Hysteresis, avalanches, and noise. - Matthew C. Kuntz; Olga Perkovic; Karin A. Dahmen; Bruce W. Roberts; James P. Sethna (Comput. Sci. Eng., 1999)

Python Unleashed on Systems Biology. - Christopher R. Myers; Ryan N. Gutenkunst; James P. Sethna (Comput. Sci. Eng., 2007)

Python for Education: Computational Methods for Nonlinear Systems. - Christopher R. Myers; James P. Sethna (Comput. Sci. Eng., 2007)

Universally Sloppy Parameter Sensitivities in Systems Biology Models. - Ryan N. Gutenkunst; Joshua J. Waterfall; Fergal P. Casey; Kevin S. Brown 001; Christopher R. Myers; James P. Sethna (PLoS Comput. Biol., 2007)

Is Dislocation Flow Turbulent in Deformed Crystals? - Woosong Choi; Yong Chen; Stefanos Papanikolaou; James P. Sethna (Comput. Sci. Eng., 2012)

Senescent Cells in Growing Tumors: Population Dynamics and Cancer Stem Cells. - Caterina A. M. La Porta; Stefano Zapperi; James P. Sethna (PLoS Comput. Biol., 2012)

Collective Motion of Moshers at Heavy Metal Concerts - Jesse L. Silverberg; Matthew Bierbaum; James P. Sethna; Itai Cohen (CoRR, 2013)

Jeffrey's prior sampling of deep sigmoidal networks. - Lorien X. Hayden; Alexander A. Alemi; Paul H. Ginsparg; James P. Sethna (CoRR, 2017)

Chebyshev approximation and the global geometry of sloppy models. - Katherine N. Quinn; Heather Wilber; Alex Townsend; James P. Sethna (CoRR, 2018)

A Picture of the Space of Typical Learnable Tasks. - Rahul Ramesh; Jialin Mao; Itay Griniasty; Rubing Yang; Han Kheng Teoh; Mark K. Transtrum; James P. Sethna; Pratik Chaudhari (ICML, 2023)

The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. - Jialin Mao; Itay Griniasty; Han Kheng Teoh; Rahul Ramesh; Rubing Yang; Mark K. Transtrum; James P. Sethna; Pratik Chaudhari (CoRR, 2023)

Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data. - Jason Z. Kim; Nicolas Perrin-Gilbert; Erkan Narmanli; Paul Klein; Christopher R. Myers; Itai Cohen; Joshua J. Waterfall; James P. Sethna (CoRR, 2024)

An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models. - Jialin Mao; Itay Griniasty; Yan Sun; Mark K. Transtrum; James P. Sethna; Pratik Chaudhari (CoRR, 2025)