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When manipulating three-dimensional data, it is possible to ensure that rotational and translational symmetries are respected by applying so-called SE(3)-equivariant models.
Group equivariant convolutional networks
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Nathaniel Thomas, Tess Smidt, Steven M. Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
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3d steerable cnns: Learning rotationally equivariant features in volumetric data
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, and Taco Cohen · 2018
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Risi Kondor · 2018
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Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard S. Zemel · 2018
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Peter Battaglia, Jessica Blake Chandler Hamrick, Victor Bapst, Alvaro Sanchez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andy Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Jayne Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, and Razvan Pascanu · 2018
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Relational neural expectation maximization: Unsupervised discovery of objects and their interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, and Jürgen Schmidhuber · 2018
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Attentional shapecontextnet for point cloud recognition
Saining Xie, Sainan Liu, and Zeyu Chen Zhuowen Tu · 2018
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Self-attention with relative position representations
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani · 2018
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Methods for the refinement of protein structure 3d models
Recep Adiyaman and Liam James McGuffin · 2019
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Advances in protein structure prediction and design
Brian Kuhlman and Philip Bradley · 2019
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UniProt Consortium · 2019
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Protein data bank: the single global archive for 3d macromolecular structure data · 2019
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Distance-based protein folding powered by deep learning
Jinbo Xu · 2019
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Carlos Outeiral Rubiera · 2020
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Dale Markowitz · 2020
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Alphafold2 @ casp14: “it feels like one’s child has left home.”
Mohammed AlQuraishi · 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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Improved protein structure prediction using potentials from deep learning
Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander WR Nelson, Alex Bridgland, et al · 2020
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Improved protein structure prediction using predicted interresidue orientations
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Martin Steinegger, Markus Meier, Milot Mirdita, Harald Vöhringer, Stephan J Haunsberger, and Johannes Söding · 2019
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Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
Joe G Greener, Shaun M Kandathil, and David T Jones · 2019
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Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
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Stand-alone self-attention in vision models
Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, and Jon Shlens · 2019
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Modeling point clouds with self-attention and gumbel subset sampling
Jiancheng Yang, Qiang Zhang, and Bingbing Ni · 2019
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High accuracy protein structure prediction using deep learning
John Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, O Ronneberger, R Bates, A Zidek, A Bridgland, et al · 2020
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Jianyi Yang, Ivan Anishchenko, Hahnbeom Park, Zhenling Peng, Sergey Ovchinnikov, and David Baker · 2020
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A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip · 2020
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Generalizing convolutional neural networks for equivariance to lie groups on arbitrary continuous data
Marc Finzi, Samuel Stanton, Pavel Izmailov, and Andrew Wilson · 2020
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Lietransformer: Equivariant self-attention for lie groups
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, and Hyunjik Kim · 2020
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End-to-end recurrent multi-object tracking and prediction with relational reasoning
Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, and Ingmar Posner · 2020
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Openfold2
Lupoglaz · 2021
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