310 citations · 1.9k across the 36 of their papers we have counts for
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q-bio.NC2023★ 2 cited
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy +4
Recently, growth in our understanding of the computations performed in both biological and artificial neural networks has largely been driven by either low-level mechanistic studie…
cs.LG2023★ 2 cited
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
Yehonatan Avidan, Qianyi Li, Haim Sompolinsky
Artificial neural networks have revolutionized machine learning in recent years, but a complete theoretical framework for their learning process is still lacking. Substantial advan…