Tong, William, Anisha Iyer, Venkatesh Murthy, and Gautam Reddy. 2023. “Adaptive Algorithms for Shaping Behavior”. BioRxiv. Cold Spring Harbor Laboratory, 2023–12.

Reddy, Gautam. 2023. “The Mechanistic Basis of Data Dependence and Abrupt Learning in an in-Context Classification Task”. ArXiv Preprint arXiv:2312.03002.

Celani, Antonio, Gautam Reddy, and Massimo Vergassola. 2022. “Sticky Issues in Turbulent Transport”. In Annales Henri Poincar{\’e}, 1–17.

Zak, Joseph, Gautam Reddy, Vaibhav Konanur, and Venkatesh Murthy. 2023. “Distinct Information Conveyed to the Olfactory Bulb by Feedforward Input from the Nose and Feedback from the Cortex”. BioRxiv. Cold Spring Harbor Laboratory, 2023–10.

He, Danyun, Gautam Reddy, and Chris Rycroft. 2023. “Energy-Positive Soaring Using Transient Turbulent Fluctuations”. ArXiv Preprint arXiv:2304.05983.

Ryali, Chaitanya, Gautam Reddy, and Angela Yu. 2018. “Demystifying Excessively Volatile Human Learning: A Bayesian Persistent Prior and a Neural Approximation”. Advances in Neural Information Processing Systems 31.

Reddy, Gautam, Antonio Celani, and Massimo Vergassola. 2016. “Infomax Strategies for an Optimal Balance Between Exploration and Exploitation”. Journal of Statistical Physics 163. Springer: 1454–1476.

Johnson, Milo, Gautam Reddy, and Michael Desai. 2023. “Epistasis and Evolution: Recent Advances and an Outlook for Prediction”. BMC Biology 21. Springer: 120.

Reddy, Gautam. 2022. “A Reinforcement-Based Mechanism for Discontinuous Learning”. Proceedings of the National Academy of Sciences 119. National Acad Sciences: e2215352119.

Reddy, Gautam, Laura Desban, Hidenori Tanaka, Julian Roussel, Olivier Mirat, and Claire Wyart. 2022. “A Lexical Approach for Identifying Behavioural Action Sequences”. PLoS Computational Biology 18. Public Library of Science San Francisco, CA USA: e1009672.

Petti, Samantha, Gautam Reddy, and Michael Desai. 2023. “Inferring Sparse Structure in genotype–phenotype Maps”. Genetics 225. Oxford University Press US: iyad127.

Rigolli, Nicola, Gautam Reddy, Agnese Seminara, and Massimo Vergassola. 2022. “Alternation Emerges As a Multi-Modal Strategy for Turbulent Odor Navigation”. Elife 11. eLife Sciences Publications, Ltd.

Carballo-Pacheco, Martín, Jonathan Desponds, Tatyana Gavrilchenko, Andreas Mayer, Roshan Prizak, Gautam Reddy, Ilya Nemenman, and Thierry Mora. 2019. “Receptor Crosstalk Improves Concentration Sensing of Multiple Ligands”. Physical Review E 99. APS: 022423.

Reddy, Gautam, Boris Shraiman, and Massimo Vergassola. 2022. “Sector Search Strategies for Odor Trail Tracking”. Proceedings of the National Academy of Sciences 119. National Acad Sciences: e2107431118.

Pfister, Patrick, Benjamin Smith, Barry Evans, Jessica Brann, Casey Trimmer, Mushhood Sheikh, Randy Arroyave, et al. 2020. “Odorant Receptor Inhibition Is Fundamental to Odor Encoding”. Current Biology 30. Elsevier: 2574–2587.

Reddy, Gautam, Joseph Zak, Massimo Vergassola, and Venkatesh Murthy. 2018. “Antagonism in Olfactory Receptor Neurons and Its Implications for the Perception of Odor Mixtures”. Elife 7. eLife Sciences Publications, Ltd: e34958.

Zak, Joseph, Gautam Reddy, Massimo Vergassola, and Venkatesh Murthy. 2020. “Antagonistic Odor Interactions in Olfactory Sensory Neurons Are Widespread in Freely Breathing Mice”. Nature Communications 11. Nature Publishing Group UK London: 3350.

Reddy, Gautam, and Michael Desai. 2021. “Global Epistasis Emerges from a Generic Model of a Complex Trait”. Elife 10. eLife Sciences Publications, Ltd: e64740.

Reddy, Gautam, Venkatesh Murthy, and Massimo Vergassola. 2022. “Olfactory Sensing and Navigation in Turbulent Environments”. Annual Review of Condensed Matter Physics 13. Annual Reviews: 191–213.

Reddy, Gautam, Jerome Wong-Ng, Antonio Celani, Terrence Sejnowski, and Massimo Vergassola. 2018. “Glider Soaring via Reinforcement Learning in the Field”. Nature 562. Nature Publishing Group UK London: 236–239.

Reddy, Gautam, Antonio Celani, Terrence Sejnowski, and Massimo Vergassola. 2016. “Learning to Soar in Turbulent Environments”. Proceedings of the National Academy of Sciences 113. National Acad Sciences: E4877–E4884.