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Praveen Venkatesh
Praveen Venkatesh
Shanahan Foundation Fellow, Allen Institute and the University of Washington, Seattle
Adresă de e-mail confirmată pe alleninstitute.org - Pagina de pornire
Titlu
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Very high density EEG elucidates spatiotemporal aspects of early visual processing
AK Robinson, P Venkatesh, MJ Boring, MJ Tarr, P Grover, M Behrmann
Scientific reports 7 (1), 16248, 2017
842017
An information-theoretic view of EEG sensing
P Grover, P Venkatesh
Proceedings of the IEEE 105 (2), 367-384, 2016
472016
An information-theoretic quantification of discrimination with exempt features
S Dutta, P Venkatesh, P Mardziel, A Datta, P Grover
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3825-3833, 2020
402020
An algorithm for automated, noninvasive detection of cortical spreading depolarizations based on EEG simulations
A Chamanzar, S George, P Venkatesh, M Chamanzar, L Shutter, J Elmer, ...
IEEE Transactions on Biomedical Engineering 66 (4), 1115-1126, 2018
302018
Information flow in computational systems
P Venkatesh, S Dutta, P Grover
IEEE Transactions on Information Theory, 2020
272020
Partial Information Decomposition via Deficiency for Multivariate Gaussians
P Venkatesh, G Schamberg
2022 IEEE International Symposium on Information Theory (ISIT), 2892-2897, 2022
212022
Fairness Under Feature Exemptions: Counterfactual and Observational Measures
S Dutta, P Venkatesh, P Mardziel, A Datta, P Grover
IEEE Transactions on Information Theory, 2021
212021
Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes
A Krishnan, R Kumar, P Venkatesh, S Kelly, P Grover
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
132018
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
A Gangrade, P Venkatesh, B Nazer, V Saligrama
Advances in Neural Information Processing Systems, 10364-10375, 2019
12*2019
An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG
P Grover, JA Weldon, SK Kelly, P Venkatesh, H Jeong
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
12*2015
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
P Venkatesh, C Bennett, S Gale, TK Ramirez, G Heller, S Durand, S Olsen, ...
Neural Information Processing Systems 36, 2023
112023
How should we define Information Flow in Neural Circuits?
P Venkatesh, S Dutta, P Grover
2019 IEEE International Symposium on Information Theory (ISIT), 176-180, 2019
112019
Is the direction of greater Granger causal influence the same as the direction of information flow?
P Venkatesh, P Grover
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
112015
Quantifying a frequency modulation response biomarker in responsive neurostimulation
P Venkatesh, D Sneider, M Danish, ND Sisterson, N Zaher, A Urban, ...
Journal of Neural Engineering 18 (4), 046017, 2021
102021
How else can we define Information Flow in Neural Circuits?
P Venkatesh, S Dutta, P Grover
2020 IEEE International Symposium on Information Theory (ISIT), 2879-2884, 2020
92020
Flexible Ultra-resolution Subdermal EEG Probes
Z Ahmed, J Reddy, K Deshpande, A Krishnan, P Venkatesh, S Kelly, ...
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
92018
Lower bounds on the minimax risk for the source localization problem
P Venkatesh, P Grover
2017 IEEE International Symposium on Information Theory (ISIT), 3080-3084, 2017
92017
Extracting Unique Information Through Markov Relations
K Gurushankar, P Venkatesh, P Grover
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
82022
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
P Venkatesh, S Dutta, N Mehta, P Grover
Advances in Neural Information Processing Systems 34, 3149-3162, 2021
82021
Capturing and interpreting unique information
P Venkatesh, K Gurushankar, G Schamberg
2023 IEEE International Symposium on Information Theory (ISIT), 2631-2636, 2023
62023
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