Neural Fourier Transform: A General Approach to Equivariant Representation Learning

29 May 2023

Papers citing "Neural Fourier Transform: A General Approach to Equivariant Representation Learning"

9 / 9 papers shown

Title
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 26 0 0 15 Apr 2025
Inter-environmental world modeling for continuous and compositional dynamics Kohei Hayashi Masanori Koyama Julian Jorge Andrade Guerreiro KELM 54 0 0 13 Mar 2025
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 36 2 0 26 Aug 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 1 0 29 May 2024
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 31 10 0 04 Dec 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 39 14 0 16 Oct 2023
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 154 217 0 12 Oct 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018