High-dimensional manifold of solutions in neural networks: insights from statistical physics

20 February 2025

Papers citing "High-dimensional manifold of solutions in neural networks: insights from statistical physics"

6 / 6 papers shown

Title
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks B. Annesi Enrico M. Malatesta Francesco Zamponi 40 2 0 09 Oct 2024
The twin peaks of learning neural networks Elizaveta Demyanenko Christoph Feinauer Enrico M. Malatesta Luca Saglietti 24 0 0 23 Jan 2024
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights Carlo Baldassi Enrico M. Malatesta Gabriele Perugini R. Zecchina MQ 44 11 0 26 Apr 2023
Plateau in Monotonic Linear Interpolation -- A "Biased" View of Loss Landscape for Deep Networks Xiang Wang Annie Wang Mo Zhou Rong Ge MoMe 160 10 0 03 Oct 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry Fabrizio Pittorino Antonio Ferraro Gabriele Perugini Christoph Feinauer Carlo Baldassi R. Zecchina 204 24 0 07 Feb 2022
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron Emmanuel Abbe Shuangping Li Allan Sly 41 40 0 25 Feb 2021