Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 499 papers shown

Title
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 85 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 40 2 0 17 Oct 2022
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection Chongyu Sun Yang Xu Zebin Wu Zhihui Wei 28 4 0 17 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 45 89 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 33 73 0 14 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 28 29 0 12 Oct 2022
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 52 9 0 11 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 56 9 0 07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 23 35 0 06 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 32 12 0 03 Oct 2022
Learning Equivariant Segmentation with Instance-Unique Querying Wenguan Wang James Liang Dongfang Liu ISeg 43 48 0 03 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 28 10 0 29 Sep 2022
In Search of Projectively Equivariant Networks Georg Bökman Axel Flinth Fredrik Kahl 56 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 20 3 0 24 Sep 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 54 12 0 23 Sep 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 27 5 0 22 Sep 2022
Equivariant Transduction through Invariant Alignment Jennifer C. White Ryan Cotterell 19 4 0 22 Sep 2022
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks Christian Graf David B. Adrian Joshua Weil Miroslav Gabriel Philipp Schillinger Markus Spies Heiko Neumann A. Kupcsik SSL 38 6 0 12 Sep 2022
SELTO: Sample-Efficient Learned Topology Optimization Sören Dittmer David Erzmann Henrik Harms Peter Maass 35 2 0 12 Sep 2022
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis Florian A. Hölzl Daniel Rueckert Georgios Kaissis FedML MedIm 39 1 0 09 Sep 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 37 12 0 07 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 27 28 0 05 Sep 2022
MRL: Learning to Mix with Attention and Convolutions Shlok Mohta Hisahiro Suganuma Yoshiki Tanaka 28 2 0 30 Aug 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 34 6 0 18 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 55 372 0 05 Aug 2022
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval Yilan Zhang Feng-ying Xie Xuedong Song Hangning Zhou Yiguang Yang Haopeng Zhang Jie Liu OOD 16 9 0 01 Aug 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 30 22 0 26 Jul 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 144 1 0 24 Jul 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 Klee Ondrej Biza Robert Platt Robin Walters 26 4 0 18 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 34 28 0 18 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 21 1 0 14 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 35 15 0 07 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 43 191 0 06 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 46 6 0 03 Jul 2022
Offset equivariant networks and their applications Marco Cotogni C. Cusano 40 7 0 01 Jul 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution Xinrui Zhan Yang Li Wenyu Liu Jianke Zhu 38 0 0 23 Jun 2022
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations Marius Kurz Philipp Offenhäuser Andrea Beck AI4CE 21 56 0 21 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 31 22 0 17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Yan Sun Kostas Daniilidis 36 19 0 16 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning Hyunwoo Ryu Jeong-Hoon Lee Honglak Lee Jongeun Choi 42 54 0 16 Jun 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields Ilyes Batatia D. P. Kovács G. Simm Christoph Ortner Gábor Csányi 47 446 0 15 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 32 18 0 11 Jun 2022
Convolutional layers are equivariant to discrete shifts but not continuous translations N. McGreivy Ammar Hakim 27 1 0 10 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 49 18 0 08 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin Walters Lawson L. S. Wong 26 7 0 08 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 39 19 0 06 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 37 6 0 05 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 25 38 0 31 May 2022
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems J. Frank Oliver T. Unke Klaus-Robert Muller 27 43 0 28 May 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks Gregor Bachmann Lorenzo Noci Thomas Hofmann BDL AAML 82 8 0 27 May 2022