Equivariant neural networks for inverse problems

Equivariant neural networks for inverse problems

23 February 2021

Matthias Joachim Ehrhardt

Christian Etmann

Carola-Bibiane Schönlieb

Papers citing "Equivariant neural networks for inverse problems"

9 / 9 papers shown

Title
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 41 1 0 03 Oct 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 58 0 0 10 Jun 2024
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 38 61 0 11 Nov 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 14 7 0 21 Apr 2022
Equivariance Regularization for Image Reconstruction Junqi Tang 19 2 0 10 Feb 2022
Learning Hamiltonians of constrained mechanical systems E. Celledoni A. Leone Davide Murari B. Owren AI4CE 41 17 0 31 Jan 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 23 59 0 25 Nov 2021
Stochastic Primal-Dual Deep Unrolling Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 19 4 0 19 Oct 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 162 308 0 05 Nov 2018