Rotation-Invariant Autoencoders for Signals on Spheres

8 December 2020

Suhas Lohit

Papers citing "Rotation-Invariant Autoencoders for Signals on Spheres"

29 / 29 papers shown

Title
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 39 69 0 18 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 120 2,023 0 16 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 27 41 0 10 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 34 35 0 08 Apr 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 121 130 0 11 Mar 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 39 133 0 20 Feb 2020
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 33 23 0 31 Aug 2019
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning Ankita Shukla Sarthak Bhagat Shagun Uppal Saket Anand Pavan Turaga CML OOD DRL 29 23 0 22 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 132 2,190 0 05 Jul 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit Qiao Wang Pavan Turaga ViT 30 56 0 13 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 35 167 0 28 May 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 71 408 0 11 Feb 2019
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 46 498 0 24 Dec 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 65 267 0 24 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance Zhixin Shu M. Sahasrabudhe R. Güler Dimitris Samaras Nikos Paragios Iasonas Kokkinos CVBM 91 201 0 18 Jun 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 77 496 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 98 898 0 30 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 48 167 0 07 Jan 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 55 386 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 82 510 0 17 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 49 4,584 0 26 Oct 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 163 2,441 0 10 Mar 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 91 705 0 14 Dec 2016
Understanding How Image Quality Affects Deep Neural Networks Samuel F. Dodge Lina Karam VLM 42 725 0 14 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 96 1,917 0 24 Feb 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 240 7,361 0 05 Jun 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 71 929 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
Scale-Invariant Convolutional Neural Networks Yichong Xu Tianjun Xiao Jiaxing Zhang Kuiyuan Yang Zheng Zhang 61 138 0 24 Nov 2014