Robin Walters

Karthikeyan Natesan Ramamurthy

Tess E. Smidt

CoRR, 2023

Latent Space Symmetry Discovery.

[BibT_eX]

[DOI]

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

[BibT_eX]

[DOI]

CoRR, 2023

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

[BibT_eX]

[DOI]

CoRR, 2023

Equivariant Single View Pose Prediction Via Induced and Restricted Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Convergence and Generalization Using Parameter Symmetries.

[BibT_eX]

[DOI]

CoRR, 2023

A General Theory of Correct, Incorrect, and Extrinsic Equivariance.

[BibT_eX]

[DOI]

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

[BibT_eX]

[DOI]

Alessandro Salatiello

Kalyan Varma Nadimpalli

Proceedings of the Topological, 2023

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing.

[BibT_eX]

[DOI]

Jung Yeon Park

Lawson L. S. Wong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Equivariant Single View Pose Prediction Via Induced and Restriction Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A General Theory of Correct, Incorrect, and Extrinsic Equivariance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Topological Obstructions and How to Avoid Them.

[BibT_eX]

[DOI]

Babak Esmaeili

Heiko Zimmermann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Probabilistic Symmetry for Multi-Agent Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

SEIL: Simulation-augmented Equivariant Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Generative Adversarial Symmetry Discovery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Integrating Symmetry into Differentiable Planning with Steerable Convolutions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-shot Imitation Learning via Interaction Warping.

[BibT_eX]

[DOI]

Niklas Smedemark-Margulies

Lawson L. S. Wong

Robert Platt

Proceedings of the Conference on Robot Learning, 2023

2022

Probabilistic program inference in network-based epidemiological simulations.

[BibT_eX]

[DOI]

Heiko Zimmermann

Lucas Laird

Christian van der Loo

Neela Kaushik

Rajmonda Caceres

PLoS Comput. Biol., November, 2022

Secondary Protein Structure Prediction Using Neural Networks.

[BibT_eX]

[DOI]

Sidharth Malhotra

CoRR, 2022

Quiver neural networks.

[BibT_eX]

[DOI]

Iordan Ganev

CoRR, 2022

I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images.

[BibT_eX]

[DOI]

CoRR, 2022

Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Integrating Symmetry into Differentiable Planning.

[BibT_eX]

[DOI]

CoRR, 2022

Probabilistic Symmetry for Improved Trajectory Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

On-Robot Policy Learning with O(2)-Equivariant SAC.

[BibT_eX]

[DOI]

CoRR, 2022

SO(2)-Equivariant Reinforcement Learning.

[BibT_eX]

[DOI]

Dian Wang

Robert Platt

CoRR, 2022

Sample Efficient Grasp Learning Using Equivariant Models.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Equivariant Transporter Network.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Symmetry Teleportation for Accelerated Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-Learning Dynamics Forecasting Using Task Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Toward Compositional Generalization in Object-Oriented World Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Approximately Equivariant Networks for Imperfectly Symmetric Dynamics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning Symmetric Embeddings for Equivariant World Models.

[BibT_eX]

[DOI]

Jung Yeon Park

Ondrej Biza

Linfeng Zhao

Proceedings of the International Conference on Machine Learning, 2022

$\mathrm{SO}(2)$-Equivariant Reinforcement Learning.

[BibT_eX]

[DOI]

Dian Wang

Robert Platt

Proceedings of the Tenth International Conference on Learning Representations, 2022

On-Robot Learning With Equivariant Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands.

[BibT_eX]

[DOI]

Albert-László Barabási

Giulia Menichetti

CoRR, 2021

The QR decomposition for radial neural networks.

[BibT_eX]

[DOI]

Iordan Ganev

CoRR, 2021

Automatic Symmetry Discovery with Lie Algebra Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Traffic Forecasting using Vehicle-to-Vehicle Communication.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Trajectory Prediction using Equivariant Continuous Convolution.

[BibT_eX]

[DOI]

Jinxi Li