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2006.10503
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SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
18 June 2020
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
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Papers citing
"SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks"
14 / 414 papers shown
Title
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero
Anna Kuzina
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
12
123
0
04 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
43
56
0
21 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups
M. Hutchinson
Charline Le Lan
Sheheryar Zaidi
Emilien Dupont
Yee Whye Teh
Hyunjik Kim
10
111
0
20 Dec 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design
G. Simm
Robert Pinsler
Gábor Csányi
José Miguel Hernández-Lobato
AI4CE
8
64
0
25 Nov 2020
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
Saeid Asgari Taghanaki
Jieliang Luo
Ran Zhang
Ye Wang
P. Jayaraman
Krishna Murthy Jatavallabhula
3DPC
OOD
10
24
0
23 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution
Robin G. Walters
Jinxi Li
Rose Yu
13
43
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
18
13
0
21 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym
Haggai Maron
3DPC
21
78
0
06 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero
Jean-Baptiste Cordonnier
MDE
10
57
0
02 Oct 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
A. P. Condurache
ViT
AI4CE
27
9
0
30 Jun 2020
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
8
3
0
09 Jun 2020
Computing Representations for Lie Algebraic Networks
N. Shutty
Casimir Wierzynski
8
2
0
01 Jun 2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
AI4CE
8
92
0
26 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
766
0
30 Mar 2018
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