Genetic InfoMax: Exploring Mutual Information Maximization in
High-Dimensional Imaging Genetics Studies

Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies

26 September 2023

Sheikh Muhammad Saiful Islam

Papers citing "Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies"

12 / 12 papers shown

Title
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 115 350 0 18 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 68 208 0 08 Oct 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 300 2,343 0 04 Mar 2021
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 90 23 0 19 Oct 2020
What Should Not Be Contrastive in Contrastive Learning Tete Xiao Xiaolong Wang Alexei A. Efros Trevor Darrell SSL DRL 72 303 0 13 Aug 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 67 28 0 27 Jul 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 90 1,327 0 20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 350 18,739 0 13 Feb 2020
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 189 1,472 0 03 Jun 2019
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 151 1,074 0 26 Jun 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 307 8,114 0 13 Aug 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 143 1,655 0 02 Jun 2016