Physics-based GNNs

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Manually curated articles on Physics-based GNNs

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off Learning rigid dynamics with face interaction graph networks Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William F. Whitney, Alvaro Sanchez-Gonzalez, P. Battaglia, T. Pfaff 2022-12-07 International Conference on Learning Representations, ArXiv 21 46 open_in_new
visibility_off Graph network simulators can learn discontinuous, rigid contact dynamics Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, P. Battaglia, T. Pfaff None DBLP 20 46 open_in_new
visibility_off Learning Mesh-Based Simulation with Graph Networks T. Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, P. Battaglia 2020-10-07 International Conference on Learning Representations, ArXiv 556 46 open_in_new
visibility_off Physical Design using Differentiable Learned Simulators Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, P. Battaglia, Jessica B. Hamrick, T. Pfaff 2022-02-01 arXiv.org, ArXiv 30 46 open_in_new
visibility_off Constraint-based graph network simulator Yulia Rubanova, Alvaro Sanchez-Gonzalez, T. Pfaff, P. Battaglia 2021-12-16 DBLP, ArXiv 21 46 open_in_new
visibility_off Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen 2023-12-08 arXiv.org, ArXiv 2 25 open_in_new
visibility_off Interaction Networks for Learning about Objects, Relations and Physics P. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, K. Kavukcuoglu 2016-12-01 MAG, DBLP, ArXiv 1293 71 open_in_new
visibility_off Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez, N. Heess, J. T. Springenberg, J. Merel, Martin A. Riedmiller, R. Hadsell, P. Battaglia 2018-06-04 MAG, DBLP, ArXiv 549 62 open_in_new
visibility_off Relational inductive biases, deep learning, and graph networks P. Battaglia, Jessica B. Hamrick, V. Bapst, Alvaro Sanchez-Gonzalez, V. Zambaldi, Mateusz Malinowski, A. Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. F. Song, A. J. Ballard, J. Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, C. Nash, Victoria Langston, Chris Dyer, N. Heess, Daan Wierstra, Pushmeet Kohli, M. Botvinick, O. Vinyals, Yujia Li, Razvan Pascanu 2018-06-04 arXiv.org, ArXiv 2770 106 open_in_new
visibility_off Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, T. Pfaff, Rex Ying, J. Leskovec, P. Battaglia 2020-02-21 International Conference on Machine Learning, ArXiv 846 134 open_in_new
visibility_off Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer, Alvaro Sanchez-Gonzalez, P. Battaglia, Rui Xu, Kyle Cranmer, D. Spergel, S. Ho 2020-06-19 Neural Information Processing Systems, ArXiv 385 104 open_in_new
visibility_off Rediscovering orbital mechanics with machine learning P. Lemos, N. Jeffrey, M. Cranmer, S. Ho, P. Battaglia 2022-02-04 Machine Learning: Science and Technology 55 46 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off Learning rigid-body simulators over implicit shapes for large-scale scenes and vision Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff 2024-05-22 ArXiv 1 7
visibility_off Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang 2024-06-18 ArXiv 0 6
visibility_off Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera 2024-07-04 ArXiv 0 28
visibility_off Modeling the Real World with High-Density Visual Particle Dynamics William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani 2024-06-28 ArXiv 0 45
visibility_off AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation Kaifeng Zhang, Baoyu Li, Kris Hauser, Yunzhu Li 2024-07-10 ArXiv 0 0
visibility_off RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu 2024-07-01 ArXiv 0 5
visibility_off Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad, Olof Mogren, Aleksis Pirinen 2024-05-30 ArXiv 0 12
visibility_off Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation Vismay Modi, Nicholas Sharp, Or Perel, S. Sueda, David I. W. Levin 2024-06-09 ArXiv 0 19
visibility_off The Power of Next-Frame Prediction for Learning Physical Laws T. Winterbottom, G. Hudson, Daniel Kluvanec, Dean L. Slack, Jamie Sterling, Junjie Shentu, Chenghao Xiao, Zheming Zhou, N. A. Moubayed 2024-05-21 ArXiv 0 15
visibility_off ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge Patrick Takenaka, Johannes Maucher, Marco F. Huber 2024-06-26 ArXiv 0 1
visibility_off URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images Zoey Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Karthikeya Vemuri, Alan Wu, Dieter Fox, Abhishek Gupta 2024-05-19 ArXiv 2 9
visibility_off Real2Code: Reconstruct Articulated Objects via Code Generation Zhao Mandi, Yijia Weng, Dominik Bauer, Shuran Song 2024-06-12 ArXiv 0 5
visibility_off OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos Ziyang Song, Jinxi Li, Bo Yang 2024-07-08 ArXiv 0 1
visibility_off Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Sunderhauf 2024-06-16 ArXiv 1 24
visibility_off Learning Iterative Reasoning through Energy Diffusion Yilun Du, Jiayuan Mao, Josh Tenenbaum 2024-06-17 ArXiv 0 4
visibility_off Learning deformable linear object dynamics from a single trajectory Shamil Mamedov, A. R. Geist, Ruan Viljoen, Sebastian Trimpe, Jan Swevers 2024-07-03 ArXiv 0 6
visibility_off PICA: Physics-Integrated Clothed Avatar Bo Peng, Yunfan Tao, Haoyu Zhan, Yudong Guo, Juyong Zhang 2024-07-07 ArXiv 0 11
visibility_off One Fling to Goal: Environment-aware Dynamics for Goal-conditioned Fabric Flinging Linhan Yang, Lei Yang, Haoran Sun, Zeqing Zhang, Haibin He, Fang Wan, Chaoyang Song, Jia Pan 2024-06-20 ArXiv 0 12
visibility_off A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids Yiye Zou, Tianyu Li, Shufan Zou, Jingyu Wang, Laiping Zhang, Xiaogang Deng 2024-06-15 ArXiv 0 1
visibility_off Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie, Naoto Mitsume 2024-05-25 ArXiv 0 0
visibility_off Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang 2024-06-06 ArXiv 0 1
visibility_off Scaling Manipulation Learning with Visual Kinematic Chain Prediction Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias 2024-06-12 ArXiv 0 3
visibility_off Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su 2024-05-27 ArXiv 1 12
visibility_off Graph Reasoning Networks Markus Zopf, Francesco Alesiani 2024-07-08 ArXiv 0 0
visibility_off Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert 2024-06-06 ArXiv 1 2
visibility_off dGrasp: NeRF-Informed Implicit Grasp Policies with Supervised Optimization Slopes Gergely S'oti, Xi Huang, C. Wurll 2024-06-14 ArXiv 0 10
visibility_off Privileged Sensing Scaffolds Reinforcement Learning E. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman 2024-05-23 ArXiv 0 11
visibility_off EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning Jingyun Yang, Zi-ang Cao, Congyue Deng, Rika Antonova, Shuran Song, J. Bohg 2024-07-01 ArXiv 0 42
visibility_off Modeling Ambient Scene Dynamics for Free-view Synthesis Meng-Li Shih, Jia-Bin Huang, Changil Kim, Rajvi Shah, Johannes Kopf, Chen Gao 2024-06-13 DBLP, ArXiv 0 11
visibility_off Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James 2024-05-28 ArXiv 3 12
visibility_off Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope Haodi Hu, Feifei Qian, Daniel Seita 2024-07-02 ArXiv 0 2
visibility_off Bridging Formal Shape Models and Deep Learning: A Novel Fusion for Understanding 3D Objects Jincheng Zhang, Andrew R. Willis 2024-06-01 Sensors (Basel, Switzerland) 0 3
visibility_off Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects Yizhou Chen, Yiting Zhang, Zachary Brei, Tiancheng Zhang, Yuzhen Chen, Julie Wu, Ram Vasudevan 2024-06-09 ArXiv 0 1
visibility_off KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, H. Ravichandar, Changliu Liu, Jeffrey Ichnowski 2024-06-29 ArXiv 0 14
visibility_off Solving Motion Planning Tasks with a Scalable Generative Model Yi Hu, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao, Haichao Zhang, Wei Xu, Qiang Liu 2024-07-03 ArXiv 0 8
visibility_off Learning dynamical systems from data: An introduction to physics-guided deep learning Rose Yu, Rui Wang 2024-06-24 Proceedings of the National Academy of Sciences of the United States of America 1 1
visibility_off Physics-based Scene Layout Generation from Human Motion Jianan Li, Tao Huang, Qingxu Zhu, Tien-Tsin Wong 2024-05-21 DBLP, ArXiv 0 1
visibility_off Gaussian-Informed Continuum for Physical Property Identification and Simulation Junhao Cai, Yuji Yang, Weihao Yuan, Yisheng He, Zilong Dong, Liefeng Bo, Hui Cheng, Qifeng Chen 2024-06-21 ArXiv 0 3
visibility_off PDP: Physics-Based Character Animation via Diffusion Policy Takara E. Truong, Michael Piseno, Zhaoming Xie, C. K. Liu 2024-06-03 ArXiv 0 4
visibility_off Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 2024-06-06 ArXiv 0 0
visibility_off MeshXL: Neural Coordinate Field for Generative 3D Foundation Models Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Yanru Wang, Zhibin Wang, C. Zhang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen 2024-05-31 ArXiv 3 6
visibility_off OrbitGrasp: $SE(3)$-Equivariant Grasp Learning Boce Hu, Xu Zhu, Dian Wang, Zihao Dong, Hao-zhe Huang, Chenghao Wang, Robin Walters, Robert Platt 2024-07-03 ArXiv 0 10
visibility_off Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong 2024-06-24 ArXiv 0 2
visibility_off PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong 2024-07-09 ArXiv 0 5
visibility_off PlaMo: Plan and Move in Rich 3D Physical Environments Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik 2024-06-26 ArXiv 0 14
visibility_off DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed 2024-06-13 ArXiv 0 1
visibility_off Towards Universal Mesh Movement Networks Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, M. Piggott 2024-06-29 ArXiv 0 38
visibility_off Equivariant Diffusion Policy Di Wang, Stephen M. Hart, David Surovik, Tarik Kelestemur, Hao Huang, Haibo Zhao, Mark Yeatman, Jiu-yao Wang, Robin G. Walters, Robert C. Platt 2024-07-01 ArXiv 0 0
visibility_off HACMan++: Spatially-Grounded Motion Primitives for Manipulation Bowen Jiang, Yilin Wu, Wen-Min Zhou, Chris Paxton, David Held 2024-07-11 ArXiv 0 3
visibility_off STEP: extraction of underlying physics with robust machine learning Karim K. Alaa El-Din, Alessandro Forte, Muhammad Firmansyah Kasim, Francesco Miniati, Sam M. Vinko 2024-06-01 Royal Society Open Science 0 1
visibility_off MBD-NODE: Physics-informed data-driven modeling and simulation of constrained multibody systems Jingquan Wang, Shu Wang, H. Unjhawala, Jinlong Wu, D. Negrut 2024-07-11 ArXiv 0 28
visibility_off PhyGICS – A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces S. Nagarathinam, Arunchandar Vasan 2024-05-31 Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems 0 15
visibility_off Learning System Dynamics without Forgetting Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao 2024-06-30 ArXiv 0 5
visibility_off SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers Mingrui Zhao, Yizhi Wang, Fenggen Yu, Changqing Zou, Ali Mahdavi-Amiri 2024-07-08 ArXiv 0 15
visibility_off InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior Chenguo Lin, Yuchen Lin, Panwang Pan, Xuanyang Zhang, Yadong Mu 2024-07-10 ArXiv 0 1
visibility_off From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs J. Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl 2024-05-31 ArXiv 0 9
visibility_off Gaussian Eigen Models for Human Heads Wojciech Zielonka, Timo Bolkart, T. Beeler, Justus Thies 2024-07-05 ArXiv 0 28
visibility_off Bond Graphs for multi-physics informed Neural Networks for multi-variate time series Alexis-Raja Brachet, Pierre-Yves Richard, C'eline Hudelot 2024-05-22 ArXiv 0 1
visibility_off Probing the effects of broken symmetries in machine learning Marcel F. Langer, S. Pozdnyakov, Michele Ceriotti 2024-06-25 ArXiv 0 9
visibility_off SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng 2024-07-13 DBLP, ArXiv 0 11
visibility_off Physics and geometry informed neural operator network with application to acoustic scattering S. Nair, Timothy F. Walsh, Greg Pickrell, Fabio Semperlotti 2024-06-02 ArXiv 0 4
visibility_off iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg 2024-07-12 ArXiv 0 18
visibility_off Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner, Victor Bres'o, P. D. Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer 2024-05-23 ArXiv 2 13
visibility_off Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta 2024-05-22 ArXiv 0 17
visibility_off ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation Guanxing Lu, Zifeng Gao, Tianxing Chen, Wen-Dao Dai, Ziwei Wang, Yansong Tang 2024-06-03 ArXiv 1 4
visibility_off A deep learning-based strategy for producing dense 3D segmentations from sparsely annotated 2D images Vijay Venu Thiyagarajan, Arlo Sheridan, Kristen M. Harris, U. Manor 2024-06-15 bioRxiv 0 25
visibility_off Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan 2024-06-07 ArXiv 0 17
visibility_off Multi-Stage Reinforcement Learning for Non-Prehensile Manipulation Dexin Wang, Chunsheng Liu, F. Chang, Hengqiang Huan, Kun Cheng 2023-07-22 IEEE Robotics and Automation Letters 0 22
visibility_off Vision‐Based Online Key Point Estimation of Deformable Robots Hehui Zheng, Sebastian Pinzello, Barnabas Gavin Cangan, Thomas J. K. Buchner, Robert K. Katzschmann 2024-07-03 Advanced Intelligent Systems 0 6
visibility_off Diffusion Models for Generating Ballistic Spacecraft Trajectories Tyler Presser, Agnimitra Dasgupta, Daniel Erwin, Assad Oberai 2024-05-20 ArXiv 0 3
visibility_off A structure-aware framework for learning device placements on computation graphs Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, M. Capotă, Shahin Nazarian, T. Willke, Paul Bogdan 2024-05-23 ArXiv 0 20
visibility_off Diffusion Models Are Innate One-Step Generators Bowen Zheng, Tianming Yang 2024-05-31 ArXiv 0 0
visibility_off An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data Tomás Coleman, R. Babuška, Jens Kober, C. D. Santina 2024-06-11 2024 32nd Mediterranean Conference on Control and Automation (MED) 0 20
visibility_off HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors Panwang Pan, Zhuo Su, Chenguo Lin, Zhen Fan, Yongjie Zhang, Zeming Li, Tingting Shen, Yadong Mu, Yebin Liu 2024-06-18 ArXiv 0 1
visibility_off G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning Florian Rupp, Kai Eckert 2024-07-15 ArXiv 0 0
visibility_off D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup Joanna Waczy'nska, Piotr Borycki, Joanna Kaleta, S. Tadeja, P. Spurek 2024-05-23 ArXiv 0 13
visibility_off Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields Daniel Badawi, Eduardo Gildin 2024-07-13 ArXiv 0 1
visibility_off Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, I. Oseledets, Ekaterina A. Muravleva 2024-05-24 ArXiv 0 2
visibility_off Learning Localization of Body and Finger Animation Skeleton Joints on Three-Dimensional Models of Human Bodies Stefan Novaković, V. Risojevic 2024-05-22 2024 Zooming Innovation in Consumer Technologies Conference (ZINC) 0 12
visibility_off Uncertainty modeling for fine-tuned implicit functions A. Susmelj, Mael Macuglia, Natavsa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, E. Konukoglu 2024-06-17 ArXiv 0 51
visibility_off Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures S. Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane 2024-07-12 ArXiv 0 7
visibility_off PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle 2024-07-14 ArXiv 0 7
visibility_off Generative Modelling of Structurally Constrained Graphs Manuel Madeira, Clément Vignac, D. Thanou, Pascal Frossard 2024-06-25 ArXiv 0 20
visibility_off Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings R. McConkey, Eugene Yee, F. Lien 2024-06-17 ArXiv 0 36
visibility_off World Models for General Surgical Grasping Hongbin Lin, Bin Li, Chun Wai Wong, Juan Rojas, X. Chu, K. W. S. Au 2024-05-28 ArXiv 0 7
visibility_off Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks Xuanle Zhao, Yue Sun, Tielin Zhang, Bo Xu 2024-05-23 ArXiv 0 15
visibility_off NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking D. Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, B. Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta 2024-06-21 ArXiv 1 20
visibility_off Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai 2024-06-23 ArXiv 0 0
visibility_off Identifying latent state transition in non-linear dynamical systems cCauglar Hizli, cCaugatay Yildiz, Matthias Bethge, ST John, Pekka Marttinen 2024-06-05 ArXiv 0 2
visibility_off Self-supervised Pretraining for Partial Differential Equations Varun Madhavan, Amal S Sebastian, Bharath Ramsundar, Venkat Viswanathan 2024-07-03 ArXiv 0 19
visibility_off Neural Parametric Human Hand Modeling with Point Cloud Representation Jian Yang, Weize Quan, Zhen Shen, Dong-Ming Yan, Huai-Yu Wu 2024-05-30 Proceedings of the 2024 International Conference on Multimedia Retrieval 0 11
visibility_off Strategies for Pretraining Neural Operators Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, A. Farimani 2024-06-12 ArXiv 0 33
visibility_off Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, J. Sonke, E. Gavves, E. J. Bekkers 2024-06-10 ArXiv 1 56
visibility_off Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation S. Auddy, Antonio Paolillo, J. Piater, Matteo Saveriano 2024-06-13 ArXiv 0 34
visibility_off SPITE: Simple Polyhedral Intersection Techniques for modified Environments Stav Ashur, M. Lusardi, Marta Markowicz, James Motes, Marco Morales, Sariel Har-Peled, N. Amato 2024-06-28 ArXiv 0 55
visibility_off Robot Instance Segmentation with Few Annotations for Grasping Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro 2024-07-01 ArXiv 0 11
visibility_off On the power of data augmentation for head pose estimation Michael Welter 2024-07-07 ArXiv 0 0
visibility_off Foundations and Frontiers of Graph Learning Theory Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen 2024-07-03 ArXiv 0 37
visibility_off Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning Jiayu Guo, Mingyue Feng, Pengfei Zhu, Chengjun Li, Jian Pu 2024-07-07 ArXiv 0 0
visibility_off A3D: Does Diffusion Dream about 3D Alignment? Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Nikolay Patakin, Oleg Voynov, Dmitry Senushkin, Alexander N. Filippov, Anton Konushin, Peter Wonka, Evgeny Burnaev 2024-06-21 ArXiv 0 5
visibility_off Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang, Yongjae Kim, Andrea Finazzi 2024-05-29 ArXiv 0 5
visibility_off BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation Dongjie Yu, Hang Xu, Yizhou Chen, Yi Ren, Jia Pan 2024-06-14 ArXiv 0 0
visibility_off Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems Katiana Kontolati, S. Goswami, G. Em Karniadakis, Michael D Shields 2024-06-14 Nature Communications 0 19
visibility_off VDG: Vision-Only Dynamic Gaussian for Driving Simulation Hao Li, Jingfeng Li, Dingwen Zhang, Chenming Wu, Jieqi Shi, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han 2024-06-26 ArXiv 1 11
visibility_off Graph Pooling via Ricci Flow Amy Feng, Melanie Weber 2024-07-05 ArXiv 0 0
visibility_off Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman 2024-06-18 ArXiv 0 5
visibility_off Physics informed cell representations for variational formulation of multiscale problems Yuxiang Gao, Soheil Kolouri, R. Duddu 2024-05-27 ArXiv 0 28
visibility_off Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, G. Craven, Nicholas Lubbers 2024-06-17 ArXiv 0 15
visibility_off Pi-fusion: Physics-informed diffusion model for learning fluid dynamics Jing Qiu, Jiancheng Huang, Xiangdong Zhang, Zeng Lin, Minglei Pan, Zengding Liu, F. Miao 2024-06-06 ArXiv 1 20
visibility_off Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes Qi Ma, D. Paudel, E. Konukoglu, L. V. Gool 2024-06-25 ArXiv 0 51
visibility_off Model Predictive Simulation Using Structured Graphical Models and Transformers Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lazaro-Gredilla, Kevin Murphy 2024-06-28 ArXiv 0 7
visibility_off BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space Yumeng Zhang, Shi Gong, Kaixin Xiong, Xiaoqing Ye, Xiao Tan, Fan Wang, Jizhou Huang, Hua Wu, Haifeng Wang 2024-07-08 ArXiv 0 17
visibility_off DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri, Xinzhi Wang, C. Schonlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof 2024-07-02 ArXiv 0 15
visibility_off Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers Zhou Hang, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long 2024-05-27 ArXiv 0 20
visibility_off FlowMM: Generating Materials with Riemannian Flow Matching Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood 2024-06-07 ArXiv 0 27
visibility_off ASIMO: Agent-centric scene representation in multi-object manipulation Cheol-Hui Min, Young Min Kim 2024-06-10 The International Journal of Robotics Research 0 3
visibility_off 3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson 2024-07-14 ArXiv 0 3
visibility_off Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang 2024-05-21 ArXiv 0 1
visibility_off Simulation fidelity analysis using deep neural networks Lalitha Dabbiru, Christopher Goodin, Daniel W. Carruth, Zachary Aspin, Justin Carrillo, John Kaniarz 2024-06-07 None 0 10
visibility_off Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong 2024-07-01 ArXiv 0 7
visibility_off EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile Robotics Jan Steckel, W. Jansen, Nico Huebel 2024-05-21 ArXiv 0 7
visibility_off Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam, Julius Berner, A. Anandkumar 2024-06-05 ArXiv 2 5
visibility_off Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images Tianyu Luan, Zhongpai Gao, Luyuan Xie, Abhishek Sharma, Hao Ding, Benjamin Planche, Meng Zheng, Ange Lou, Terrence Chen, Junsong Yuan, Ziyan Wu 2024-07-12 ArXiv 0 31
visibility_off Recurrent Deep Kernel Learning of Dynamical Systems N. Botteghi, Paolo Motta, Andrea Manzoni, P. Zunino, Mengwu Guo 2024-05-30 ArXiv 0 6
visibility_off Segment Any 4D Gaussians Shengxiang Ji, Guanjun Wu, Jiemin Fang, Jiazhong Cen, Taoran Yi, Wenyu Liu, Qi Tian, Xinggang Wang 2024-07-05 ArXiv 0 19
visibility_off Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao 2024-06-06 ArXiv 0 6
visibility_off Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images Krithika S. Iyer, Shireen Elhabian 2024-07-02 ArXiv 0 8
visibility_off Diffusion-Based Failure Sampling for Cyber-Physical Systems Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer 2024-06-20 ArXiv 0 16
visibility_off Lagrangian Neural Networks for Reversible Dissipative Evolution V. Sundararaghavan, Megna N. Shah, Jeff P. Simmons 2024-05-23 ArXiv 0 32
visibility_off Graph Reinforcement Learning in Power Grids: A Survey Mohamed Hassouna, Clara Holzhuter, Pawel Lytaev, Josephine Thomas, Bernhard Sick, Christoph Scholz 2024-07-05 ArXiv 0 1
visibility_off Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion Masahito Uwamichi, S. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai 2024-05-26 ArXiv 0 10
visibility_off WOLO : Wilson Only Looks Once – Estimating ant body mass from reference-free images using deep convolutional neural networks Fabian Plum, Lena Plum, Corvin Bischoff, D. Labonte 2024-06-26 bioRxiv 0 16
visibility_off Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park 2024-06-29 ArXiv 0 3
visibility_off WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts Chong Zhang, Wenli Xiao, Tairan He, Guanya Shi 2024-06-10 ArXiv 0 9
visibility_off Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion Fangfu Liu, Hanyang Wang, Shunyu Yao, Shengjun Zhang, Jie Zhou, Yueqi Duan 2024-06-06 ArXiv 0 3
visibility_off Modeling Randomly Observed Spatiotemporal Dynamical Systems V. Iakovlev, Harri Lähdesmäki 2024-06-01 ArXiv 0 2
visibility_off Active Exploration for Real-Time Haptic Training Jake Ketchum, A. Prabhakar, Todd D. Murphey 2024-05-20 ArXiv 0 7
visibility_off Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs Hao Zhang, Longxiang Jiang, Xinkun Chu, Yong Wen, Luxiong Li, Yonghao Xiao, Liyuan Wang 2024-05-30 ArXiv 0 6
visibility_off Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel, Johannes Müller, Marius Zeinhofer 2024-05-24 ArXiv 0 6
visibility_off Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction Christoph Jurgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz 2024-06-07 ArXiv 0 3
visibility_off A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks K. Shukla, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, G. Karniadakis 2024-06-05 ArXiv 4 127
visibility_off An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study Milad Ramezankhani, A. Deodhar, Rishi Parekh, Dagnachew Birru 2024-06-20 ArXiv 0 7
visibility_off Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design Shahroz Khan, Zahid Masood, Muhammad Usama, Konstantinos V. Kostas, P. Kaklis, Wei Chen 2024-07-10 ArXiv 0 21
visibility_off Advection Augmented Convolutional Neural Networks N. Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof 2024-06-27 ArXiv 0 6
visibility_off FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models Haonan Qiu, Zhaoxi Chen, Zhouxia Wang, Yingqing He, Menghan Xia, Ziwei Liu 2024-06-24 ArXiv 0 12
visibility_off Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin 2024-06-03 ArXiv 0 2
visibility_off Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection Sebastian Otte 2024-05-31 ArXiv 0 0
visibility_off Godunov Loss Functions for Modelling of Hyperbolic Conservation Laws R. G. Cassia, R. Kerswell 2024-05-19 ArXiv 0 44
visibility_off Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments Chuang Wang, Lie Yang, Ze Lin, Yizhi Liao, Gang Chen, Longhan Xie 2024-06-01 ArXiv 0 10
visibility_off Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent Yi Xu, Yun Fu 2024-05-27 ArXiv 0 1
visibility_off DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems D. Abueidda, Panos Pantidis, M. Mobasher 2024-05-29 ArXiv 7 24
visibility_off From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li, Jingdong Zhang, Qunxi Zhu, Chengli Zhao, Xue Zhang, Xiaojun Duan, Wei Lin 2024-05-19 ArXiv 0 12
visibility_off Consistency Models Made Easy Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Z. Kolter 2024-06-20 ArXiv 0 59
visibility_off Conditional score-based diffusion models for solving inverse problems in mechanics Agnimitra Dasgupta, Harisankar Ramaswamy, J. M. Esandi, Ken Foo, Runze Li, Qifa Zhou, Brendan Kennedy, Assad Oberai 2024-06-19 ArXiv 0 14
visibility_off Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models Kaiyuan Tan, Peilun Li, Thomas Beckers 2024-06-17 DBLP, ArXiv 0 1
visibility_off Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökçen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani 2024-05-30 ArXiv 2 23
visibility_off Foundation Inference Models for Markov Jump Processes David Berghaus, K. Cvejoski, Patrick Seifner, C. Ojeda, Ramses J. Sanchez 2024-06-10 ArXiv 0 7
visibility_off Bayesian Entropy Neural Networks for Physics-Aware Prediction R. Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu 2024-07-01 ArXiv 0 3
visibility_off Modeling Nonlinear Dynamics from Videos Antony Yang, Joar Axaas, Fanni K'ad'ar, G'abor St'ep'an, George Haller 2024-06-13 ArXiv 1 0
visibility_off Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov 2024-06-18 ArXiv 0 16
visibility_off Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, D. Kottonau, Klemens Böhm 2024-05-31 Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems 0 8
visibility_off A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu 2024-07-09 ArXiv 0 1
visibility_off Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig 2024-06-07 ArXiv 0 3
visibility_off Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng, Xintong Jiang, Shangpeng Sun, M. Lefsrud 2024-05-23 ArXiv 0 31
visibility_off Learning Diffusion at Lightspeed Antonio Terpin, Nicolas Lanzetti, Florian Dörfler 2024-06-18 ArXiv 0 10
visibility_off Flow Map Matching Nicholas M. Boffi, M. S. Albergo, Eric Vanden-Eijnden 2024-06-11 ArXiv 0 16
visibility_off Physics-Informed Online Learning for Temperature Prediction in Metal AM Pouyan Sajadi, M. Rahmani Dehaghani, Yifan Tang, G. G. Wang 2024-07-01 Materials 0 2
visibility_off Visuo-Tactile based Predictive Cross Modal Perception for Object Exploration in Robotics Anirvan Dutta, Etienne Burdet, Mohsen Kaboli 2024-05-21 ArXiv 0 16
visibility_off HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context Federico Arangath Joseph, K. Haefeli, Noah Liniger, Caglar Gulcehre 2024-07-12 ArXiv 0 3
visibility_off A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, C. Metta, Michele Salvi, Luigi Amedeo Bianchi, M. Fantozzi, S. Galfrè, Daniele Pavesi, Maurizio Parton, F. Morandin 2024-06-18 ArXiv 0 10
visibility_off Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models Zeyu Fang, Tian Lan 2024-05-30 ArXiv 0 0
visibility_off A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, A. Viardin, Markus Apel, T. Brepols, Stefanie Reese, Shahed Rezaei 2024-05-21 ArXiv 1 18
visibility_off Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos 2024-06-01 ArXiv 5 8
visibility_off Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao, Caroline Muller, Francesco Locatello 2024-05-22 ArXiv 0 9
visibility_off NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods Jonáš Kulhánek, Torsten Sattler 2024-06-25 ArXiv 0 5
visibility_off Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Kumar Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi 2024-06-22 ArXiv 0 24
visibility_off Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos, P. Koutsourelakis 2024-05-29 ArXiv 0 21
visibility_off ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, I. Oseledets, Ekaterina A. Muravleva 2024-06-07 ArXiv 0 2
visibility_off Scaling Motion Planning Infeasibility Proofs Sihui Li, Neil T. Dantam 2024-06-07 ArXiv 0 15
visibility_off Constraint-Aware Diffusion Models for Trajectory Optimization Anjian Li, Zihan Ding, Adji B. Dieng, Ryne Beeson 2024-06-03 ArXiv 0 13
visibility_off OpenECAD: An Efficient Visual Language Model for Computer-Aided Design Zhe Yuan, Jianqi Shi, Yanhong Huang 2024-06-14 ArXiv 0 10
visibility_off Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties Ning Liu, S. Jafarzadeh, B. Lattimer, Shuna Ni, Jim Lua, Yue Yu 2024-07-03 ArXiv 0 30
visibility_off Neural Green's Operators for Parametric Partial Differential Equations Hugo Melchers, Joost Prins, Michael Abdelmalik 2024-06-04 ArXiv 1 0
visibility_off A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey Fox 2024-06-08 ArXiv 0 0
visibility_off Model-Based Diffusion for Trajectory Optimization Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu 2024-05-28 ArXiv 1 1
visibility_off Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning A. Noorizadegan, R. Cavoretto, D. Young, C. S. Chen 2024-07-10 ArXiv 0 4
visibility_off Adapting Physics-Informed Neural Networks To Optimize ODEs in Mosquito Population Dynamics D. V. Cuong, Branislava Lali'c, Mina Petri'c, Binh Nguyen, M. Roantree 2024-06-07 ArXiv 0 17
visibility_off Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree Lang Feng, Pengjie Gu, Bo An, Gang Pan 2024-05-28 ArXiv 1 4
visibility_off Iteratively Refined Image Reconstruction with Learned Attentive Regularizers Mehrsa Pourya, Sebastian Neumayer, Michael Unser 2024-07-09 ArXiv 0 1
visibility_off Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten 2024-06-03 ArXiv 0 6
visibility_off Variational Flow Matching for Graph Generation Floor Eijkelboom, Grigory Bartosh, C. A. Naesseth, Max Welling, Jan-Willem van de Meent 2024-06-07 ArXiv 0 13
visibility_off Deep-diffeomorphic networks for conditional brain templates Luke Whitbread, Stephan Lau, L. Palmer, Mark Jenkinson 2024-07-10 bioRxiv 0 21
visibility_off TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models Jeongho Kim, Minjeong Kim, Junsoo Lee, J. Choo 2024-07-12 ArXiv 0 41
visibility_off Element-wise Multiplication Based Physics-informed Neural Networks Feilong Jiang, Xiaonan Hou, Min Xia 2024-06-06 ArXiv 0 1
visibility_off Solving Differential Equations using Physics-Informed Deep Equilibrium Models Bruno Machado Pacheco, E. Camponogara 2024-06-05 ArXiv 0 22
visibility_off A hybrid FEM-NN optimization method to learn the physics-constrained constitutive relations from full-field data Xinxin Wu Kaiqiang Sun, Shaohua Yang, Huan Wang, Ye Xu, Yin Zhang, Sheng Mao 2024-06-24 ArXiv 0 0
visibility_off Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates A. Padalkar, Gabriel Quere, A. Raffin, João Silvério, F. Stulp 2024-06-04 Auton. Robots 0 32
visibility_off A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang 2024-06-19 ArXiv 0 4
visibility_off Neural Persistence Dynamics Sebastian Zeng, Florian Graf, M. Uray, Stefan Huber, R. Kwitt 2024-05-24 ArXiv 0 32
visibility_off Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models Camila Pazos, Shuchin Aeron, P. Beauchemin, Vincent Croft, Martin Klassen, Taritree Wongjirad 2024-06-03 ArXiv 0 41
visibility_off VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification Paolo Conti, Jonas Kneifl, Andrea Manzoni, A. Frangi, Jörg Fehr, S. Brunton, J. Kutz 2024-05-31 ArXiv 0 63
visibility_off Constructing Ancestral Recombination Graphs through Reinforcement Learning M'elanie Raymond, Marie-Hélène Descary, C'edric Beaulac, Fabrice Larribe 2024-06-17 ArXiv 0 2
visibility_off Foundation Model for Chemical Process Modeling: Meta-Learning with Physics-Informed Adaptation Zihao Wang, Zhen Wu 2024-05-20 ArXiv 0 1
visibility_off Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data M. Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, M. Dahmen 2024-06-03 ArXiv 0 13
visibility_off KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics Benjamin C. Koenig, Suyong Kim, Sili Deng 2024-07-05 ArXiv 0 2
visibility_off RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long 2024-05-23 ArXiv 0 65
visibility_off Effective Many-body Interactions in Reduced-Dimensionality Spaces Through Neural Network Models Senwei Liang, Karol Kowalski, Chao Yang, Nicholas P. Bauman 2024-07-08 ArXiv 0 13
visibility_off Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data Tuo Feng, Wenguan Wang, Ruijie Quan, Yi Yang 2024-07-14 ArXiv 0 12
visibility_off Real-time Structure Flow J. Adarve, Robert Mahony 2024-06-26 ArXiv 0 4
visibility_off The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim 2024-05-23 ArXiv 0 8
visibility_off RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos Siettos, A. Yannacopoulos 2024-06-08 ArXiv 0 17
visibility_off Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment Mark Lowell, Catharine A. Kastner 2024-05-31 ArXiv 0 5
visibility_off Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch 2024-05-22 ArXiv 0 10
visibility_off VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems Ziqing Xing, Zhaoyang Zhang, Zirui Chen, Yusong Wang, Haoran Ma, Zhun Wei, Gang Bao 2024-05-29 ArXiv 0 2
visibility_off PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions Sihan Ma, Jing Zhang, Qiong Cao, Dacheng Tao 2024-06-20 ArXiv 0 5
visibility_off Deep learning in data science: Theoretical foundations, practical applications, and comparative analysis Yingxuan Chai, Liangning Jin 2024-06-21 Applied and Computational Engineering 0 0
visibility_off Neural Network Representations of Multiphase Equations of State George A. Kevrekidis, Daniel A. Serino, Alexander Kaltenborn, J. Gammel, J. Burby, Marc L. Klasky 2024-06-28 ArXiv 0 16
visibility_off State Space Models on Temporal Graphs: A First-Principles Study Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng 2024-06-03 ArXiv 0 10
visibility_off On instabilities in neural network-based physics simulators Daniel Floryan 2024-06-18 ArXiv 0 0
visibility_off Adaptive Manipulation using Behavior Trees Jacques Cloete, W. Merkt, Ioannis Havoutis 2024-06-20 ArXiv 0 16
visibility_off Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model C. Etienam, Juntao Yang, O. Ovcharenko, Issam Said 2024-06-02 ArXiv 0 4
visibility_off AI-Based Surrogate Models for Multibody Dynamics Systems J. Koutsoupakis, D. Giagopoulos 2024-06-01 Journal of Physics: Conference Series 0 2
visibility_off Solving partial differential equations with sampled neural networks Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich 2024-05-31 ArXiv 0 4
visibility_off Pushing with Soft Robotic Arms via Deep Reinforcement Learning Carlo Alessi, Diego Bianchi, G. Stano, Matteo Cianchetti, Egidio Falotico 2024-07-08 Advanced Intelligent Systems 0 19
visibility_off Freeform generative design of complex functional structures Gerald G. Pereira, David Howard, Paulus Lahur, Michael Breedon, Phil Kilby, Christian H. Hornung 2024-05-24 Scientific Reports 0 0
visibility_off Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction Zhiming Zhang, Shangce Gao, Mengchu Zhou, Mengtao Yan, Shuyang Cao 2024-06-01 IEEE/CAA Journal of Automatica Sinica 0 14
visibility_off CHARME: A chain-based reinforcement learning approach for the minor embedding problem Hoang M. Ngo, Nguyen H K. Do, Minh N. Vu, T.M. Kahveci, My T. Thai 2024-06-11 ArXiv 0 1
visibility_off Simulating infinite-dimensional nonlinear diffusion bridges Gefan Yang, E. Baker, Michael L. Severinsen, C. Hipsley, Stefan Sommer 2024-05-28 ArXiv 0 18
visibility_off Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics J. Kutz, M. Reza, F. Faraji, A. Knoll 2024-05-20 ArXiv 1 31
visibility_off Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation Istv'an S'ar'andi, Gerard Pons-Moll 2024-07-10 ArXiv 0 56
visibility_off Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models Ella Tamir, Arno Solin 2024-06-01 ArXiv 0 2
visibility_off Learning dynamical behaviors in physical systems R. Mandal, Rosalind Huang, Michel Fruchart, P. Moerman, Suriyanarayanan Vaikuntanathan, Arvind Murugan, Vincenzo Vitelli 2024-06-12 ArXiv 0 25
visibility_off Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models Marion Neumeier, Sebastian Dorn, M. Botsch, Wolfgang Utschick 2024-05-23 ArXiv 0 11
visibility_off Deep Learning without Weight Symmetry Ji-An Li, M. Benna 2024-05-31 ArXiv 0 14
visibility_off TEDi Policy: Temporally Entangled Diffusion for Robotic Control S. H. Høeg, Lars M Tingelstad 2024-06-07 ArXiv 0 1
visibility_off A 3D ray traced biological neural network learning model. Brosnan Yuen, Xiaodai Dong, Tao Lu 2024-06-01 Nature communications 0 8
visibility_off Physics-Informed Neural Networks Application To Mass-Spring System Solution Martin Muzelak, T. Skovranek, Marek Ruzicka 2024-05-22 2024 25th International Carpathian Control Conference (ICCC) 0 13
visibility_off A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems. Congsong Zhang, Yong Gao, James Nastos 2024-05-21 IEEE transactions on neural networks and learning systems 0 6
visibility_off Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang 2024-05-29 ArXiv 0 8
visibility_off Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine Ionut-Gabriel Farcas, Rayomand P. Gundevia, R. Munipalli, Karen E. Willcox 2024-07-13 ArXiv 0 13
visibility_off Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media Michel Nohra, Steven Dufour 2024-06-06 ArXiv 0 1
visibility_off Physiology-informed regularization enables training of universal differential equation systems for biological applications Max de Rooij, Balázs Erdős, N. V. van Riel, Shauna D. O’Donovan 2024-06-01 bioRxiv 0 5
visibility_off Fast, accurate training and sampling of Restricted Boltzmann Machines Nicolas B'ereux, A. Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane 2024-05-24 ArXiv 0 14
visibility_off VolTeMorph: Real‐time, Controllable and Generalizable Animation of Volumetric Representations Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew A. Johnson, Julien Valentin 2024-05-29 Computer Graphics Forum 0 9
visibility_off Poseidon: Efficient Foundation Models for PDEs Maximilian Herde, Bogdan Raoni'c, Tobias Rohner, R. Käppeli, Roberto Molinaro, Emmanuel de B'ezenac, Siddhartha Mishra 2024-05-29 ArXiv 1 11
visibility_off Large scale scattering using fast solvers based on neural operators Zongren Zou, Adar Kahana, Enrui Zhang, E. Turkel, Rishikesh Ranade, Jay Pathak, G. Karniadakis 2024-05-20 ArXiv 1 127
visibility_off Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics Weiming Ding, Haoxiang Huang, T. Lee, Yingjie Liu, Vigor Yang 2024-07-01 AIAA Journal 0 1
visibility_off Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön 2024-05-22 ArXiv 0 43
visibility_off Solving Inverse Problems in Protein Space Using Diffusion-Based Priors A. Levy, E. R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein 2024-06-06 ArXiv 0 7
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