Walters, Robin

67 publications

TMLR 2026 Denoising Hamiltonian Network for Physical Reasoning Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas Guibas, Kaiming He

TMLR 2026 On Uncertainty Calibration for Equivariant Functions Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters

TMLR 2026 Symmetry in Neural Network Parameter Spaces Bo Zhao, Robin Walters, Rose Yu

NeurIPS 2025 3D Equivariant Visuomotor Policy Learning via Spherical Projection Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters

NeurIPS 2025 A Practical Guide for Incorporating Symmetry in Diffusion Policy Dian Wang, Boce Hu, Shuran Song, Robin Walters, Robert Platt

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

ICML 2025 AtlasD: Automatic Local Symmetry Discovery Manu Bhat, Jonghyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPS 2025 Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains Colin Kohler, Purvik Patel, Nathan Vaska, Justin Goodwin, Matthew C. Jones, Robert Platt, Rajmonda S. Caceres, Robin Walters

ICLRW 2025 Detecting Symmetry-Breaking in Molecular Data Distributions Hannah Lawrence, Elyssa Hofgard, Yuxuan Chen, Tess Smidt, Robin Walters

ICLRW 2025 Do You See the Shape? Diffusion Models for Noisy Radar Scattering Problems Neel Sortur, Justin Goodwin, Rajmonda S. Caceres, Robin Walters

ICML 2025 Hierarchical Equivariant Policy via Frame Transfer Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt

ICML 2025 SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi

ICML 2025 Understanding Mode Connectivity via Parameter Space Symmetry Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICML 2024 Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang, Elyssa Hofgard, Han Gao, Robin Walters, Tess Smidt

CoRL 2024 Equivariant Diffusion Policy Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt

TMLR 2024 Fast and Expressive Gesture Recognition Using a Combination-Homomorphic Electromyogram Encoder Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters

NeurIPSW 2024 Finding Symmetry in Neural Network Parameter Spaces Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICLR 2024 Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Haojie Huang, Owen Lewis Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters

CoRL 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters

ICLR 2024 Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu

ICML 2024 Latent Space Symmetry Discovery Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPS 2024 MatrixNet: Learning over Symmetry Groups Using Learned Group Representations Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters

CoRL 2024 OrbitGrasp: SE(3)-Equivariant Grasp Learning Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt

ICMLW 2024 Relaxed Equivariant Graph Neural Networks Elyssa Hofgard, Rui Wang, Robin Walters, Tess Smidt

NeurIPS 2024 Symmetry-Informed Governing Equation Discovery Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPS 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka

ICMLW 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka

MLOSS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

ICLRW 2023 $\mathrm{SE}(3)$ Frame Equivariance in Dynamics Modeling and Reinforcement Learning Linfeng Zhao, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

NeurIPSW 2023 A Comparison of Equivariant Vision Models with ImageNet Pre-Training David Klee, Jung Yeon Park, Robert Platt, Robin Walters

NeurIPS 2023 A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters

ICMLW 2023 Can Euclidean Symmetry Help in Reinforcement Learning and Planning Linfeng Zhao, Owen Lewis Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

ICLRW 2023 Controlling Dynamic Spatial Light Modulators Using Equivariant Neural Networks Sumukh Vasisht Shankar, Darrel D'Souza, Jonathan P Singer, Robin Walters

NeurIPS 2023 Equivariant Single View Pose Prediction via Induced and Restriction Representations Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters

ICML 2023 Generative Adversarial Symmetry Discovery Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu

ICLR 2023 Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David Klee, Ondrej Biza, Robert Platt, Robin Walters

NeurIPSW 2023 Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao, Robert Gower, Robin Walters, Rose Yu

NeurIPSW 2023 Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad

ICLR 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L.S. Wong

ICMLW 2023 Latent Space Symmetry Discovery Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPS 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park, Lawson Wong, Robin Walters

CoRL 2023 One-Shot Imitation Learning via Interaction Warping Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt

L4DC 2023 Probabilistic Symmetry for Multi-Agent Dynamics Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu

NeurIPSW 2023 Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems Rui Wang, Robin Walters, Tess Smidt

NeurIPSW 2023 Sample Efficient Modeling of Drag Coefficients for Satellites with Symmetry Neel Sortur, Linfeng Zhao, Robin Walters

NeurIPSW 2023 Symmetric Models for Radar Response Modeling Colin Kohler, Nathan Vaska, Ramya Muthukrishnan, Whangbong Choi, Jung Yeon Park, Justin Goodwin, Rajmonda Caceres, Robin Walters

ICLR 2023 Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

ICLR 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L.S. Wong, Robin Walters, Robert Platt

NeurIPSW 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson Wong, Robin Walters, Robert Platt

NeurIPS 2023 Topological Obstructions and How to Avoid Them Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent

NeurIPSW 2023 Understanding Mode Connectivity via Parameter Space Symmetry Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICMLW 2023 Unsupervised Learning of 3-Colorings Using Simplicial Higher-Order Neural Networks Lucas Laird, Robin Walters, Wolfgang Gatterbauer

ICLR 2022 $\mathrm{SO}(2)$-Equivariant Reinforcement Learning Dian Wang, Robin Walters, Robert Platt

ICML 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang, Robin Walters, Rose Yu

NeurIPSW 2022 Charting Flat Minima Using the Conserved Quantities of Gradient Flow Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

NeurIPSW 2022 Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David Klee, Ondrej Biza, Robert Platt, Robin Walters

ICML 2022 Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem Van De Meent, Robin Walters

NeurIPS 2022 Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang, Robin Walters, Rose Yu

CoRL 2022 On-Robot Learning with Equivariant Models Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt

NeurIPS 2022 Symmetry Teleportation for Accelerated Optimization Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICML 2022 Toward Compositional Generalization in Object-Oriented World Modeling Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L.S. Wong

NeurIPSW 2022 Understanding Optimization Challenges When Encoding to Geometric Structures Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent

NeurIPS 2021 Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu

CoRL 2021 Equivariant $q$ Learning in Spatial Action Spaces Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt

ICLR 2021 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang, Robin Walters, Rose Yu

L4DC 2021 Traffic Forecasting Using Vehicle-to-Vehicle Communication Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu

ICLR 2021 Trajectory Prediction Using Equivariant Continuous Convolution Robin Walters, Jinxi Li, Rose Yu