On the Versatile Uses of Partial Distance Correlation in Deep Learning

20 July 2022

Papers citing "On the Versatile Uses of Partial Distance Correlation in Deep Learning"

7 / 7 papers shown

Title
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Lorenzo Basile Santiago Acevedo Luca Bortolussi Fabio Anselmi Alex Rodriguez 34 4 0 22 Jun 2024
Neural Lineage Runpeng Yu Xinchao Wang 26 4 0 17 Jun 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 2 0 29 Feb 2024
Equiangular Basis Vectors Yang Shen Xuhao Sun Xiuying Wei 33 7 0 21 Mar 2023
Learning Invariant Representations using Inverse Contrastive Loss A. K. Akash Vishnu Suresh Lokhande Sathya Ravi Vikas Singh SSL 15 8 0 16 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 169 2,575 0 28 Mar 2008