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Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
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Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
50 / 432 papers shown
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
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Carlton Downey
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08 Jun 2022
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
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289
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06 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances
International Conference on Machine Learning (ICML), 2022
Ning Miao
Tom Rainforth
Emile Mathieu
Yann Dubois
Yee Whye Teh
Adam Foster
Hyunjik Kim
468
15
0
31 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Fei Wang
Zhewei Xu
Pedro A. Szekely
Muhao Chen
LMTD
225
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08 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics
Conference on Learning for Dynamics & Control (L4DC), 2022
S. Sun
Robin Walters
Jinxi Li
Rose Yu
230
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0
04 May 2022
Design equivariant neural networks for 3D point cloud
Thuan Trang
Thieu N. Vo
K. Nguyen
3DPC
142
0
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02 May 2022
Rotationally Equivariant 3D Object Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Hong-Xing Yu
Jiajun Wu
Li Yi
3DPC
206
35
0
28 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models
International Conference on Machine Learning (ICML), 2022
Jung Yeon Park
Ondrej Biza
Linfeng Zhao
Jan-Willem van de Meent
Robin Walters
286
49
0
24 Apr 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Beliz Gunel
Arda Sahiner
Arjun D Desai
Akshay S. Chaudhari
S. Vasanawala
Mert Pilanci
John M. Pauly
MedIm
181
8
0
21 Apr 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Jongmin Lee
Byung-soo Kim
Minsu Cho
3DPC
251
44
0
19 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Neural Information Processing Systems (NeurIPS), 2022
Tycho F. A. van der Ouderaa
David W. Romero
Mark van der Wilk
273
45
0
14 Apr 2022
3D Equivariant Graph Implicit Functions
European Conference on Computer Vision (ECCV), 2022
Yunlu Chen
Basura Fernando
Hakan Bilen
Matthias Nießner
E. Gavves
3DPC
169
28
0
31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Ahyun Seo
Byungjin Kim
Suha Kwak
Minsu Cho
166
19
0
31 Mar 2022
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yujiao Shi
Xin Yu
Liu Liu
Dylan Campbell
Piotr Koniusz
Hongdong Li
138
62
0
26 Mar 2022
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
Computer Vision and Pattern Recognition (CVPR), 2022
Jie Chen
Tianlang He
Weipeng Zhuo
Li Ma
Sangtae Ha
Shueng-Han Gary Chan
CVBM
198
31
0
20 Mar 2022
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Xinhua Zhang
L. Williams
92
1
0
13 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Sam Buchanan
Jingkai Yan
Ellie Haber
John N. Wright
191
3
0
09 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Sergey Bartunov
F. Fuchs
Timothy Lillicrap
221
9
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25 Feb 2022
Learning Invariant Weights in Neural Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Tycho F. A. van der Ouderaa
Mark van der Wilk
291
27
0
25 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
163
20
0
24 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
APL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
344
7
0
22 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Neural Information Processing Systems (NeurIPS), 2022
Alexander Immer
Tycho F. A. van der Ouderaa
Gunnar Rätsch
Vincent Fortuin
Mark van der Wilk
BDL
377
54
0
22 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations
Neural Information Processing Systems (NeurIPS), 2022
R. Winter
Marco Bertolini
Tuan Le
Frank Noé
Djork-Arné Clevert
302
50
0
15 Feb 2022
A Theory of PAC Learnability under Transformation Invariances
Neural Information Processing Systems (NeurIPS), 2022
Hang Shao
Omar Montasser
Avrim Blum
290
24
0
15 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
International Conference on Learning Representations (ICLR), 2022
Weixin Liang
James Zou
OOD
212
97
0
14 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
VISIGRAPP (VISIGRAPP), 2022
M. Rath
Alexandru Paul Condurache
151
8
0
08 Feb 2022
BAM: Bayes with Adaptive Memory
International Conference on Learning Representations (ICLR), 2022
Josue Nassar
Jennifer Brennan
Ben Evans
Kendall Lowrey
CLL
KELM
263
2
0
04 Feb 2022
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection
Scientific Reports (Sci Rep), 2022
Giovanni Bocchi
Patrizio Frosini
Alessandra Micheletti
A. Pedretti
Carmen Gratteri
Filippo Lunghini
A. Beccari
Carmine Talarico
144
8
0
31 Jan 2022
Möbius Convolutions for Spherical CNNs
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022
Thomas W. Mitchel
Noam Aigerman
Vladimir G. Kim
Michael Kazhdan
291
14
0
28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
International Conference on Machine Learning (ICML), 2022
Rui Wang
Robin Walters
Rose Yu
355
101
0
28 Jan 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation
Tong Zhang
Haohan Weng
Ke Yi
Chong Chen
101
0
0
15 Jan 2022
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
332
61
0
07 Dec 2021
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon
Koki Nagano
Sanja Fidler
S. Khamis
Y. Lipman
FedML
192
17
0
03 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi
Gregory W. Benton
A. Wilson
BDL
UQCV
195
73
0
02 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning
Utkarsh Singhal
Yifei Xing
Stella X. Yu
244
14
0
02 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
Georg Bökman
Fredrik Kahl
Axel Flinth
3DPC
180
21
0
30 Nov 2021
Implicit Equivariance in Convolutional Networks
Naman Khetan
Tushar Arora
S. U. Rehman
D. K. Gupta
196
6
0
28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Liyao (Mars) Gao
Guang Lin
Wei-wei Zhu
203
9
0
22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
153
0
0
18 Nov 2021
Frequency learning for structured CNN filters with Gaussian fractional derivatives
British Machine Vision Conference (BMVC), 2021
Nikhil Saldanha
S. Pintea
Jan van Gemert
Nergis Tomen
205
11
0
12 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
211
28
0
09 Nov 2021
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
IEEE Transactions on Image Processing (TIP), 2021
Guo-Ye Yang
Xiang-Li Li
Ralph Robert Martin
Shimin Hu
3DPC
197
18
0
05 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Bahar Azari
Deniz Erdoğmuş
251
2
0
02 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Neural Information Processing Systems (NeurIPS), 2021
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
290
36
0
28 Oct 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Weitao Du
Chentao Song
Yuanqi Du
Qi Meng
Wei Chen
Jia Zhang
Tie-Yan Liu
392
100
0
26 Oct 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
International Conference on Machine Learning (ICML), 2021
David M. Knigge
David W. Romero
Erik J. Bekkers
245
35
0
25 Oct 2021
Learning Partial Equivariances from Data
David W. Romero
Suhas Lohit
363
44
0
19 Oct 2021
Augmenting Imitation Experience via Equivariant Representations
Dhruv Sharma
Ali Kuwajerwala
Florian Shkurti
207
2
0
14 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
M. Farrell
Blake Bordelon
Shubhendu Trivedi
Cengiz Pehlevan
375
6
0
14 Oct 2021
Multi-Agent MDP Homomorphic Networks
International Conference on Learning Representations (ICLR), 2021
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
287
34
0
09 Oct 2021
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