Fluctuation-dissipation relations for stochastic gradient descent. - Sho Yaida (ICLR (Poster), 2019)

Robust Learning with Jacobian Regularization. - Judy Hoffman; Daniel A. Roberts; Sho Yaida (CoRR, 2019)

Non-Gaussian processes and neural networks at finite widths. - Sho Yaida (MSML, 2020)

The Principles of Deep Learning Theory. - Daniel A. Roberts; Sho Yaida; Boris Hanin (CoRR, 2021)

Meta-Principled Family of Hyperparameter Scaling Strategies. - Sho Yaida (CoRR, 2022)

Effective Theory of Transformers at Initialization. - Emily Dinan; Sho Yaida; Susan Zhang (CoRR, 2023)