2 papers
cs.LG2025
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
Jialin Mao, Itay Griniasty, Yan Sun +3
Recent experiments have shown that training trajectories of multiple deep neural networks with different architectures, optimization algorithms, hyper-parameter settings, and regul…
physics.optics2025
A Kerr soliton Ising machine for combinatorial optimization problems
Yan Jin, Nitesh Chauhan, Jizhao Zang +4
The growing challenges of scaling digital computing motivate new approaches, especially through the dynamical evolution of physical systems that mimic neural networks and combinato…