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Harmonic Networks: Deep Translation and Rotation Equivariance
v1v2 (latest)

Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
ArXiv (abs)PDFHTML

Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

50 / 432 papers shown
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
Alexandru Paul Condurache
299
5
0
17 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on
  Training Sets
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
Lorenzo Brigato
Stavroula Mougiakakou
199
1
0
08 Mar 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
240
1
0
23 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for
  Arbitrary Matrix Groups
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
Sourya Basu
Suhas Lohit
Matthew Brand
154
2
0
23 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks
Approximately Piecewise E(3) Equivariant Point Networks
Matan Atzmon
Jiahui Huang
Francis Williams
Or Litany
3DPC
175
3
0
13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation
Social Physics Informed Diffusion Model for Crowd Simulation
Hongyi Chen
Jingtao Ding
Yong Li
Yue Wang
Xiao-Ping Zhang
AI4CE
172
18
0
08 Feb 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
Jan van Gemert
297
15
0
02 Feb 2024
A Characterization Theorem for Equivariant Networks with Point-wise
  Activations
A Characterization Theorem for Equivariant Networks with Point-wise ActivationsInternational Conference on Learning Representations (ICLR), 2024
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
256
5
0
17 Jan 2024
Dual-scale Enhanced and Cross-generative Consistency Learning for
  Semi-supervised Polyp Segmentation
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation
Yunqi Gu
Tao Zhou
Yizhe Zhang
Yi Zhou
Kelei He
Chen Gong
Huazhu Fu
279
0
0
26 Dec 2023
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in
  Image Restoration
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
J. Fu
Qi Xie
Deyu Meng
Zongben Xu
200
18
0
25 Dec 2023
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain
  MRI
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
Benjamin Billot
Neel Dey
Daniel Moyer
M. Hoffmann
Esra Abaci Turk
B. Gagoski
Ellen Grant
Polina Golland
3DPC
448
9
0
21 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors
Steerers: A framework for rotation equivariant keypoint descriptorsComputer Vision and Pattern Recognition (CVPR), 2023
Georg Bökman
Johan Edstedt
Michael Felsberg
Fredrik Kahl
LLMSV
192
20
0
04 Dec 2023
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Few-shot Shape Recognition by Learning Deep Shape-aware FeaturesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Wenlong Shi
Changsheng Lu
Ming Shao
Yinjie Zhang
Si-Yu Xia
Piotr Koniusz
241
2
0
03 Dec 2023
A Comparison Between Invariant and Equivariant Classical and Quantum
  Graph Neural Networks
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
Roy T. Forestano
Marçal Comajoan Cara
Gopal Ramesh Dahale
Zhongtian Dong
S. Gleyzer
...
Kyoungchul Kong
Tom Magorsch
Konstantin T. Matchev
Katia Matcheva
Eyup B. Unlu
GNN
368
9
0
30 Nov 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural
  Network for Protein Side-Chain Packing
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
Gian Marco Visani
William Galvin
Michael N. Pun
Armita Nourmohammad
169
12
0
15 Nov 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial
  Mental Rotation
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
Lukas Tuggener
Thilo Stadelmann
Jürgen Schmidhuber
OOD
229
5
0
14 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks
Affine Invariance in Continuous-Domain Convolutional Neural Networks
A. Mohaddes
Johannes Lederer
287
1
0
13 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks
H-NeXt: The next step towards roto-translation invariant networksBritish Machine Vision Conference (BMVC), 2023
Tomáš Karella
F. Šroubek
J. Flusser
Jan Blazek
Vasek Kosik
237
3
0
02 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural
  Fields
Latent Field Discovery In Interacting Dynamical Systems With Neural FieldsNeural Information Processing Systems (NeurIPS), 2023
Miltiadis Kofinas
Erik J. Bekkers
N. S. Nagaraja
E. Gavves
AI4CE
405
9
0
31 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Learning Layer-wise Equivariances Automatically using GradientsNeural Information Processing Systems (NeurIPS), 2023
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
301
21
0
09 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie
  Algebras
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie AlgebrasInternational Conference on Machine Learning (ICML), 2023
Tzu-Yuan Lin
Minghan Zhu
Maani Ghaffari
437
5
0
06 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group ConvolutionInternational Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
743
19
0
03 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space
  Communication
From Bricks to Bridges: Product of Invariances to Enhance Latent Space CommunicationInternational Conference on Learning Representations (ICLR), 2023
Irene Cannistraci
Luca Moschella
Marco Fumero
Valentino Maiorca
Emanuele Rodolà
247
19
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
313
5
0
02 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal
  Predictors
Improving Equivariance in State-of-the-Art Supervised Depth and Normal PredictorsIEEE International Conference on Computer Vision (ICCV), 2023
Yuanyi Zhong
Anand Bhattad
Yu-Xiong Wang
David Forsyth
MDE
201
3
0
28 Sep 2023
Convolutional Networks with Oriented 1D Kernels
Convolutional Networks with Oriented 1D KernelsIEEE International Conference on Computer Vision (ICCV), 2023
Alexandre Kirchmeyer
Jia Deng
232
7
0
27 Sep 2023
Flow Factorized Representation Learning
Flow Factorized Representation LearningNeural Information Processing Systems (NeurIPS), 2023
Yue Song
Thomas Anderson Keller
Andrii Zadaianchuk
Max Welling
DRLOOD
334
5
0
22 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training
  on Small Datasets
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Lorenzo Brigato
Stavroula Mougiakakou
204
5
0
04 Sep 2023
On genuine invariance learning without weight-tying
On genuine invariance learning without weight-tying
A. Moskalev
A. Sepliarskaia
Erik J. Bekkers
A. Smeulders
CMLOOD
166
11
0
07 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free
  Substitute Attacks
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
285
2
0
24 Jul 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle
  Data Manifold
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data ManifoldIEEE International Joint Conference on Neural Network (IJCNN), 2023
Pourya Shamsolmoali
Masoumeh Zareapoor
227
1
0
24 Jul 2023
Capsule network with shortcut routing
Capsule network with shortcut routingIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (IEICE Trans. Fundam.), 2021
Thanh-Vu Dang
Hoang-Trong Vo
Gwanghyun Yu
Jin Young Kim
112
2
0
14 Jul 2023
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis
Regular SE(3) Group Convolutions for Volumetric Medical Image AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
T. Kuipers
Erik J. Bekkers
136
6
0
24 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to
  Higher-Degree Representations
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree RepresentationsInternational Conference on Learning Representations (ICLR), 2023
Yidong Liao
Brandon M. Wood
Abhishek Das
Tess E. Smidt
447
247
0
21 Jun 2023
Modularity Trumps Invariance for Compositional Robustness
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
218
1
0
15 Jun 2023
$E(2)$-Equivariant Vision Transformer
E(2)E(2)E(2)-Equivariant Vision TransformerConference on Uncertainty in Artificial Intelligence (UAI), 2023
Renjun Xu
Kaifan Yang
Ke Liu
Fengxiang He
ViTMDE
256
20
0
11 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential
  Equations
Group Equivariant Fourier Neural Operators for Partial Differential EquationsInternational Conference on Machine Learning (ICML), 2023
Jacob Helwig
Xuan Zhang
Cong Fu
Jerry Kurtin
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
267
42
0
09 Jun 2023
Subequivariant Graph Reinforcement Learning in 3D Environments
Subequivariant Graph Reinforcement Learning in 3D EnvironmentsInternational Conference on Machine Learning (ICML), 2023
Runfa Chen
Jiaqi Han
Gang Hua
Wen-bing Huang
OffRL
156
13
0
30 May 2023
Learning Linear Groups in Neural Networks
Learning Linear Groups in Neural Networks
Emmanouil Theodosis
Karim Helwani
Demba E. Ba
AI4CE
149
0
0
29 May 2023
Investigating how ReLU-networks encode symmetries
Investigating how ReLU-networks encode symmetriesNeural Information Processing Systems (NeurIPS), 2023
Georg Bökman
Fredrik Kahl
231
7
0
26 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and
  Applications
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortés
Yue Yu
R. Chen
Melissa S. Armstrong
David E Vaillancourt
B. Vemuri
238
2
0
26 May 2023
Sorted Convolutional Network for Achieving Continuous Rotational
  Invariance
Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Hanlin Mo
Guoying Zhao
114
0
0
23 May 2023
Subspace-Configurable Networks
Subspace-Configurable Networks
Dong Wang
O. Saukh
Xiaoxi He
Lothar Thiele
OOD
279
0
0
22 May 2023
Clifford Group Equivariant Neural Networks
Clifford Group Equivariant Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
David Ruhe
Johannes Brandstetter
Patrick Forré
506
63
0
18 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks
An Exploration of Conditioning Methods in Graph Neural Networks
Yeskendir Koishekenov
Erik J. Bekkers
AI4CE
231
3
0
03 May 2023
Learning to Transmit with Provable Guarantees in Wireless Federated
  Learning
Learning to Transmit with Provable Guarantees in Wireless Federated LearningIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Boning Li
Jake B. Perazzone
A. Swami
Santiago Segarra
240
6
0
18 Apr 2023
SO(2) and O(2) Equivariance in Image Recognition with
  Bessel-Convolutional Neural Networks
SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks
Valentin Delchevalerie
Alexandre Mayer
Adrien Bibal
Benoit Frénay
112
1
0
18 Apr 2023
Rotation-Scale Equivariant Steerable Filters
Rotation-Scale Equivariant Steerable FiltersInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Yi-Lun Yang
S. Dasmahapatra
S. Mahmoodi
184
4
0
10 Apr 2023
The G-invariant graph Laplacian
The G-invariant graph Laplacian
E. Rosen
Paulina Hoyos
Xiuyuan Cheng
Joe Kileel
Y. Shkolnisky
388
1
0
29 Mar 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
4D Panoptic Segmentation as Invariant and Equivariant Field PredictionIEEE International Conference on Computer Vision (ICCV), 2023
Minghan Zhu
Shizong Han
H. Cai
Shubhankar Borse
M. G. Jadidi
Fatih Porikli
3DPC
259
19
0
28 Mar 2023
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