'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space

30 December 2019

Papers citing "'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space"

10 / 10 papers shown

Title
Nonlinear dynamics of localization in neural receptive fields Leon Lufkin Andrew M. Saxe Erin Grant 57 2 0 28 Jan 2025
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 42 4 0 23 May 2024
Tradeoff of generalization error in unsupervised learning Gilhan Kim Ho-Jun Lee Junghyo Jo Yongjoo Baek 18 0 0 10 Mar 2023
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 40 13 0 23 Jun 2022
Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling Nicolas Béreux A. Decelle Cyril Furtlehner Beatriz Seoane 4 16 0 02 Jun 2022
The impact of memory on learning sequence-to-sequence tasks Alireza Seif S. Loos Gennaro Tucci É. Roldán Sebastian Goldt 31 5 0 29 May 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 61 38 0 01 Feb 2022
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines A. Decelle Cyril Furtlehner Beatriz Seoane 14 26 0 28 May 2021
Restricted Boltzmann Machine, recent advances and mean-field theory A. Decelle Cyril Furtlehner AI4CE 17 54 0 23 Nov 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016