Publications
Journal papers
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JSAIT 2024 June |
Ariel K Feldman,
Praveen Venkatesh,
Douglas J Weber and
Pulkit Grover "Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience" IEEE Journal on Selected Areas in Information Theory |
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Trans IT 2021 August |
Sanghamitra Dutta,
Praveen Venkatesh,
Piotr Mardziel,
Anupam Datta and
Pulkit Grover "Fairness Under Feature Exemptions: Counterfactual and Observational Measures" IEEE Transactions on Information Theory |
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JNE 2021 March |
Praveen Venkatesh,
Daniel Sneider*,
Mohammed Danish*,
Nathaniel D Sisterson,
Naoir Zaher,
Alexandra Urban,
Pulkit Grover,
R Mark Richardson and
Vasileios Kokkinos "Quantifying a Frequency Modulation Response Biomarker in Responsive Neurostimulation" Journal of Neural Engineering *Equal contribution |
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Trans IT 2020 April |
Praveen Venkatesh,
Sanghamitra Dutta and
Pulkit Grover "Information Flow in Computational Systems" IEEE Transactions on Information Theory |
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Trans BME 2018 August |
Alireza Chamanzar,
Shilpa George,
Praveen Venkatesh,
Maysamreza Chamanzar,
Lori Shutter,
Jonathan Elmer and
Pulkit Grover "An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations" IEEE Transactions on Biomedical Engineering |
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Sci Rep 2017 November |
Amanda Robinson,
Praveen Venkatesh,
Matthew Boring,
Michael Tarr,
Pulkit Grover and
Marlene Behrmann "Very High Density EEG Elucidates Spatiotemporal Aspects of Early Visual Processing" Scientific Reports |
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Proc IEEE 2016 December |
Pulkit Grover and
Praveen Venkatesh "An Information-theoretic View of EEG Sensing" Proceedings of the IEEE |
Top-tier AI/ML Conference papers
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NeurIPS 2023 December |
Praveen Venkatesh,
Corbett Bennett,
Sam Gale,
Tamina K Ramirez,
Greggory Heller,
Severine Durand,
Shawn Olsen and
Stefan Mihalas "Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data" Neural Information Processing Systems (NeurIPS) Spotlight |
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NeurIPS 2021 December |
Praveen Venkatesh,
Sanghamitra Dutta*,
Neil Mehta* and
Pulkit Grover "Can Information Flows Suggest Targets for Interventions in Neural Circuits?" Neural Information Processing Systems (NeurIPS) *Equal contribution |
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AAAI 2020 February |
Sanghamitra Dutta,
Praveen Venkatesh,
Piotr Mardziel,
Anupam Datta and
Pulkit Grover "An Information-Theoretic Quantification of Discrimination with Exempt Features" AAAI Conference on Artificial Intelligence (AAAI): Oral presentation |
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NeurIPS 2019 December |
Aditya Gangrade,
Praveen Venkatesh,
Bobak Nazer and
Venkatesh Saligrama "Efficient Near-Optimal Testing of Community Changes in Stochastic Block Models" Neural Information Processing Systems (NeurIPS) |
Conference papers
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ISIT 2023 June |
Praveen Venkatesh,
Keerthana Gurushankar and
Gabriel Schamberg "Capturing and Interpreting Unique Information" International Symposium on Information Theory (ISIT) |
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Allerton 2022 September |
Keerthana Gurushankar,
Praveen Venkatesh and
Pulkit Grover "Extracting Unique Information Through Markov Relations" Allerton Conference on Communication, Control, and Computing |
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ISIT 2022 June |
Praveen Venkatesh* and
Gabriel Schamberg* "Partial Information Decomposition via Deficiency for Multivariate Gaussians" International Symposium on Information Theory (ISIT) *Equal contribution |
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ISIT 2020 June |
Praveen Venkatesh,
Sanghamitra Dutta and
Pulkit Grover "How else can we define Information Flow in Neural Circuits?" International Symposium on Information Theory (ISIT) |
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ISIT 2019 July |
Praveen Venkatesh,
Sanghamitra Dutta and
Pulkit Grover "How should we define Information Flow in Neural Circuits?" International Symposium on Information Theory (ISIT) |
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BioCAS 2018 October |
Zabir Ahmed,
Jay Reddy,
Kaustubh Deshpande,
Ashwati Krishnan,
Praveen Venkatesh,
Shawn Kelly,
Pulkit Grover and
Maysamreza Chamanzar "Flexible Ultra-resolution Subdermal EEG Probes" Biomedical Circuits and Systems Conference (BioCAS) |
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EMBC 2018 July |
Ashwati Krishnan,
Ritesh Kumar,
Praveen Venkatesh,
Shawn Kelly and
Pulkit Grover "Low-cost Carbon Fiber-based Conductive Silicone Sponge EEG Electrodes" Engineering in Medicine and Biology Conference (EMBC): Oral presentation |
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ISIT 2017 June |
Praveen Venkatesh and
Pulkit Grover "Lower Bounds on the Minimax Risk for the Source Localization Problem" International Symposium on Information Theory (ISIT) |
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Allerton 2015 September |
Praveen Venkatesh and
Pulkit Grover "Is the Direction of Greater Granger Causal Influence the Same as the Direction of Information Flow?" Allerton Conference on Communication, Control and Computing |
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Allerton 2015 September |
Pulkit Grover,
Jeffrey A Weldon,
Shawn K Kelly,
Praveen Venkatesh and
Haewon Jeong "An Information-theoretic Technique for Harnessing Attenuation of High Spatial Frequencies to Design Ultra-High-Density EEG" Allerton Conference on Communication, Control and Computing |
Top-tier Conferences & Workshops with Extended Abstracts
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NeuroAI 2024 December |
Praveen Venkatesh,
Jiaqi Shang,
Corbett C Bennett,
Sam Gale,
Greggory Robert Heller,
Tamina Keira Ramirez,
Severine Durand,
Eric Shea-Brown,
Shawn R Olsen and
Stefan Mihalas "The Role of Cortical Variability in Supporting Few-shot Generalization: Theory and Empirical Evidence" NeurIPS 2024 Workshop on NeuroAI (accepted) |
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Cosyne 2024 March |
Praveen Venkatesh,
Corbett C Bennett,
Sam Gale,
Juri Minxha,
Hristos Courellis,
Greggory Robert Heller,
Tamina Keira Ramirez,
Severine Durand,
Ueli Rutishauser,
Shawn R Olsen and
Stefan Mihalas "The variability of representations in mice and humans changes with learning, engagement, and attention" Computational and Systems Neuroscience (Cosyne) |
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NeurReps 2023 December |
Praveen Venkatesh,
Corbett C Bennett,
Sam Gale,
Juri Minxha,
Hristos Courellis,
Greggory Robert Heller,
Tamina Keira Ramirez,
Severine Durand,
Ueli Rutishauser,
Shawn R Olsen and
Stefan Mihalas "The Variability of Representations in Mice and Humans Changes with Learning, Engagement, and Attention" NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations (NeurReps) |
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InfoCog 2023 December |
Miles Mahon and
Praveen Venkatesh "Information Flows Reveal Computational Mechanisms of RNNs in Contextual Decision-making" NeurIPS 2023 Workshop on Information-Theoretic Principles in Cognitive Systems (InfoCog) |
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Cosyne 2022 March |
Praveen Venkatesh,
Gabriel Schamberg,
Adrienne Fairhall,
Shawn Olsen,
Stefan Mihalas and
Christof Koch "Gaussian Partial Information Decomposition: Quantifying Inter-areal Interactions in High-Dimensional Neural Data" Computational and Systems Neuroscience (Cosyne) |
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ITCI 2022 February |
Sanghamitra Dutta,
Praveen Venkatesh and
Pulkit Grover "Quantifying Feature Contributions to Overall Disparity Using Information Theory" AAAI 2022 Workshop on Information-Theoretic Methods for Causal Inference and Discovery (ITCI) |
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Cosyne 2020 February |
Praveen Venkatesh and
Pulkit Grover "Understanding Encoding and Redundancy in Grid Cells Using Partial Information Decomposition" Computational and Systems Neuroscience (Cosyne) |
Workshops and Conference abstracts
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AES 2020 December |
Praveen Venkatesh,
Mohammed Danish*,
Daniel Sneider*,
Nathaniel D Sisterson,
Pulkit Grover,
R Mark Richardson and
Vasileios Kokkinos "Quantifying Frequency Modulation in Seizures of Patients Undergoing Responsive Neurostimulation" American Epilepsy Society annual meeting *Equal contribution |
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ITA 2020 February |
Praveen Venkatesh,
Sanghamitra Dutta and
Pulkit Grover "Information Flow in Neural Circuits: Formal Definition and Required Neuroengineering" Information Theory and Applications Workshop (ITA): Graduation Day Talk Winner of the ITA Sun Award: the gold prize for graduation day talks |
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AES 2019 December |
Praveen Venkatesh,
Vasileios Kokkinos,
R Mark Richardson and
Pulkit Grover "An automated and configurable seizure segmentation tool for tracking the evolution of seizures" American Epilepsy Society Annual Meeting (AES) |
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SfN 2019 October |
Praveen Venkatesh and
Pulkit Grover "Relating Information Flow and Causal Interventions in Neural Circuits" SfN Neuroscience |
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CNS ITW 2019 July |
Praveen Venkatesh and
Pulkit Grover "Revealing Information Paths in the Brain using Synergistic Information" CNS*2019 Workshop on Methods of Information Theory in Computational Neuroscience |
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CNS 2019 July |
Praveen Venkatesh and
Pulkit Grover "An Information-theoretic Framework for Examining Information Flow in the Brain" 28th Annual Computational Neuroscience Meeting (CNS*2019) |
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SAND 2019 May |
Praveen Venkatesh and
Pulkit Grover "A Systematic way to Define Information Flow" Ninth International Workshop on the Statistical Analysis of Neuronal Data (SAND) |
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OSA 2018 September |
Sarah M Haigh,
Alireza Chamanzar,
Praveen Venkatesh,
Pulkit Grover and
Marlene Behrmann "Cortical Hyper-Excitability in Migraine to Chromatic Patterns" Optical Society of America Fall Vision Meeting |
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SfN 2018 November |
Kaustubh Deshpande,
Zabir Ahmed,
Jay Reddy,
Ashwati Krishnan,
Praveen Venkatesh,
Shawn Kelly,
Pulkit Grover and
Maysamreza Chamanzar "Flexible, Ultra-resolution, Subdermal EEG Probes" SfN Neuroscience: Nanosymposium |
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MHSRS 2018 August |
Alireza Chamanzar,
Shilpa George,
Praveen Venkatesh,
Maysam Chamanzar,
Jonathan Elmer,
Lori Shutter and
Pulkit Grover "Automated Algorithm and System for Noninvasive Detection of Worsening Brain Injuries" Military Health System Research Symposium |
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ICCN 2018 May |
Ritesh Kumar,
Praveen Venkatesh,
Rui Sun,
Gayathri Mohankumar,
Arun Antony,
R Mark Richardson and
Pulkit Grover "Ultra-high-density scalp EEG outperforms localized invasive ECoG grids in inferring depth of seizure foci" 31st International Congress of Clinical Neurophysiology |
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AES 2017 December |
Rui Sun,
Pulkit Grover,
Rudina Morina,
Marie Bremner,
Praveen Venkatesh,
Anto Bagic,
R Mark Richardson,
Jullie Pan,
Alexandra Urban,
Naoir Zaher and
Arun Antony "Analysis of cortical stimulation data to localize intracranial electrodes using simultaneous scalp and stereo EEG recordings" American Epilepsy Society annual meeting |
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SfN 2017 November |
Praveen Venkatesh,
Ashwati Krishnan,
Jeffrey Weldon,
Shawn Kelly and
Pulkit Grover "Ultra-resolution Subdermal EEG: Long-term Minimally-invasive Brain Monitoring" SfN Neuroscience |
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ISIT 2017 June |
Praveen Venkatesh and
Pulkit Grover "High Density EEG: Information-theoretic Limits and Algorithms" International Symposium on Information Theory (ISIT), Recent Results |
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SAND 2017 May |
Praveen Venkatesh,
Pulkit Grover,
Amanda Robinson,
Marlene Behrmann,
Ashwati Krishnan,
Jeff Weldon,
Shawn Kelly and
Michael Tarr "Can EEG be Hi-Res? Finding out with Theory, Experiments, Algorithms and Instrumentation" Eighth International Workshop on the Statistical Analysis of Neuronal Data (SAND) |
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IBIA 2017 March |
Alireza Chamanzar,
Shilpa George,
Praveen Venkatesh,
Wanqiao Ding and
Pulkit Grover "Systematic and Automated Algorithms for Detecting Cortical Spreading Depolarizations Using EEG and ECoG to Improve TBI Diagnosis and Treatment" 12th World Congress on Brain Injury |
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AES 2016 December |
Praveen Venkatesh,
Wanqiao Ding and
Pulkit Grover "Data Processing for Reliable Detection of Cortical Spreading Depolarizations Using High-density EEG" American Epilepsy Society annual meeting |
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SfN 2015 October |
Praveen Venkatesh and
Pulkit Grover "Is the Direction of Greater Granger Causal Influence the Same as the Direction of Information Flow?" SfN Neuroscience |
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SAND 2015 May |
Praveen Venkatesh and
Pulkit Grover "Is the Direction of Granger Causal Influence the Same as the Direction of Information Flow?" Seventh International Workshop on the Statistical Analysis of Neuronal Data (SAND) |