Ilya Nemenman

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 14

Top Topics

Caenorhabditis Elegans

Top Venues

PLoS Comput. Biol.

Publications

Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby
Intrinsic Motivation in Dynamical Control Systems. CoRR (2023)
Mahajabin Rahman, Ilya Nemenman
Inferring Local Structure from Pairwise Correlations. CoRR (2023)
Wentao Yu, Eslam Abdelaleem, Ilya Nemenman, Justin C. Burton
Learning force laws in many-body systems. CoRR (2023)
Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses. CoRR (2023)
K. Michael Martini, Ilya Nemenman
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck. CoRR (2023)
Francesco Camaglia, Ilya Nemenman, Thierry Mora, Aleksandra M. Walczak
Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors. CoRR (2023)
Arish Alreja, Ilya Nemenman, Christopher J. Rozell
Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices. PLoS Comput. Biol. 18 (1) (2022)
Damián G. Hernández, Ahmed Roman, Ilya Nemenman
Low probability states, data statistics, and entropy estimation. CoRR (2022)
Catalina Rivera, David Hofmann, Ilya Nemenman
Inferring phenomenological models of first passage processes. PLoS Comput. Biol. 17 (3) (2021)
Audrey J. Sederberg, Ilya Nemenman
Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons. PLoS Comput. Biol. 16 (5) (2020)
Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, J. Joshua Yang, Yan Yufik
Thermodynamic Computing. CoRR (2019)
Xinxian Shao, Andrew Mugler, Justin Kim, Ha Jun Jeong, Bruce R. Levin, Ilya Nemenman
Growth of bacteria in 3-d colonies. PLoS Comput. Biol. 13 (7) (2017)
Vijay Singh, Ilya Nemenman
Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor. PLoS Comput. Biol. 13 (4) (2017)
Kawai Leung, Aylia Mohammadi, William S. Ryu, Ilya Nemenman
Stereotypical Escape Behavior in Caenorhabditis elegans Allows Quantification of Effective Heat Stimulus Level. PLoS Comput. Biol. 12 (12) (2016)
Vijay Singh, Martin Tchernookov, Rebecca Butterfield, Ilya Nemenman
Continuum dynamics model of the primary visual cortex for contour detection. CoRR (2013)
Vadas Gintautas, Michael I. Ham, Benjamin Kunsberg, Shawn Barr, Steven P. Brumby, Craig Rasmussen, John S. George, Ilya Nemenman, Luís M. A. Bettencourt, Garrett T. Kenyon
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. PLoS Comput. Biol. 7 (10) (2011)
Pradeep Bandaru, Mukesh Bansal, Ilya Nemenman
Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data. J. Comput. Biol. 18 (2) (2011)
Ilya Nemenman
Coincidences and Estimation of Entropies of Random Variables with Large Cardinalities. Entropy 13 (12) (2011)
Nikolai Sinitsyn, Nicolas W. Hengartner, Ilya Nemenman
Adiabatic coarse-graining and simulations of stochastic biochemical networks. Proc. Natl. Acad. Sci. USA 106 (26) (2009)
Ilya Nemenman, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck
Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS Comput. Biol. 4 (3) (2008)
Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context. BMC Bioinform. 7 (S-1) (2006)
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam A. Margolin, Andrea Califano
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes. RECOMB (2006)
Ilya Nemenman
Fluctuation-Dissipation Theorem and Models of Learning. Neural Comput. 17 (9) (2005)
Ilya Nemenman
Information theory, multivariate dependence, and genetic network inference CoRR (2004)
Ilya Nemenman
How is sensory information processed? CoRR (2004)
William Bialek, Ilya Nemenman, Naftali Tishby
Predictability, Complexity, and Learning. Neural Comput. 13 (11) (2001)
Ilya Nemenman, F. Shafee, William Bialek
Entropy and Inference, Revisited. NIPS (2001)
Ilya Nemenman, William Bialek
Learning Continuous Distributions: Simulations With Field Theoretic Priors. NIPS (2000)
Ilya Nemenman, William Bialek
Occam factors and model-independent Bayesian learning of continuous distributions CoRR (2000)
Ilya Nemenman
Information theory and learning: a physical approach CoRR (2000)
William Bialek, Ilya Nemenman, Naftali Tishby
Predictability, complexity and learning CoRR (2000)