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David J Schwab

Showing results (1-10 of 45) with videos related to

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Advances in Neural Information Processing Systems|June 19, 2023
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimalityVudtiwat Ngampruetikorn, David J Schwab
Physical Review Letters|January 3, 2025
Extreme Synergy in the Random-Energy ModelVudtiwat Ngampruetikorn, David J Schwab
Advances in Neural Information Processing Systems|January 4, 2023
Perturbation Theory for the Information BottleneckVudtiwat Ngampruetikorn, David J Schwab
Proceedings of the National Academy of Sciences of the United States of America|October 10, 2012
Energetic costs of cellular computationPankaj Mehta, David J Schwab
Neural Computation|October 14, 2018
The Information Bottleneck and Geometric ClusteringD J Strouse, David J Schwab
Plos Computational Biology|August 15, 2014
Quantifying the role of population subdivision in evolution on rugged fitness landscapesAnne-Florence Bitbol, David J Schwab
Frontiers in Systems Neuroscience|December 24, 2015
Presynaptic Inhibition in the Striatum of the Basal Ganglia Improves Pattern Classification and Thus Promotes Superior Goal SelectionDavid J Schwab, James C Houk
Neural Computation|April 15, 2017
The Deterministic Information BottleneckD J Strouse, David J Schwab
Physical Review. X|December 22, 2022
Theory of Gating in Recurrent Neural NetworksKamesh Krishnamurthy, Tankut Can, David J Schwab
Arxiv|September 26, 2025
Data coarse graining can improve model performanceAlex Nguyen, David J Schwab, Vudtiwat Ngampruetikorn
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Advances in Neural Information Processing Systems|June 19, 2023
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimalityVudtiwat Ngampruetikorn, David J Schwab
Physical Review Letters|January 3, 2025
Extreme Synergy in the Random-Energy ModelVudtiwat Ngampruetikorn, David J Schwab
Advances in Neural Information Processing Systems|January 4, 2023
Perturbation Theory for the Information BottleneckVudtiwat Ngampruetikorn, David J Schwab
Proceedings of the National Academy of Sciences of the United States of America|October 10, 2012
Energetic costs of cellular computationPankaj Mehta, David J Schwab
Neural Computation|October 14, 2018
The Information Bottleneck and Geometric ClusteringD J Strouse, David J Schwab
Plos Computational Biology|August 15, 2014
Quantifying the role of population subdivision in evolution on rugged fitness landscapesAnne-Florence Bitbol, David J Schwab
Frontiers in Systems Neuroscience|December 24, 2015
Presynaptic Inhibition in the Striatum of the Basal Ganglia Improves Pattern Classification and Thus Promotes Superior Goal SelectionDavid J Schwab, James C Houk
Neural Computation|April 15, 2017
The Deterministic Information BottleneckD J Strouse, David J Schwab
Physical Review. X|December 22, 2022
Theory of Gating in Recurrent Neural NetworksKamesh Krishnamurthy, Tankut Can, David J Schwab
Arxiv|September 26, 2025
Data coarse graining can improve model performanceAlex Nguyen, David J Schwab, Vudtiwat Ngampruetikorn
Pageof 5