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"

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SE(3)-equivariant prediction of molecular wavefunctions and electronic densities Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 34 86 0 04 Jun 2021
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Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
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Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 24 31 0 25 May 2021
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Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 27 6 0 10 Apr 2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images Yanwen Li Luyang Luo Huangjing Lin Hao Chen Pheng-Ann Heng 14 52 0 07 Apr 2021
Generalization capabilities of translationally equivariant neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 30 20 0 26 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 32 520 0 13 Mar 2021
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators Pasquale Cascarano Patrizio Frosini Nicola Quercioli A. Saki 22 3 0 03 Mar 2021
Abelian Neural Networks Kenshi Abe Takanori Maehara Issei Sato 11 2 0 24 Feb 2021
Equivariant neural networks for inverse problems E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 14 26 0 23 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 25 28 0 13 Feb 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 24 18 0 25 Jan 2021
Rotation Equivariant Siamese Networks for Tracking D. K. Gupta Devanshu Arya E. Gavves 31 36 0 24 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 26 111 0 20 Dec 2020
Augmentation Inside the Network Maciej Sypetkowski Jakub Jasiulewicz Z. Wojna OOD 14 2 0 19 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 95 1,377 0 14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Michael Carbin Zhangyang Wang 27 123 0 12 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 32 0 0 04 Dec 2020
Kernel-convoluted Deep Neural Networks with Data Augmentation Minjin Kim Young-geun Kim Dongha Kim Yongdai Kim M. Paik 17 0 0 04 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 36 30 0 25 Nov 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 19 2 0 23 Nov 2020
Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer L. Rey Vlado Menkovski Mike Holenderski J. Portegies FedML CoGe DRL 21 13 0 11 Nov 2020
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 29 14 0 04 Nov 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 21 69 0 22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 43 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 35 53 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 29 13 0 21 Oct 2020