Ilya Nemenman

Orcid: 0000-0003-3024-4244

According to our database1, Ilya Nemenman authored at least 30 papers between 2000 and 2023.

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Bibliography

2023
Learning force laws in many-body systems.
CoRR, 2023

Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses.
CoRR, 2023

Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck.
CoRR, 2023

Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors.
CoRR, 2023

Inferring Local Structure from Pairwise Correlations.
CoRR, 2023

Intrinsic Motivation in Dynamical Control Systems.
CoRR, 2023

2022
Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices.
PLoS Comput. Biol., 2022

Low probability states, data statistics, and entropy estimation.
CoRR, 2022

2021
Inferring phenomenological models of first passage processes.
PLoS Comput. Biol., 2021

2020
Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons.
PLoS Comput. Biol., 2020

2019
Thermodynamic Computing.
CoRR, 2019

2017
Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor.
PLoS Comput. Biol., 2017

Growth of bacteria in 3-d colonies.
PLoS Comput. Biol., 2017

2016
Stereotypical Escape Behavior in Caenorhabditis elegans Allows Quantification of Effective Heat Stimulus Level.
PLoS Comput. Biol., 2016

2013
Continuum dynamics model of the primary visual cortex for contour detection.
CoRR, 2013

2011
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception.
PLoS Comput. Biol., 2011

Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data.
J. Comput. Biol., 2011

Coincidences and Estimation of Entropies of Random Variables with Large Cardinalities.
Entropy, 2011

2009
Adiabatic coarse-graining and simulations of stochastic biochemical networks.
Proc. Natl. Acad. Sci. USA, 2009

2008
Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution.
PLoS Comput. Biol., 2008

2006
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context.
BMC Bioinform., 2006

Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes.
Proceedings of the Research in Computational Molecular Biology, 2006

2005
Fluctuation-Dissipation Theorem and Models of Learning.
Neural Comput., 2005

2004
Information theory, multivariate dependence, and genetic network inference
CoRR, 2004

How is sensory information processed?
CoRR, 2004

2001
Predictability, Complexity, and Learning.
Neural Comput., 2001

Entropy and Inference, Revisited.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Information theory and learning: a physical approach
CoRR, 2000

Occam factors and model-independent Bayesian learning of continuous distributions
CoRR, 2000

Learning Continuous Distributions: Simulations With Field Theoretic Priors.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000


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