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ORCIDPraveen Venkatesh
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2020 – today
- 2024
[j6]Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, Anantha Lakshmi Sathvik, Praveen Venkatesh, Yi-Hui Ho, Hanna Henshaw, Muna Al-Hawawreh, David Berdik, Yaser Jararweh:
Foundation and large language models: fundamentals, challenges, opportunities, and social impacts. Clust. Comput. 27(1): 1-26 (2024)- [j5]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: 509-519 (2024) - 2023
- [c17]Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg:
Capturing and Interpreting Unique Information. ISIT 2023: 2631-2636 - [c16]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 - [i13]Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg:
Capturing and Interpreting Unique Information. CoRR abs/2302.11873 (2023) - [i12]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 abs/2307.10515 (2023) - 2022
- [c15]Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover:
Extracting Unique Information Through Markov Relations. Allerton 2022: 1-6 - [c14]Harsh M. Patel, Praveen Venkatesh, Shivam Sahni, Varun Jain, Mrinal Anand, Mayank Singh:
Program Synthesis: Does Feedback Help? COMAD/CODS 2022: 310-311 - [c13]Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni, Mayank Singh:
Indian Classical Music Synthesis. COMAD/CODS 2022: 322-323 - [c12]Praveen Venkatesh, Rwik Rana, Varun Jain:
Memory Guided Road Segmentation. ICIAP (1) 2022: 764-772 - [c11]Praveen Venkatesh, Gabriel Schamberg:
Partial Information Decomposition via Deficiency for Multivariate Gaussians. ISIT 2022: 2892-2897 - [i11]Sanghamitra Dutta, Praveen Venkatesh, Pulkit Grover:
Quantifying Feature Contributions to Overall Disparity Using Information Theory. CoRR abs/2206.08454 (2022) - [i10]Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover:
Extracting Unique Information Through Markov Relations. CoRR abs/2210.14789 (2022) - 2021
- [j4]Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover:
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. IEEE Trans. Inf. Theory 67(10): 6675-6710 (2021) - [c10]Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS 2021: 3149-3162 - [i9]Gabriel Schamberg, Praveen Venkatesh:
Partial Information Decomposition via Deficiency for Multivariate Gaussians. CoRR abs/2105.00769 (2021) - [i8]Praveen Venkatesh, Rwik Rana, Varun Jain:
Memory Guided Road Detection. CoRR abs/2106.14184 (2021) - [i7]Praveen Venkatesh, Sanket Vadhvana, Varun Jain:
Analysis and Control of a Planar Quadrotor. CoRR abs/2106.15134 (2021) - [i6]Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? CoRR abs/2111.05299 (2021) - [i5]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 abs/2111.06056 (2021) - [i4]Praveen Venkatesh, Rwik Rana, Harish PM:
Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning. CoRR abs/2111.15343 (2021) - 2020
- [j3]Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
Information Flow in Computational Systems. IEEE Trans. Inf. Theory 66(9): 5456-5491 (2020) - [c9]Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover:
An Information-Theoretic Quantification of Discrimination with Exempt Features. AAAI 2020: 3825-3833 - [c8]Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
How else can we define Information Flow in Neural Circuits? ISIT 2020: 2879-2884 - [i3]Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover:
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. CoRR abs/2006.07986 (2020)
2010 – 2019
- 2019
- [j2]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): 1115-1126 (2019) - [c7]Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
How should we define Information Flow in Neural Circuits? ISIT 2019: 176-180 - [c6]Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS 2019: 10364-10375 - [i2]Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover:
Information Flow in Computational Systems. CoRR abs/1902.02292 (2019) - 2018
- [c5]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: 1-4 - [c4]Ashwati Krishnan, Ritesh Kumar, Praveen Venkatesh, Shawn K. Kelly, Pulkit Grover:
Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. EMBC 2018: 1287-1290 - [i1]Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Testing Changes in Communities for the Stochastic Block Model. CoRR abs/1812.00769 (2018) - 2017
- [j1]Pulkit Grover, Praveen Venkatesh:
An Information-Theoretic View of EEG Sensing. Proc. IEEE 105(2): 367-384 (2017) - [c3]Praveen Venkatesh, Pulkit Grover:
Lower bounds on the minimax risk for the source localization problem. ISIT 2017: 3080-3084 - 2015
- [c2]Praveen Venkatesh, Pulkit Grover:
Is the direction of greater Granger causal influence the same as the direction of information flow? Allerton 2015: 672-679 - [c1]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: 901-908
Coauthor Index
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