Eigendecomposition-Free Training of Deep Networks for Linear
Least-Square Problems

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

15 April 2020

Fei Wang

Mathieu Salzmann

Papers citing "Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems"

6 / 6 papers shown

Title
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 43 6 0 11 Dec 2022
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization Xin Wu Hao Zhao Shunkai Li Yingdian Cao H. Zha 28 17 0 23 Oct 2022
Batch-efficient EigenDecomposition for Small and Medium Matrices Yue Song N. Sebe Wei Wang 49 2 0 09 Jul 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 49 8 0 05 Jul 2022
Fast Differentiable Matrix Square Root and Inverse Square Root Yue Song N. Sebe Wei Wang 55 16 0 29 Jan 2022
Fast Differentiable Matrix Square Root Yue Song N. Sebe Wei Wang 24 14 0 21 Jan 2022