Praveen Venkatesh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Computational Systems

Information Theory

Lateral Inhibition

Top Venues

Publications

Ariel K. Feldman, Praveen Venkatesh, Douglas J. Weber, Pulkit Grover
Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Capturing and Interpreting Unique Information. ISIT (2023)
Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. CoRR (2023)
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Capturing and Interpreting Unique Information. CoRR (2023)
Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data. NeurIPS (2023)
Praveen Venkatesh, Gabriel Schamberg
Partial Information Decomposition via Deficiency for Multivariate Gaussians. ISIT (2022)
Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
Extracting Unique Information Through Markov Relations. Allerton (2022)
Harsh Patel, Praveen Venkatesh, Shivam Sahni, Varun Jain, Mrinal Anand, Mayank Singh
Program Synthesis: Does Feedback Help? COMAD/CODS (2022)
Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
Extracting Unique Information Through Markov Relations. CoRR (2022)
Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni, Mayank Singh
Indian Classical Music Synthesis. COMAD/CODS (2022)
Sanghamitra Dutta, Praveen Venkatesh, Pulkit Grover
Quantifying Feature Contributions to Overall Disparity Using Information Theory. CoRR (2022)
Praveen Venkatesh, Rwik Rana, Varun Jain
Memory Guided Road Segmentation. ICIAP (1) (2022)
Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. IEEE Trans. Inf. Theory 67 (10) (2021)
Praveen Venkatesh, Rwik Rana, Varun Jain
Memory Guided Road Detection. CoRR (2021)
Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover
Can Information Flows Suggest Targets for Interventions in Neural Circuits? CoRR (2021)
Gabriel Schamberg, Praveen Venkatesh
Partial Information Decomposition via Deficiency for Multivariate Gaussians. CoRR (2021)
Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie
Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation. CoRR (2021)
Praveen Venkatesh, Sanket Vadhvana, Varun Jain
Analysis and Control of a Planar Quadrotor. CoRR (2021)
Praveen Venkatesh, Rwik Rana, Harish PM
Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning. CoRR (2021)
Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS (2021)
Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover
An Information-Theoretic Quantification of Discrimination with Exempt Features. AAAI (2020)
Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. CoRR (2020)
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
Information Flow in Computational Systems. IEEE Trans. Inf. Theory 66 (9) (2020)
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
How else can we define Information Flow in Neural Circuits? ISIT (2020)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS (2019)
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
Information Flow in Computational Systems. CoRR (2019)
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
How should we define Information Flow in Neural Circuits? ISIT (2019)
Alireza Chamanzar, Shilpa Anna George, Praveen Venkatesh, Maysamreza Chamanzar, Lori Shutter, Jonathan Elmer, Pulkit Grover
An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations. IEEE Trans. Biomed. Eng. 66 (4) (2019)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Testing Changes in Communities for the Stochastic Block Model. CoRR (2018)
Ashwati Krishnan, Ritesh Kumar, Praveen Venkatesh, Shawn K. Kelly, Pulkit Grover
Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. EMBC (2018)
Zabir Ahmed, Jay W. Reddy, Kaustubh Deshpande, Ashwati Krishnan, Praveen Venkatesh, Shawn K. Kelly, Pulkit Grover, Maysamreza Chamanzar
Flexible Ultra-resolution Subdermal EEG Probes. BioCAS (2018)
Praveen Venkatesh, Pulkit Grover
Lower bounds on the minimax risk for the source localization problem. ISIT (2017)
Pulkit Grover, Praveen Venkatesh
An Information-Theoretic View of EEG Sensing. Proc. IEEE 105 (2) (2017)
Praveen Venkatesh, Pulkit Grover
Is the direction of greater Granger causal influence the same as the direction of information flow? Allerton (2015)
Pulkit Grover, Jeffrey A. Weldon, Shawn K. Kelly, Praveen Venkatesh, Haewon Jeong
An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG. Allerton (2015)