Ilya Nemenman - RankMe

38 papers B 1Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mutual information and task-relevant latent dimensionality. CoRR Paarth Gulati, Eslam Abdelaleem, Audrey J. Sederberg, Ilya Nemenman
2025	J	`jnl`	Accurate Estimation of Mutual Information in High Dimensional Data. CoRR Eslam Abdelaleem, K. Michael Martini, Ilya Nemenman
2025	J	`jnl`	Better Together: Cross and Joint Covariances Enhance Signal Detectability in Undersampled Data. CoRR Arabind Swain, Sean Alexander Ridout, Ilya Nemenman
2025	J	`jnl`	Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses. J. Mach. Learn. Res. Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini
2025	J	`jnl`	Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics. PLoS Comput. Biol. Satya Spandana Boddu, K. Michael Martini, Ilya Nemenman, Nic M. Vega
2024	J	`jnl`	Data Efficiency, Dimensionality Reduction, and the Generalized Symmetric Information Bottleneck. Neural Comput. K. Michael Martini, Ilya Nemenman
2024	J	`jnl`	Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning. Trans. Mach. Learn. Res. Eslam Abdelaleem, Ahmed Roman, K. Michael Martini, Ilya Nemenman
2023	J	`jnl`	Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors. CoRR Francesco Camaglia, Ilya Nemenman, Thierry Mora, Aleksandra M. Walczak
2023	J	`jnl`	Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck. CoRR K. Michael Martini, Ilya Nemenman
2023	J	`jnl`	Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses. CoRR Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini
2023	J	`jnl`	Inferring Local Structure from Pairwise Correlations. CoRR Mahajabin Rahman, Ilya Nemenman
2023	J	`jnl`	Intrinsic Motivation in Dynamical Control Systems. CoRR Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby
2023	J	`jnl`	Learning force laws in many-body systems. CoRR Wentao Yu, Eslam Abdelaleem, Ilya Nemenman, Justin C. Burton
2022	J	`jnl`	Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices. PLoS Comput. Biol. Arish Alreja, Ilya Nemenman, Christopher J. Rozell
2022	J	`jnl`	Low probability states, data statistics, and entropy estimation. CoRR Damián G. Hernández, Ahmed Roman, Ilya Nemenman
2021	J	`jnl`	Inferring phenomenological models of first passage processes. PLoS Comput. Biol. Catalina Rivera, David Hofmann, Ilya Nemenman
2020	J	`jnl`	Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons. PLoS Comput. Biol. Audrey J. Sederberg, Ilya Nemenman
2019	J	`jnl`	Thermodynamic Computing. CoRR 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
2017	J	`jnl`	Growth of bacteria in 3-d colonies. PLoS Comput. Biol. Xinxian Shao, Andrew Mugler, Justin Kim, Ha Jun Jeong, Bruce R. Levin, Ilya Nemenman
2017	J	`jnl`	Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor. PLoS Comput. Biol. Vijay Singh, Ilya Nemenman
2016	J	`jnl`	Stereotypical Escape Behavior in Caenorhabditis elegans Allows Quantification of Effective Heat Stimulus Level. PLoS Comput. Biol. Kawai Leung, Aylia Mohammadi, William S. Ryu, Ilya Nemenman
2013	J	`jnl`	Continuum dynamics model of the primary visual cortex for contour detection. CoRR Vijay Singh, Martin Tchernookov, Rebecca Butterfield, Ilya Nemenman
2011	J	`jnl`	Coincidences and Estimation of Entropies of Random Variables with Large Cardinalities. Entropy Ilya Nemenman
2011	J	`jnl`	Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data. J. Comput. Biol. Pradeep Bandaru, Mukesh Bansal, Ilya Nemenman
2011	J	`jnl`	Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. PLoS Comput. Biol. 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
2009	J	`jnl`	Adiabatic coarse-graining and simulations of stochastic biochemical networks. Proc. Natl. Acad. Sci. USA Nikolai Sinitsyn, Nicolas W. Hengartner, Ilya Nemenman
2008	J	`jnl`	Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS Comput. Biol. Ilya Nemenman, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck
2006	J	`jnl`	ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context. BMC Bioinform. Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano
2006	B	`conf`	Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes. RECOMB Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam A. Margolin, Andrea Califano
2005	J	`jnl`	Fluctuation-Dissipation Theorem and Models of Learning. Neural Comput. Ilya Nemenman
2004	J	`jnl`	How is sensory information processed? CoRR Ilya Nemenman
2004	J	`jnl`	Information theory, multivariate dependence, and genetic network inference CoRR Ilya Nemenman
2001	—	`conf`	Entropy and Inference, Revisited. NIPS Ilya Nemenman, F. Shafee, William Bialek
2001	J	`jnl`	Predictability, Complexity, and Learning. Neural Comput. William Bialek, Ilya Nemenman, Naftali Tishby
2000	J	`jnl`	Information theory and learning: a physical approach CoRR Ilya Nemenman
2000	—	`conf`	Learning Continuous Distributions: Simulations With Field Theoretic Priors. NIPS Ilya Nemenman, William Bialek
2000	J	`jnl`	Occam factors and model-independent Bayesian learning of continuous distributions CoRR Ilya Nemenman, William Bialek
2000	J	`jnl`	Predictability, complexity and learning CoRR William Bialek, Ilya Nemenman, Naftali Tishby