Equivariant Q Learning in Spatial Action Spaces. - Dian Wang 001; Robin Walters 001; Xupeng Zhu; Robert Platt Jr. 001 (CoRL, 2021)

Trajectory Prediction using Equivariant Continuous Convolution. - Robin Walters 001; Jinxi Li; Rose Yu (ICLR, 2021)

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. - Rui Wang 086; Robin Walters 001; Rose Yu (ICLR, 2021)

Traffic Forecasting using Vehicle-to-Vehicle Communication. - Steven Wong; Lejun Jiang; Robin Walters 001; Tamás G. Molnár; Gábor Orosz; Rose Yu (L4DC, 2021)

Automatic Symmetry Discovery with Lie Algebra Convolutional Network. - Nima Dehmamy; Robin Walters 001; Yanchen Liu; Dashun Wang; Rose Yu (NeurIPS, 2021)

The QR decomposition for radial neural networks. - Iordan Ganev; Robin Walters 001 (CoRR, 2021)

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. - Ayan Chatterjee; Omair Shafi Ahmed; Robin Walters 001; Zohair Shafi; Deisy Morselli Gysi; Rose Yu; Tina Eliassi-Rad; Albert-László Barabási; Giulia Menichetti (CoRR, 2021)

On-Robot Learning With Equivariant Models. - Dian Wang 001; Mingxi Jia; Xupeng Zhu; Robin Walters 001; Robert Platt 001 (CoRL, 2022)

$ mathrm{SO}(2)$-Equivariant Reinforcement Learning. - Dian Wang 001; Robin Walters 001; Robert Platt 001 (ICLR, 2022)

Learning Symmetric Embeddings for Equivariant World Models. - Jung Yeon Park; Ondrej Biza; Linfeng Zhao; Jan-Willem van de Meent; Robin Walters 001 (ICML, 2022)

Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. - Rui Wang 086; Robin Walters 001; Rose Yu (ICML, 2022)

Toward Compositional Generalization in Object-Oriented World Modeling. - Linfeng Zhao; Lingzhi Kong; Robin Walters 001; Lawson L. S. Wong (ICML, 2022)

Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. - David Klee; Ondrej Biza; Robert Platt 001; Robin Walters 001 (NeurReps, 2022)

Meta-Learning Dynamics Forecasting Using Task Inference. - Rui Wang 086; Robin Walters 001; Rose Yu (NeurIPS, 2022)

Symmetry Teleportation for Accelerated Optimization. - Bo Zhao 028; Nima Dehmamy; Robin Walters 001; Rose Yu (NeurIPS, 2022)

Equivariant Transporter Network. - Haojie Huang; Dian Wang 001; Robin Walters 001; Robert Platt 001 (Robotics: Science and Systems, 2022)

Sample Efficient Grasp Learning Using Equivariant Models. - Xupeng Zhu; Dian Wang 001; Ondrej Biza; Guanang Su; Robin Walters 001; Robert Platt 001 (Robotics: Science and Systems, 2022)

SO(2)-Equivariant Reinforcement Learning. - Dian Wang 001; Robin Walters 001; Robert Platt 001 (CoRR, 2022)

On-Robot Policy Learning with O(2)-Equivariant SAC. - Dian Wang 001; Mingxi Jia; Xupeng Zhu; Robin Walters 001; Robert Platt 001 (CoRR, 2022)

Probabilistic Symmetry for Improved Trajectory Forecasting. - Sophia Huiwen Sun; Robin Walters 001; Jinxi Li; Rose Yu (CoRR, 2022)

Integrating Symmetry into Differentiable Planning. - Linfeng Zhao; Xupeng Zhu; Lingzhi Kong; Robin Walters 001; Lawson L. S. Wong (CoRR, 2022)

Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting. - Rui Wang 086; Robin Walters 001; Rose Yu (CoRR, 2022)

I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. - David Klee; Ondrej Biza; Robert Platt 001; Robin Walters 001 (CoRR, 2022)

Quiver neural networks. - Iordan Ganev; Robin Walters 001 (CoRR, 2022)

Secondary Protein Structure Prediction Using Neural Networks. - Sidharth Malhotra; Robin Walters 001 (CoRR, 2022)

Probabilistic program inference in network-based epidemiological simulations. - Niklas Smedemark-Margulies; Robin Walters 001; Heiko Zimmermann; Lucas Laird; Christian van der Loo; Neela Kaushik; Rajmonda Caceres; Jan-Willem van de Meent (PLoS Comput. Biol., 2022)

One-shot Imitation Learning via Interaction Warping. - Ondrej Biza; Skye Thompson; Kishore Reddy Pagidi; Abhinav Kumar; Elise van der Pol; Robin Walters 001; Thomas Kipf; Jan-Willem van de Meent; Lawson L. S. Wong; Robert Platt 001 (CoRL, 2023)

The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. - Dian Wang 001; Jung Yeon Park; Neel Sortur; Lawson L. S. Wong; Robin Walters 001; Robert Platt 001 (ICLR, 2023)

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. - David Klee; Ondrej Biza; Robert Platt 001; Robin Walters 001 (ICLR, 2023)

Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. - Bo Zhao 028; Iordan Ganev; Robin Walters 001; Rose Yu; Nima Dehmamy (ICLR, 2023)

Integrating Symmetry into Differentiable Planning with Steerable Convolutions. - Linfeng Zhao; Xupeng Zhu; Lingzhi Kong; Robin Walters 001; Lawson L. S. Wong (ICLR, 2023)

Generative Adversarial Symmetry Discovery. - Jianke Yang; Robin Walters 001; Nima Dehmamy; Rose Yu (ICML, 2023)

Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. - Haojie Huang; Dian Wang 001; Xupeng Zhu; Robin Walters 001; Robert Platt 001 (ICRA, 2023)

SEIL: Simulation-augmented Equivariant Imitation Learning. - Mingxi Jia; Dian Wang 001; Guanang Su; David Klee; Xupeng Zhu; Robin Walters 001; Robert Platt 001 (ICRA, 2023)

Probabilistic Symmetry for Multi-Agent Dynamics. - Sophia Huiwen Sun; Robin Walters 001; Jinxi Li; Rose Yu (L4DC, 2023)

Symmetric models for radar response modeling. - Colin Kohler; Nathan Vaska; Ramya Muthukrishnan; Whangbong Choi; Jung Yeon Park; Justin Goodwin; Rajmonda Caceres; Robin Walters 001 (NeurReps, 2023)

Topological Obstructions and How to Avoid Them. - Babak Esmaeili 001; Robin Walters 001; Heiko Zimmermann; Jan-Willem van de Meent (NeurIPS, 2023)

A General Theory of Correct, Incorrect, and Extrinsic Equivariance. - Dian Wang 001; Xupeng Zhu; Jung Yeon Park; Mingxi Jia; Guanang Su; Robert Platt 001; Robin Walters 001 (NeurIPS, 2023)

Equivariant Single View Pose Prediction Via Induced and Restriction Representations. - Owen Howell; David Klee; Ondrej Biza; Linfeng Zhao; Robin Walters 001 (NeurIPS, 2023)

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. - Jung Yeon Park; Lawson L. S. Wong; Robin Walters 001 (NeurIPS, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

A General Theory of Correct, Incorrect, and Extrinsic Equivariance. - Dian Wang 001; Xupeng Zhu; Jung Yeon Park; Robert Platt 001; Robin Walters 001 (CoRR, 2023)

Equivariant Single View Pose Prediction Via Induced and Restricted Representations. - Owen Howell; David Klee; Ondrej Biza; Linfeng Zhao; Robin Walters 001 (CoRR, 2023)

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? - Linfeng Zhao; Owen Howell; Jung Yeon Park; Xupeng Zhu; Robin Walters 001; Lawson L. S. Wong (CoRR, 2023)

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. - Ayan Chatterjee; Robin Walters 001; Giulia Menichetti; Tina Eliassi-Rad (CoRR, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems. - Rui Wang 086; Robin Walters 001; Tess E. Smidt (CoRR, 2023)

On robot grasp learning using equivariant models. - Xupeng Zhu; Dian Wang 001; Guanang Su; Ondrej Biza; Robin Walters 001; Robert Platt 001 (Auton. Robots, 2023)

Equivariant Diffusion Policy. - Dian Wang 001; Stephen Hart; David Surovik; Tarik Kelestemur; Haojie Huang; Haibo Zhao; Mark Yeatman; Jiuguang Wang; Robin Walters 001; Robert Platt 001 (CoRL, 2024)

OrbitGrasp: SE(3)-Equivariant Grasp Learning. - Boce Hu; Xupeng Zhu; Dian Wang 001; Zihao Dong; Haojie Huang; Chenghao Wang; Robin Walters 001; Robert Platt 001 (CoRL, 2024)

IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies. - Haojie Huang; Karl Schmeckpeper; Dian Wang 001; Ondrej Biza; Yaoyao Qian; Haotian Liu; Mingxi Jia; Robert Platt 001; Robin Walters 001 (CoRL, 2024)

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. - Haojie Huang; Owen Howell; Dian Wang 001; Xupeng Zhu; Robert Platt 001; Robin Walters 001 (ICLR, 2024)

Improving Convergence and Generalization Using Parameter Symmetries. - Bo Zhao 028; Robert M. Gower; Robin Walters 001; Rose Yu (ICLR, 2024)

Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution. - Rui Wang 086; Elyssa F. Hofgard; Hang Gao 004; Robin Walters 001; Tess E. Smidt (ICML, 2024)

Latent Space Symmetry Discovery. - Jianke Yang; Nima Dehmamy; Robin Walters 001; Rose Yu (ICML, 2024)

MatrixNet: Learning over symmetry groups using learned group representations. - Lucas Laird; Circe Hsu; Asilata Bapat; Robin Walters 001 (NeurIPS, 2024)

The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. - Derek Lim; Theo Putterman; Robin Walters 001; Haggai Maron; Stefanie Jegelka (NeurIPS, 2024)

Symmetry-Informed Governing Equation Discovery. - Jianke Yang; Wang Rao; Nima Dehmamy; Robin Walters 001; Rose Yu (NeurIPS, 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 001; Sergio Escalera; et al. (CoRR, 2024)

Learning Galaxy Intrinsic Alignment Correlations. - Sneh Pandya; Yuanyuan Yang; Nicholas Van Alfen; Jonathan Blazek; Robin Walters 001 (CoRR, 2024)

The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. - Derek Lim; Moe Putterman; Robin Walters 001; Haggai Maron; Stefanie Jegelka (CoRR, 2024)

Open-vocabulary Pick and Place via Patch-level Semantic Maps. - Mingxi Jia; Haojie Huang; Zhewen Zhang; Chenghao Wang; Linfeng Zhao; Dian Wang 001; Jason Xinyu Liu; Robin Walters 001; Robert Platt 001; Stefanie Tellex (CoRR, 2024)

Relaxed Equivariant Graph Neural Networks. - Elyssa F. Hofgard; Rui Wang 086; Robin Walters 001; Tess E. Smidt (CoRR, 2024)

MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies. - Haojie Huang; Haotian Liu; Dian Wang 001; Robin Walters 001; Robert Platt 001 (CoRR, 2024)

Equivariant Action Sampling for Reinforcement Learning and Planning. - Linfeng Zhao; Owen Howell; Xupeng Zhu; Jung Yeon Park; Zhewen Zhang; Robin Walters 001; Lawson L. S. Wong (CoRR, 2024)

Leveraging symmetries in pick and place. - Haojie Huang; Dian Wang 001; Arsh Tangri; Robin Walters 001; Robert Platt 001 (Int. J. Robotics Res., 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 001 (Trans. Mach. Learn. Res., 2024)

Approximate Equivariance in Reinforcement Learning. - Jung Yeon Park; Sujay Bhatt; Sihan Zeng; Lawson L. S. Wong; Alec Koppel; Sumitra Ganesh; Robin Walters 001 (AISTATS, 2025)

Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. - Nathan Vaska; Justin Goodwin; Robin Walters 001; Rajmonda Sulo Caceres (ICASSP, 2025)

Coarse-to-Fine 3D Keyframe Transporter. - Xupeng Zhu; David Klee; Dian Wang 001; Boce Hu; Haojie Huang; Arsh Tangri; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

Hierarchical Equivariant Policy via Frame Transfer. - Haibo Zhao; Dian Wang 001; Yizhe Zhu; Xupeng Zhu; Owen Howell; Linfeng Zhao; Yaoyao Qian; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

Denoising Hamiltonian Network for Physical Reasoning. - Congyue Deng; Brandon Y. Feng; Cecilia Garraffo; Alan Garbarz; Robin Walters 001; William T. Freeman; Leonidas J. Guibas; Kaiming He (CoRR, 2025)

Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization. - Boce Hu; Heng Tian; Dian Wang 001; Haojie Huang; Xupeng Zhu; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

IAEmu: Learning Galaxy Intrinsic Alignment Correlations. - Sneh Pandya; Yuanyuan Yang; Nicholas Van Alfen; Jonathan Blazek; Robin Walters 001 (CoRR, 2025)

AtlasD: Automatic Local Symmetry Discovery. - Manu Bhat; Jonghyun Park; Jianke Yang; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)

Discovering Symbolic Differential Equations with Symmetry Invariants. - Jianke Yang; Manu Bhat; Bryan Hu; Yadi Cao; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)

A Practical Guide for Incorporating Symmetry in Diffusion Policy. - Dian Wang 001; Boce Hu; Shuran Song; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

3D Equivariant Visuomotor Policy Learning via Spherical Projection. - Boce Hu; Dian Wang 001; David Klee; Heng Tian; Xupeng Zhu; Haojie Huang; Robert Platt 001; Robin Walters 001 (CoRR, 2025)

EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation. - Xupeng Zhu; Yu Qi; Yizhe Zhu; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

Understanding Mode Connectivity via Parameter Space Symmetry. - Bo Zhao 028; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)

Symmetry in Neural Network Parameter Spaces. - Bo Zhao 028; Robin Walters 001; Rose Yu (CoRR, 2025)

SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space. - Xupeng Zhu; Fan Wang; Robin Walters 001; Jane Shi (CoRR, 2025)

Learning Efficient and Robust Language-Conditioned Manipulation Using Textual-Visual Relevancy and Equivariant Language Mapping. - Mingxi Jia; Haojie Huang; Zhewen Zhang; Chenghao Wang; Linfeng Zhao; Dian Wang 001; Jason Xinyu Liu; Robin Walters 001; Robert Platt 001; Stefanie Tellex (IEEE Robotics Autom. Lett., 2025)