Robin Walters

Approximate Equivariance in Reinforcement Learning AISTATS 2025 AtlasD: Automatic Local Symmetry Discovery ICML 2025 Hierarchical Equivariant Policy via Frame Transfer ICML 2025 SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space ICML 2025 Understanding Mode Connectivity via Parameter Space Symmetry ICML 2025 Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution ICML 2024 Equivariant Diffusion Policy CoRL 2024 Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D ICLR 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies CoRL 2024 Improving Convergence and Generalization Using Parameter Symmetries ICLR 2024 Latent Space Symmetry Discovery ICML 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 OrbitGrasp: SE(3)-Equivariant Grasp Learning CoRL 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains JMLR 2024 A General Theory of Correct, Incorrect, and Extrinsic Equivariance NeurIPS 2023 Equivariant Single View Pose Prediction Via Induced and Restriction Representations NeurIPS 2023 Generative Adversarial Symmetry Discovery ICML 2023 Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction ICLR 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions ICLR 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 One-shot Imitation Learning via Interaction Warping CoRL 2023 Probabilistic Symmetry for Multi-Agent Dynamics L4DC 2023 Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow ICLR 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry ICLR 2023 Topological Obstructions and How to Avoid Them NeurIPS 2023 SO(2)-Equivariant Reinforcement Learning ICLR 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022 Equivariant Transporter Network RSS 2022 Learning Symmetric Embeddings for Equivariant World Models ICML 2022 Meta-Learning Dynamics Forecasting Using Task Inference NeurIPS 2022 On-Robot Learning With Equivariant Models CoRL 2022 Sample Efficient Grasp Learning Using Equivariant Models RSS 2022 Symmetry Teleportation for Accelerated Optimization NeurIPS 2022 Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022 Automatic Symmetry Discovery with Lie Algebra Convolutional Network NeurIPS 2021 Equivariant Q Learning in Spatial Action Spaces CoRL 2021 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization ICLR 2021 Traffic Forecasting using Vehicle-to-Vehicle Communication L4DC 2021 Trajectory Prediction using Equivariant Continuous Convolution ICLR 2021