed neural networks for physically realistic mixed reality Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 15 16 0 24 Oct 2022
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning Joaquim Ortiz de Haro Jung-Su Ha Danny Driess E. Karpas Marc Toussaint 11 2 0 22 Oct 2022