General $E(2)$ -Equivariant Steerable CNNs

19 November 2019

Papers citing "General $E(2)$-Equivariant Steerable CNNs"

50 / 126 papers shown

Title
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 29 5 0 12 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 0 12 Dec 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 24 51 0 24 Nov 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 19 2 0 15 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 48 17 0 24 Oct 2022
Robustcaps: a transformation-robust capsule network for image classification Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 13 2 0 20 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 24 35 0 12 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 26 29 0 12 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 16 34 0 06 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 28 12 0 03 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
In Search of Projectively Equivariant Networks Georg Bökman Axel Flinth Fredrik Kahl 37 0 0 29 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 14 5 0 22 Sep 2022
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis Florian A. Hölzl Daniel Rueckert Georgios Kaissis FedML MedIm 29 1 0 09 Sep 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 28 12 0 07 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 21 4 0 18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis Damien Ferbach Christos Tsirigotis Gauthier Gidel Avishek A. Bose 32 16 0 09 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework Dian Wang Colin Kohler Xu Zhu Ming Jia Robert W. Platt 24 9 0 28 May 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 18 35 0 19 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 36 55 0 31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 16 15 0 31 Mar 2022
ReF -- Rotation Equivariant Features for Local Feature Matching Abhishek Peri K. Mehta Avneesh Mishra Michael Milford Sourav Garg K. M. Krishna 25 5 0 10 Mar 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin G. Walters Robert W. Platt OffRL SSL 28 35 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin G. Walters Robert W. Platt 28 78 0 08 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
Equivariant Transporter Network Hao-zhe Huang Dian Wang Robin G. Walters Robert W. Platt 56 53 0 18 Feb 2022
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 50 0 02 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 26 19 0 30 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 20 8 0 22 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin G. Walters Xu Zhu Robert W. Platt 25 72 0 28 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 50 79 0 26 Oct 2021
Rotation Equivariant Deforestation Segmentation and Driver Classification Joshua Mitton Roderick Murray-Smith 11 6 0 25 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 24 16 0 15 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 C. Pehlevan 13 5 0 14 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 32 14 0 12 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 229 0 06 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 30 3 0 14 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 22 4 0 31 Aug 2021
Convolutional Filtering and Neural Networks with Non Commutative Algebras Alejandro Parada-Mayorga Landon Butler Alejandro Ribeiro 27 10 0 23 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 64 0 02 Jul 2021

General E(2)E(2)E(2)-Equivariant Steerable CNNs

Papers citing "General $E(2)$-Equivariant Steerable CNNs"

General $E(2)$ -Equivariant Steerable CNNs