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Problems involving geometric data arise in physics, chemistry, robotics, computer vision, and many other fields.
Clifford Algebras and Spinors
Pertti Lounesto · 2001
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Geometric algebra for physicists
C Doran and A Lasenby · 2003
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Geometric Algebra for Computer Science: An Object-oriented Approach to Geometry
Leo Dorst, Daniel Fontijne, and Stephen Mann · 2007
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Training deep nets with sublinear memory cost
Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin · 2016
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Adaptive input representations for neural language modeling
Alexei Baevski and Michael Auli · 2018
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Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
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Cormorant: Covariant molecular neural networks
Brandon Anderson, Truong Son Hy, and Risi Kondor · 2019
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PyBullet, a Python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2019
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Off-policy deep reinforcement learning without exploration
Scott Fujimoto, David Meger, and Doina Precup · 2019
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Axial attention in multidimensional transformers
Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, and Tim Salimans · 2019
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Fast transformer decoding: One write-head is all you need
Noam Shazeer · 2019
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Pulmonary nodule detection in CT scans with equivariant CNNs
Marysia Winkels and Taco Cohen · 2019
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A guided tour to the plane-based geometric algebra pga
Leo Dorst · 2020
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SE(3)-Transformers: 3D Roto-Translation equivariant attention networks
Fabian B Fuchs, Daniel E Worrall, Volker Fischer, and Max Welling · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Equivariant flows: exact likelihood generative learning for symmetric densities
Jonas Köhler, Leon Klein, and Frank Noé · 2020
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Conservative q-learning for offline reinforcement learning
Aviral Kumar, Aurick Zhou, George Tucker, and Sergey Levine · 2020
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Attentive group equivariant convolutional networks
David W Romero, Erik J Bekkers, Jakub M Tomczak, and Mark Hoogendoorn · 2020
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Geometric algebra attention networks for small point clouds
Matthew Spellings · 2021
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Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, and Yunfeng Liu · 2021
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Equivariant Q learning in spatial action spaces, 2021
Dian Wang, Robin Walters, Xupeng Zhu, and Robert Platt · 2021
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MACE: Higher order equivariant message passing neural networks for fast and accurate force fields
Ilyes Batatia, David Peter Kovacs, Gregor N C Simm, Christoph Ortner, and Gabor Csanyi · 2022
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
Simon Batzner, Albert Musaelian, Lixin Sun, Mario Geiger, Jonathan P Mailoa, Mordechai Kornbluth, Nicola Molinari, Tess E Smidt, and Boris Kozinsky · 2022
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On layer normalization in the transformer architecture
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, and Tieyan Liu · 2020
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Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
Michael M Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković · 2021
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Equivariant Convolutional Networks
Taco Cohen · 2021
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Gauge equivariant mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan, Maurice Weiler, Taco Cohen, and Max Welling · 2021
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Highly accurate protein structure prediction with alphafold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, et al · 2021
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Roto-translation equivariant convolutional networks: Application to histopathology image analysis
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FlashAttention: Fast and memory-efficient exact attention with IO-awareness
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Equivariant transporter network
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Planning with diffusion for flexible behavior synthesis
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xFormers: A modular and hackable Transformer modelling library
Benjamin Lefaudeux, Francisco Massa, Diana Liskovich, Wenhan Xiong, Vittorio Caggiano, Sean Naren, Min Xu, Jieru Hu, Marta Tintore, Susan Zhang, Patrick Labatut, and Daniel Haziza · 2022
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Equiformer: Equivariant graph attention transformer for 3d atomistic graphs
Yi-Lun Liao and Tess Smidt · 2022
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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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Mesh neural networks for se (3)-equivariant hemodynamics estimation on the artery wall
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, and Jelmer M Wolterink · 2022
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On-Robot learning with equivariant models
Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, and Robert Platt · 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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EDGI: Equivariant diffusion for planning with embodied agents
Johann Brehmer, Joey Bose, Pim De Haan, and Taco Cohen · 2023
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