Venkatesh, Praveen

7 publications

NeurIPSW 2024 The Role of Cortical Varibility in Supporting Few-Shot Generalization: Theory and Empirical Evidence Praveen Venkatesh, Jiaqi Shang, Corbett C Bennett, Sam Gale, Greggory Robert Heller, Tamina Keira Ramirez, Severine Durand, Eric Todd SheaBrown, Shawn R Olsen, Stefan Mihalas

NeurIPS 2023 Gaussian Partial Information Decomposition: Bias Correction and Application to High-Dimensional Data Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina Ramirez, Greggory Heller, Severine Durand, Shawn Olsen, Stefan Mihalas

NeurIPSW 2023 Information Flows Reveal Computational Mechanisms of RNNs in Contextual Decision-Making Miles Mahon, Praveen Venkatesh

NeurIPSW 2023 The Variability of Representations in Mice and Humans Changes with Learning, Engagement, and Attention Praveen Venkatesh, Corbett C Bennett, Sam Gale, Juri Minxha, Hristos Courellis, Greggory Robert Heller, Tamina Keira Ramirez, Severine Durand, Ueli Rutishauser, Shawn R Olsen, Stefan Mihalas

NeurIPS 2021 Can Information Flows Suggest Targets for Interventions in Neural Circuits? Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover

AAAI 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover

NeurIPS 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama