ML Anthology

Yunis, David

6 publications

CVPR 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations Xiao Zhang, David Yunis, Michael Maire
ICMLW 2024 Grokking, Rank Minimization and Generalization in Deep Learning David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter
ICMLW 2024 Rank Minimization, Alignment and Weight Decay in Neural Networks David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter
NeurIPS 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter
NeurIPSW 2023 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis, Justin Jung, Falcon Dai, Matthew Walter
NeurIPSW 2022 On Convexity and Linear Mode Connectivity in Neural Networks David Yunis, Kumar Kshitij Patel, Pedro Henrique Pamplona Savarese, Gal Vardi, Jonathan Frankle, Matthew Walter, Karen Livescu, Michael Maire