Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow
in Phase Retrieval

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

12 June 2020

Stefano Sarao Mannelli

Florent Krzakala

Pierfrancesco Urbani

Lenka Zdeborová

Papers citing "Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval"

5 / 5 papers shown

Title
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens Vittorio Erba Emanuele Troiani Luca Biggio Antoine Maillard Lenka Zdeborová 28 0 0 24 Oct 2024
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy Michael Celentano 46 20 0 19 Aug 2022
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 27 25 0 15 Jun 2021
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization Jun-Kun Wang Jacob D. Abernethy 13 7 0 04 Oct 2020
Hiding Quiet Solutions in Random Constraint Satisfaction Problems Florent Krzakala Lenka Zdeborová 67 110 0 14 Jan 2009