conftrace_
← Authors

Robin Walters

41 papers · 2021–2025 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🐝 Cross-Pollinator (7)
🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (43) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (106) ⚑ Prolific Year (11) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (41)

Conferences

ICML (10) NIPS (10) ICLR (9) CORL (6) L4DC (2) RSS (2) AISTATS (1) JMLR (1)

Top co-authors

Rose Yu (15) Robert Platt (14) Dian Wang (12) Xupeng Zhu (9) Nima Dehmamy (8) Ondrej Biza (6) Linfeng Zhao (5) Haojie Huang (5) Jung Yeon Park (5) Rui Wang (4)

Research topics

Machine Learning (1)

Keywords

equivariant neural network (9) sample efficiency (4) robotic manipulation (3) representation learning (2) group representation (2) world model (2) equivariance constraint (2) reinforcement learning (2) message passing (2) lie algebra (2) symmetry discovery (2) group symmetry (2) deep learning (1) group theory (1) transfer learning (1) geometric deep learning (1) model merging (1) data transformation (1) policy learning (1) trajectory prediction (1)

Papers

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