← Authors

Robin Walters

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

Achievements

🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (7) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 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