Contrasting random and learned features in deep Bayesian linear
regression

Contrasting random and learned features in deep Bayesian linear regression

1 March 2022

Jacob A. Zavatone-Veth

William L. Tong

Cengiz Pehlevan

Papers citing "Contrasting random and learned features in deep Bayesian linear regression"

14 / 14 papers shown

Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime Francesco Camilli D. Tieplova Eleonora Bergamin Jean Barbier 204 0 0 06 May 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon Cengiz Pehlevan AI4CE 71 1 0 04 Feb 2025
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 68 1 0 27 May 2024
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks Blake Bordelon Cengiz Pehlevan MLT 43 29 0 06 Apr 2023
Learning curves for deep structured Gaussian feature models Jacob A. Zavatone-Veth Cengiz Pehlevan MLT 30 11 0 01 Mar 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width Hugo Cui Florent Krzakala Lenka Zdeborová BDL 30 35 0 01 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 30 6 0 26 Jan 2023
Spectral Evolution and Invariance in Linear-width Neural Networks Zhichao Wang A. Engel Anand D. Sarwate Ioana Dumitriu Tony Chiang 45 14 0 11 Nov 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon Cengiz Pehlevan MLT 45 77 0 19 May 2022
Unified field theoretical approach to deep and recurrent neuronal networks Kai Segadlo Bastian Epping Alexander van Meegen David Dahmen Michael Krämer M. Helias AI4CE BDL 43 20 0 10 Dec 2021
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 40 22 0 14 Jul 2021
Asymptotics of representation learning in finite Bayesian neural networks Jacob A. Zavatone-Veth Abdulkadir Canatar Benjamin S. Ruben Cengiz Pehlevan 26 28 0 01 Jun 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 98 152 0 02 Mar 2020
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 175 51 0 17 Oct 2019