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cs.LG2026
From the Loss Landscape to Diverse Feature Learning in Neural Networks
David Aram Yunis
Over the course of the last decade, neural networks have grown from an academic curiosity to moving the markets of nations. Despite this explosion in both research and deployment,…
cs.LG2024
Approaching Deep Learning through the Spectral Dynamics of Weights
David Yunis, Kumar Kshitij Patel, Samuel Wheeler +5
We propose an empirical approach centered on the spectral dynamics of weights -- the behavior of singular values and vectors during optimization -- to unify and clarify several phe…
cs.LG2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis, Justin Jung, Falcon Dai +1
Exploration in sparse-reward reinforcement learning is difficult due to the requirement of long, coordinated sequences of actions in order to achieve any reward. Moreover, in conti…