Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. - Jason Z. Kim; Zhixin Lu; Erfan Nozari; George J. Pappas; Danielle S. Bassett (CoRR, 2020)

Learning Continuous Chaotic Attractors with a Reservoir Computer. - Lindsay M. Smith; Jason Z. Kim; Zhixin Lu; Danielle S. Bassett (CoRR, 2021)

Citation inequity and gendered citation practices in contemporary physics. - Erin G. Teich; Jason Z. Kim; Christopher W. Lynn; Samantha C. Simon; Andrei A. Klishin; Karol P. Szymula; Pragya Srivastava; Lee C. Bassett; Perry Zurn; Jordan D. Dworkin; Danielle S. Bassett (CoRR, 2021)

Teaching recurrent neural networks to infer global temporal structure from local examples. - Jason Z. Kim; Zhixin Lu; Erfan Nozari; George J. Pappas; Danielle S. Bassett (Nat. Mach. Intell., 2021)

A neural machine code and programming framework for the reservoir computer. - Jason Z. Kim; Dani S. Bassett (Nat. Mac. Intell., 2023)

Publisher Correction: A neural machine code and programming framework for the reservoir computer. - Jason Z. Kim; Dani S. Bassett (Nat. Mac. Intell., 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)