Ilya Nemenman

Ilya Nemenman: Coincidences and Estimation of Entropies of Random Variables with Large Cardinalities. Entropy 13(12): 2013-2023 (2011)

Pradeep Bandaru, Mukesh Bansal, Ilya Nemenman: Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data. Journal of Computational Biology 18(2): 147-154 (2011)

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 Computational Biology 7(10) (2011)

Ilya Nemenman, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck: Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS Computational Biology 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 Bioinformatics 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: 348-362

Ilya Nemenman: Fluctuation-Dissipation Theorem and Models of Learning. Neural Computation 17(9): 2006-2033 (2005)

Ilya Nemenman: How is sensory information processed? CoRR q-bio.NC/0402029 (2004)

Ilya Nemenman: Information theory, multivariate dependence, and genetic network inference. CoRR q-bio.QM/0406015 (2004)

William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, Complexity, and Learning. Neural Computation 13(11): 2409-2463 (2001)

Ilya Nemenman, F. Shafee, William Bialek: Entropy and Inference, Revisited. NIPS 2001: 471-478

Ilya Nemenman, William Bialek: Learning Continuous Distributions: Simulations With Field Theoretic Priors. NIPS 2000: 287-293

Ilya Nemenman, William Bialek: Occam factors and model-independent Bayesian learning of continuous distributions. CoRR cond-mat/0009165 (2000)

William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, complexity and learning. CoRR physics/0007070 (2000)

Ilya Nemenman: Information theory and learning: a physical approach. CoRR physics/0009032 (2000)