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Extensive work has demonstrated that equivariant neural networks can significantly improve sample efficiency and generalization by enforcing an inductive bias in the network architecture.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver · 2015
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2016
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Steerable CNNs
Taco S. Cohen and Max Welling · 2017
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
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Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Spherical cnns
Taco S Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Explorations in homeomorphic variational auto-encoding
Luca Falorsi, Pim De Haan, Tim R Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, and Taco S Cohen · 2018
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Cormorant: Covariant molecular neural networks
Brandon Anderson, Truong Son Hy, and Risi Kondor · 2019
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A general theory of equivariant cnns on homogeneous spaces
Taco S Cohen, Mario Geiger, and Maurice Weiler · 2019
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General e (2)-equivariant steerable cnns
Maurice Weiler and Gabriele Cesa · 2019
Cited alongside, same era.
Lorentz group equivariant neural network for particle physics
Alexander Bogatskiy, Brandon Anderson, Jan Offermann, Marwah Roussi, David Miller, and Risi Kondor · 2020
Cited alongside, same era.
Gauge equivariant mesh cnns: Anisotropic convolutions on geometric graphs
Pim De Haan, Maurice Weiler, Taco Cohen, and Max Welling · 2020
Cited alongside, same era.
On the universality of rotation equivariant point cloud networks
Nadav Dym and Haggai Maron · 2020
Cited alongside, same era.
On learning sets of symmetric elements
Haggai Maron, Or Litany, Gal Chechik, and Ethan Fetaya · 2020
Cited alongside, same era.
A data and compute efficient design for limited-resources deep learning
Meta-learning symmetries by reparameterization
Allan Zhou, Tom Knowles, and Chelsea Finn · 2020
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A program to build e (n)-equivariant steerable cnns
Gabriele Cesa, Leon Lang, and Maurice Weiler · 2021
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Equivariant self-supervised learning: Encouraging equivariance in representations
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, and Marin Soljacic · 2021
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Automatic symmetry discovery with lie algebra convolutional network
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, and Rose Yu · 2021
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Equivariant Q Q learning in spatial action spaces
Dian Wang, Robin Walters, Xupeng Zhu, and Robert Platt · 2021
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Mirgahney Mohamed, Gabriele Cesa, Taco S Cohen, and Max Welling · 2020
Cited alongside, same era.
Group equivariant deep reinforcement learning
Arnab Kumar Mondal, Pratheeksha Nair, and Kaleem Siddiqi · 2020
Cited alongside, same era.
Learning disentangled representations and group structure of dynamical environments
Robin Quessard, Thomas Barrett, and William Clements · 2020
Cited alongside, same era.
dm_control: Software and tasks for continuous control
Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess, and Yuval Tassa · 2020
Cited alongside, same era.
Mdp homomorphic networks: Group symmetries in reinforcement learning
Elise van der Pol, Daniel Worrall, Herke van Hoof, Frans Oliehoek, and Max Welling · 2020
Cited alongside, same era.
Trajectory prediction using equivariant continuous convolution
Robin Walters, Jinxi Li, and Rose Yu · 2020
Cited alongside, same era.
Incorporating symmetry into deep dynamics models for improved generalization
Rui Wang, Robin Walters, and Rose Yu · 2020
Cited alongside, same era.
Denis Yarats, Ilya Kostrikov, and Rob Fergus · 2021
Later among the works it cites.
Equivariant transporter network
Haojie Huang, Dian Wang, Robin Walters, and Robert Platt · 2022
Closest in time.
David Klee, Ondrej Biza, Robert Platt, and Robin Walters · 2022
Closest in time.
Equivariant representation learning via class-pose decomposition
Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, and Danica Kragic · 2022
Closest in time.
Learning symmetric embeddings for equivariant world models
Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem Van De Meent, and Robin Walters · 2022
Closest in time.
Neural descriptor fields: Se (3)-equivariant object representations for manipulation
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, and Vincent Sitzmann · 2022
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Mastering visual continuous control: Improved data-augmented reinforcement learning
Denis Yarats, Rob Fergus, Alessandro Lazaric, and Lerrel Pinto · 2022
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Sample efficient grasp learning using equivariant models
Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, and Robert Platt · 2022
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