Infomax strategies for an optimal balance between exploration and exploitation. - Gautam Reddy; Antonio Celani; Massimo Vergassola (CoRR, 2016)

Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation. - Chaitanya Ryali; Gautam Reddy; Angela J. Yu (NeurIPS, 2018)

Glider soaring via reinforcement learning in the field. - Gautam Reddy; Jérôme Wong-Ng; Antonio Celani; Terrence J. Sejnowski; Massimo Vergassola (Nat., 2018)

Learning to soar using atmospheric thermals. - Gautam Reddy (2019)

A lexical approach for identifying behavioural action sequences. - Gautam Reddy; Laura Desban; Hidenori Tanaka; Julian Roussel; Olivier Mirat; Claire Wyart (PLoS Comput. Biol., 2022)

Act2Code: Generating Sequential Robotic Instructions from Video Demonstration. - Gautam Reddy; Abhinav Upadhyay; Alpana Dubey; Shubhashis Sengupta; Piyush Goenka (COMAD/CODS, 2024)

The mechanistic basis of data dependence and abrupt learning in an in-context classification task. - Gautam Reddy (ICLR, 2024)

Action2Code: Transforming Video Demonstrations into Sequential Robotic Instructions. - Abhinav Upadhyay; Gautam Reddy; Alpana Dubey; Shubham Saurav; Shubhashis Sengupta (UR, 2024)

Differential learning kinetics govern the transition from memorization to generalization during in-context learning. - Alex Nguyen; Gautam Reddy (ICLR, 2025)

Inferring genotype-phenotype maps using attention models. - Krishna Rijal; Caroline M. Holmes; Samantha Petti; Gautam Reddy; Michael M. Desai; Pankaj Mehta (CoRR, 2025)

In-Context Learning Strategies Emerge Rationally. - Daniel Wurgaft; Ekdeep Singh Lubana; Core Francisco Park; Hidenori Tanaka; Gautam Reddy; Noah D. Goodman (CoRR, 2025)