2 papers
cs.LG2026
From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
Max Hennick, Guillaume Corlouer
A key problem in the modern study of AI is predicting and understanding emergent capabilities in models during training. Inspired by methods for studying reactions in quantum chemi…
cs.LG2025
Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
Max Hennick, Stijn De Baerdemacker
We show that the behavior of stochastic gradient descent is related to Bayesian statistics by showing that SGD is effectively diffusion on a fractal landscape, where the fractal di…