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ORCIDIlya Nemenman
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2020 – today
- 2023
[i14]Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby:
Intrinsic Motivation in Dynamical Control Systems. CoRR abs/2301.00005 (2023)- [i13]Mahajabin Rahman, Ilya Nemenman:
Inferring Local Structure from Pairwise Correlations. CoRR abs/2305.04386 (2023) - [i12]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 abs/2307.04201 (2023) - [i11]K. Michael Martini, Ilya Nemenman
:
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck. CoRR abs/2309.05649 (2023) - [i10]Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini:
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses. CoRR abs/2310.03311 (2023) - [i9]Wentao Yu, Eslam Abdelaleem, Ilya Nemenman, Justin C. Burton:
Learning force laws in many-body systems. CoRR abs/2310.05273 (2023) - 2022
- [j14]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) - [i8]Damián G. Hernández, Ahmed Roman, Ilya Nemenman:
Low probability states, data statistics, and entropy estimation. CoRR abs/2207.00962 (2022) - 2021
- [j13]Catalina Rivera, David Hofmann, Ilya Nemenman:
Inferring phenomenological models of first passage processes. PLoS Comput. Biol. 17(3) (2021) - 2020
- [j12]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)
2010 – 2019
- 2019
- [i7]Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. 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 H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - 2017
- [j11]Vijay Singh, Ilya Nemenman:
Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor. PLoS Comput. Biol. 13(4) (2017) - [j10]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) - 2016
- [j9]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) - 2013
- [i6]Vijay Singh, Martin Tchernookov, Rebecca Butterfield, Ilya Nemenman:
Continuum dynamics model of the primary visual cortex for contour detection. CoRR abs/1310.1341 (2013) - 2011
- [j8]Ilya Nemenman:
Coincidences and Estimation of Entropies of Random Variables with Large Cardinalities. Entropy 13(12): 2013-2023 (2011) - [j7]Pradeep Bandaru, Mukesh Bansal, Ilya Nemenman:
Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data. J. Comput. Biol. 18(2): 147-154 (2011) - [j6]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)
2000 – 2009
- 2009
- [j5]Nikolai Sinitsyn, Nicolas W. Hengartner, Ilya Nemenman:
Adiabatic coarse-graining and simulations of stochastic biochemical networks. Proc. Natl. Acad. Sci. USA 106(26): 10546-10551 (2009) - 2008
- [j4]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) - 2006
- [j3]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) - [c3]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: 348-362 - 2005
- [j2]Ilya Nemenman:
Fluctuation-Dissipation Theorem and Models of Learning. Neural Comput. 17(9): 2006-2033 (2005) - 2004
- [i5]Ilya Nemenman:
How is sensory information processed? CoRR q-bio.NC/0402029 (2004) - [i4]Ilya Nemenman:
Information theory, multivariate dependence, and genetic network inference. CoRR q-bio.QM/0406015 (2004) - 2001
- [j1]William Bialek, Ilya Nemenman, Naftali Tishby:
Predictability, Complexity, and Learning. Neural Comput. 13(11): 2409-2463 (2001) - [c2]Ilya Nemenman, F. Shafee, William Bialek:
Entropy and Inference, Revisited. NIPS 2001: 471-478 - 2000
- [c1]Ilya Nemenman, William Bialek:
Learning Continuous Distributions: Simulations With Field Theoretic Priors. NIPS 2000: 287-293 - [i3]Ilya Nemenman, William Bialek:
Occam factors and model-independent Bayesian learning of continuous distributions. CoRR cond-mat/0009165 (2000) - [i2]William Bialek, Ilya Nemenman, Naftali Tishby:
Predictability, complexity and learning. CoRR physics/0007070 (2000) - [i1]Ilya Nemenman:
Information theory and learning: a physical approach. CoRR physics/0009032 (2000)
Coauthor Index
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