919 citations · 1.4k across the 13 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 4 cited
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion
Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie +4
In this work we explore the limiting dynamics of deep neural networks trained with stochastic gradient descent (SGD). As observed previously, long after performance has converged,…
cs.AI2021★ 12 cited
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear, Elias Wang, Damian Mrowca +12
While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments. Here we introduce Physion,…