Kamesh Krishnamurthy

According to our database, Kamesh Krishnamurthy authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Hybrid Associative Memories.

Leon Lufkin, Tomas Figliolia, Beren Millidge, Kamesh Krishnamurthy

CoRR, March, 2026

2025

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

CoRR, July, 2025

Flow-field inference from neural data using deep recurrent networks.

Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, Kamesh Krishnamurthy, Jonathan W. Pillow, Carlos D. Brody

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

CoRR, 2023

Trainability, Expressivity and Interpretability in Gated Neural ODEs.

Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy

Proceedings of the International Conference on Machine Learning, 2023

2022

Disorder and the Neural Representation of Complex Odors.

Kamesh Krishnamurthy, Ann M. Hermundstad, Thierry Mora, Aleksandra M. Walczak, Vijay Balasubramanian

Frontiers Comput. Neurosci., 2022

2020

Theory of gating in recurrent neural networks.

Kamesh Krishnamurthy, Tankut Can, David J. Schwab

CoRR, 2020

Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs.

Tankut Can, Kamesh Krishnamurthy, David J. Schwab

Proceedings of Mathematical and Scientific Machine Learning, 2020