Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. - Tankut Can; Kamesh Krishnamurthy; David J. Schwab (MSML, 2020)

Theory of gating in recurrent neural networks. - Kamesh Krishnamurthy; Tankut Can; David J. Schwab (CoRR, 2020)

Disorder and the Neural Representation of Complex Odors. - Kamesh Krishnamurthy; Ann M. Hermundstad; Thierry Mora; Aleksandra M. Walczak; Vijay Balasubramanian (Frontiers Comput. Neurosci., 2022)

Trainability, Expressivity and Interpretability in Gated Neural ODEs. - Timothy Doyeon Kim; Tankut Can; Kamesh Krishnamurthy (ICML, 2023)

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. - Taylor W. Webb; Steven M. Frankland; Awni Altabaa; Kamesh Krishnamurthy; Declan Campbell; Jacob L. Russin; Randall C. O'Reilly; John Lafferty; Jonathan D. Cohen 003 (CoRR, 2023)

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks. - Cutter Dawes; Simon N. Segert; Kamesh Krishnamurthy; Jonathan D. Cohen 003 (CoRR, 2025)