Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions

31 March 2025

Papers citing "Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions"

21 / 21 papers shown

Title
Nonlinear dynamics of localization in neural receptive fields Leon Lufkin Andrew M. Saxe Erin Grant 100 2 0 28 Jan 2025
On the universality of neural encodings in CNNs Florentin Guth Brice Ménard SSL 101 5 0 28 Sep 2024
Sliding down the stairs: how correlated latent variables accelerate learning with neural networks Lorenzo Bardone Sebastian Goldt 61 7 0 12 Apr 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time Yatin Dandi Florent Krzakala Bruno Loureiro Luca Pesce Ludovic Stephan MLT 68 29 0 29 May 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models Alexandru Damian Eshaan Nichani Rong Ge Jason D. Lee MLT 77 36 0 18 May 2023
Large Dimensional Independent Component Analysis: Statistical Optimality and Computational Tractability Arnab Auddy M. Yuan CML 23 8 0 31 Mar 2023
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics Emmanuel Abbe Enric Boix-Adserà Theodor Misiakiewicz FedML MLT 130 86 0 21 Feb 2023
Neural networks trained with SGD learn distributions of increasing complexity Maria Refinetti Alessandro Ingrosso Sebastian Goldt UQCV 108 41 0 21 Nov 2022
Neural Networks can Learn Representations with Gradient Descent Alexandru Damian Jason D. Lee Mahdi Soltanolkotabi SSL MLT 90 122 0 30 Jun 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba Murat A. Erdogdu Taiji Suzuki Zhichao Wang Denny Wu Greg Yang MLT 87 128 0 03 May 2022
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity Rishabh Dudeja Daniel J. Hsu 34 12 0 15 Apr 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 98 38 0 01 Feb 2022
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins Jingkai Li T. Schramm 56 65 0 13 Sep 2020
Online stochastic gradient descent on non-convex losses from high-dimensional inference Gerard Ben Arous Reza Gheissari Aukosh Jagannath 65 89 0 23 Mar 2020
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio Dmitriy Kunisky Alexander S. Wein Afonso S. Bandeira 73 145 0 26 Jul 2019
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures Ilias Diakonikolas D. Kane Alistair Stewart 67 233 0 10 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
A statistical model for tensor PCA Andrea Montanari E. Richard 73 264 0 04 Nov 2014
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 435 1,145 0 29 Oct 2012
Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders Sanjeev Arora Rong Ge Ankur Moitra Sushant Sachdeva 145 86 0 23 Jun 2012