Praveen Venkatesh

According to our database, Praveen Venkatesh authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience.

Ariel K. Feldman, Praveen Venkatesh, Douglas J. Weber, Pulkit Grover

IEEE J. Sel. Areas Inf. Theory, 2024

Foundation and large language models: fundamentals, challenges, opportunities, and social impacts.

Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, Anantha Lakshmi Sathvik, Praveen Venkatesh, Yi-Hui Ho, Hanna Henshaw, Muna Al-Hawawreh, David Berdik, Yaser Jararweh

Clust. Comput., 2024

2023

Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data.

Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Capturing and Interpreting Unique Information.

Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Quantifying Feature Contributions to Overall Disparity Using Information Theory.

Sanghamitra Dutta, Praveen Venkatesh, Pulkit Grover

CoRR, 2022

Partial Information Decomposition via Deficiency for Multivariate Gaussians.

Praveen Venkatesh, Gabriel Schamberg

Proceedings of the IEEE International Symposium on Information Theory, 2022

Memory Guided Road Segmentation.

Praveen Venkatesh, Rwik Rana, Varun Jain

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Indian Classical Music Synthesis.

Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni, Mayank Singh

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Program Synthesis: Does Feedback Help?

Harsh M. Patel, Praveen Venkatesh, Shivam Sahni, Varun Jain, Mrinal Anand, Mayank Singh

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Extracting Unique Information Through Markov Relations.

Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Fairness Under Feature Exemptions: Counterfactual and Observational Measures.

Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover

IEEE Trans. Inf. Theory, 2021

Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning.

Praveen Venkatesh, Rwik Rana, Harish PM

CoRR, 2021

Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation.

Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie

CoRR, 2021

Analysis and Control of a Planar Quadrotor.

Praveen Venkatesh, Sanket Vadhvana, Varun Jain

CoRR, 2021

Memory Guided Road Detection.

Praveen Venkatesh, Rwik Rana, Varun Jain

CoRR, 2021

Can Information Flows Suggest Targets for Interventions in Neural Circuits?

Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Information Flow in Computational Systems.

Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover

IEEE Trans. Inf. Theory, 2020

How else can we define Information Flow in Neural Circuits?

Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover

Proceedings of the IEEE International Symposium on Information Theory, 2020

An Information-Theoretic Quantification of Discrimination with Exempt Features.

Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations.

Alireza Chamanzar, Shilpa Anna George, Praveen Venkatesh, Maysamreza Chamanzar, Lori Shutter, Jonathan Elmer, Pulkit Grover

IEEE Trans. Biomed. Eng., 2019

Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models.

Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

How should we define Information Flow in Neural Circuits?

Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Testing Changes in Communities for the Stochastic Block Model.

Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama

CoRR, 2018

Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes.

Ashwati Krishnan, Ritesh Kumar, Praveen Venkatesh, Shawn K. Kelly, Pulkit Grover

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Flexible Ultra-resolution Subdermal EEG Probes.

Zabir Ahmed, Jay W. Reddy, Kaustubh Deshpande, Ashwati Krishnan, Praveen Venkatesh, Shawn K. Kelly, Pulkit Grover, Maysamreza Chamanzar

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

An Information-Theoretic View of EEG Sensing.

Pulkit Grover, Praveen Venkatesh

Proc. IEEE, 2017

Lower bounds on the minimax risk for the source localization problem.

Praveen Venkatesh, Pulkit Grover

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2015

Is the direction of greater Granger causal influence the same as the direction of information flow?

Praveen Venkatesh, Pulkit Grover

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG.

Pulkit Grover, Jeffrey A. Weldon, Shawn K. Kelly, Praveen Venkatesh, Haewon Jeong

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015