Presentations

From Ilya Nemenman

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These are most of the talks, posters, and short lecture series I gave, starting with the most recent ones.

Contents

2008

  1. Aspen Center for Physics, Conference on Decision Making in Single Cells, Jan 2008. Slides.

2007

  1. UCSD Center for Theoretical Biological Physics Seminar, Oct 2007. Slides.
  2. Emory University Computational and Life Sciences Seminar, Oct 2007. Slides.
  3. AMS Fall Western sectional meeting. Oct 2007. Slides.
  4. SFI Workshop From High Level Perception to Low Level Visions, Oct 2007. Slides.
  5. BIOCOMP 2007 conference. Sep 2007. (cancelled trip)
  6. CNS*2007 Workshop on Methods of Information Theory in Computational Neuroscience. July 2007. Slides.
  7. CNS*2007, contributed plenary talk. July 2007. Slides.
  8. 7th Understanding Complex Systems symposium. May 2007. Slides.
  9. UCLA Biomath department seminar. Apr 2007. Slides.
  10. Caltech CNS seminar. Apr 2007. Slides.
  11. KITP/UCSB program on Evolution of Molecular Networks. Apr 2007. Slides.
  12. CNLS conference on Unconventional Computation. Workshop on Neural Computation. Mar 2007. Slides.
  13. UNM SIBBS: Seminar in Biological and Biomedical Sciences on Stochastic Biochemistry. Feb 2007.
  14. Poster at Grand Challenges in Neural Computation conference. Feb 2007. Poster.

2006

  1. LANL TSC capability workshop Advanced Methods for Data Analysis. Coincidences and entropies of undersampled distributions. Sep 2006. Slides.
  2. DIMACS workshop on Dialogue on Reverse Engineering Assessment and Methods (DREAM). Reconstruction of metabolic networks from high throughput metabolic profiling data: in silico analysis of Red Blood Cell metabolism. Sep 2006. Slides (Caution: Large file).
  3. LANL TSC capability workshop Complex Networks. Information-theoretic reconstruction of interaction graphs in complex networks. Aug 2006. Slides.
  4. UNM/CS, Terran Lane's group seminar. Two Notes on Transcriptional Regulatory Networks. Aug 2006.
  5. International Conference on Molecular Systems Biology, Munich. Reconstruction of Metabolic Networks from High Throughput Metabolic Data: In Silico Analysis of RBC metabolism. Slides (Caution: Large file).
  6. Indiana University Biocomplexity Seminar, Two Notes on Transcriptional Regulatory Networks. Apr 2006. Slides (Caution: Large file).
  7. Santa Fe Institute. Natural Stimuli and Precision of Spike Timing in Fly Vision. Apr 2006. Slides.
  8. UNM Cancer Research Center, Albuquerque. Modeling genetic regulation at different levels: framework, algorithms, applications. Apr 2006. Slides (Caution: Large file).
  9. New Mexico Bioinformatics Symposium, Santa Fe. Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes. Mar 2006. Slides (Caution: Large file), Talk.
  10. Keystone Symposium on Systems Biology, Taos, NM. Poster. Optimal Information Processing in Small Stochastic Biochemical Networks. Mar 2006. Poster.
  11. LANL, D-1 seminar. A Bayesian Estimator of Entropies in a Severely Undersampled Regime: Theory and Applications to the Neural Code. Jan 2006. Slides.

2005

  1. NIPS'05 Computational Biology Workshop. Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes. Dec 2005. Slides (Caution: Large file).
  2. Baylor College of Medicine, Neuroimaging Laboratory. High spiking precision and natural stimuli. Nov 2005. Slides.
  3. Texas A&M College Station, Models for Genetic Regulatory Networks conference. Modeling genetic regulation at different levels: framework, algorithms, applications. Nov 2005. Slides (Caution: Large file).
  4. IAS, Princeton, Systems Biology. Modeling genetic regulation at different levels: framework, algorithms, applications. Nov 2005. Slides (Caution: Large file).
  5. Rutgers, BioMaPs. Modeling genetic regulation at different levels: framework, algorithms, applications. Oct 2005. Slides (Caution: Large file).
  6. University of Washington, Seattle, Biophysics and Physiology. How much does a fly know about its world? July 2005.
  7. UCSF, Computational Biology. An informal talk on Information-theoretic methods for analysis of microarray data. June 2005.
  8. CSHL, Computational Neuroscience. How much does a fly know about its world? June 2005. Slides.
  9. Columbia, C2B2. Information theory in systems biology. June 2005. Slides (Caution: Large file).
  10. LANL, CCS-3. Information theory in systems biology. Apr 2005. Slides (Caution: Large file).
  11. Cornell, LASSP/Physics colloquium. How much does a fly know about its world? Apr 2005. Slides.
  12. IBM Watson research center, physics. How much does a fly know about its world? Apr 2005. Slides.
  13. Computational Neuroscience, Columbia. Thinking about information processing in biological systems. Mar 2005. Slides.
  14. MIT, Biophysics. Informal talk on Information theoretic perspective on signal transduction. Feb 2005.
  15. Harvard, Bauer Center for Genomics Research. Thinking about information processing in biological systems. Feb 2005. Slides.
  16. University of Michigan, Ann Arbor, Physics. Statistical physics of information processing in biological systems. Feb 2005. Slides.
  17. University of Maryland, College Park, Computational Neuroscience. Fluctuation-dissipation theorem and models of learning. Jan 2005.

2004

  1. Rutgers Statistical Mechanics Meeting, New Brunswick, NJ. On the reconstruction of interaction networks with applications to transcriptional regulation. Dec 2004.
  2. NIPS 2004 workshop on Computational Biology, Whistler, BC. On the reconstruction of interaction networks with applications to transcriptional regulation. Dec 2004. Slides.
  3. LANL, Theoretical Biology / CNLS. ARACNE: An algorithm for the reconstruction of transcriptional regulatory networks in a mammalian cellular context. Dec 2004. Slides.
  4. NEU, physics colloquium. Predictive information: From definition to applications to biological systems. Nov 2004. Slides.
  5. BU, Biodynamics lab seminar. ARACNE: Reverse-Engineering Transcriptional Networks. Nov 2004. Slides.
  6. UCSB, KITP, "Understanding the Brain" program seminar. Fluctuation-dissipation theorem and models of learning. Sep 2004. Talk.
  7. UCLA, IPAM, Proteomics Colloquium. Estimating information quantities from biological data. Apr 2004. Slides.
  8. UCSF, Keck neuroscience center. Estimating information content of biological data. Apr 2004. Slides.
  9. NYU, CS colloquium. Estimating information content of biological data. Mar 2004. Slides.
  10. Computational and Systems Neuroscience conference, CSHL, Poster. How is sensory information processed? Mar 2004. Poster.
  11. LANL, CNLS. Predictive information: From definition to applications to biological systems. Mar 2004. Slides.
  12. Columbia University, C2B2. Estimating entropy and information in biological data. Mar 2004. Slides.
  13. IBM Watson Research Center, Systems Biology and Functional Genomics group. Predictive information: From definition to applications to biological systems. Mar 2004. Slides.
  14. Rockefeller University, Center for Studies in Physics and Biology. Estimating entropy and information in biological data. Mar 2004. Slides.

2003

  1. NIPS'03 workshop on Entropy Estimation. Entropy and information estimation. Dec 2003. Slides.
  2. KITP, UCSB, "Patterns formation" program seminar. Subextensivity and Complexity in Physical Systems: An Informal View. Nov 2003. Talk.
  3. Columbia University, Computational biology. Entropy and information of undersampled probability distributions. Oct 2003. Slides.
  4. KITP, UCSB colloquium. A new kind of science? (reviewing the book by S. Wolfram). Mar 2003. Talk.
  5. Neural Information Coding workshop. Novel approach to estimation of entropies of discrete variables with applications to neural coding. Mar 2003. Poster.
  6. UCSB Ststistics department, short lecture seris on Information theory and Bayesian inference. Feb 2003.

2002

  1. NIPS 2002 workshop on Universal learning. Dec 2002. Universal learning: A view of a Bayesian. Slides.
  2. NIPS 2002 workshop on Negative results and open problems. Dec 2002. On impossibility of learning in a reparameterization covariant way. Slides, Paper.
  3. CalTech's complexity club. Nov 2002. Predictive complexity. Paper.
  4. Theoretical biophysics group meeting, Princeton university. Nov 2002. Axiomatics of network information theory.
  5. Courant Institute, NYU, Bioinformatics group. Oct-Nov 2002. Short lecture seris on Information theory and Bayesian inference.
  6. Columbia University Applied Mathematics seminar. Oct 2002. Predictability, Complexity, and Learning. Slides, Paper.
  7. Courant Institute, NYU, Bioinformatics seminar. Oct 2002. Bayesian statistics, Occam razor, and model-independent learning of continuous probability densities. Slides (slightly misformatted), Paper.
  8. UCSB Statistics Department Colloquium. May 2002. Occam factors, spline priors, and model-independent learning of continuous distributions. Slides (slightly misformatted), Paper.
  9. ITP, UCSB Director's blackboard lunch talk. Mar 2002. Field theory meets the brain. Talk, Paper, Paper.

2001

  1. NIPS-2001 poster. Dec 2001. Entropy and inference, revisited. Poster, Paper.
  2. ITP, UCSB colloquium. Oct 2001. Predictability, Complexity, and Learning. Talk, Paper.
  3. Conference on Frontiers in physics of complex systems, Dead Sea, Israel. Mar 2001. Complexity through nonextensivity. Slides, Paper.
  4. NYU Courant Institute / Center for Neuroscience seminar. Mapy 2001. Predictability, Complexity, and Learning. Slides, Paper.
  5. Rockefeller University, Center for Studies in Physics and Biology colloquium. Feb 2001. Predictability, Complexity, and Learning. Slides (have a wrong date), Paper.
  6. MIT Cognitive Science Department, Sebastian Seung's lab seminar. Jan 2001. Predictability, Complexity, and Learning. Slides, Paper.

2000

  1. New England Complex Science Institute colloquium. Predictability, Complexity, and Learning, Nov 2000. Slides, Paper.
  2. NIPS-2000 talk on Learning continuous distributions, Nov 2000. Slides (have a wrong date), Paper.
  3. NEC, Biophysics seminar, Aug 2000.
  4. NEC, Biophysics seminar, Apr 2000.
  5. HUJI Machine Learning Seminar, Jan 2000. Information theory and learning. Paper.

1998

  1. Gravity Probe B, Theory Group seminar, Jul 1998.

1997

  1. CERN/PPE/L3 talk, Aug 1997. BGO dead crystall correction and shower fitting. Paper.

1994

  1. Belarusian State University, Theoretical Physics seminar, Jun 1994.
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