| Call for Papers |
| Topics |
| Workshop |
| Special Sessions |
| Dates |
| Location |
| Submission |
| Schedule |
| Organizers |
| Registration |
| Contact |
Information Theory and Statistical Learning (ITSL)
Harnessing information processing in biological systems
International conference in conjunction with WORLDCOMP'08
Las Vegas, Nevada (July 14-15, 2008)
- Classical Aspects of Information Theory
- Information Theory and Statistics
- Data Compression
- Information Theory in Machine Learning
- Coding theory
- Pattern Recognition and Learning
- Signal Processing
- Probabilistic Methods for the Analysis of Algorithms
- MCMC Methods
- Information Geometry
- Information-theoretic Techniques in Discrete Geometry
- Quantum Information Theory
- Information-theoretic Methods for Web/Text Mining
- Information Processing in Complex Networks
- Information-theoretic Methods for Analyzing Biological Networks
- Information-theoretic Measures to Analyze and Characterize Network Classes
- Graph Entropies
- Methods in Analytical Combinatorics for Analyzing Networks
- Measuring Structural Information Content of Networks
- Complexity of Network Structures
- Network Inference based on Information-theoretic Methods
- Information Theory in Molecular Biology
- Information Theory in Neuroscience
- Probabilistic Methods in Graph Theory
- Network Coding
- Phase Transitions
- Random Networks
- Information-theoretic Methods in Mathematical Chemistry
- entropic measures for Ehrhart polynomials, e.g., behavior of their roots,
- analytical and statistical methods for Ehrhart polynomials,
- information-theorical and computational aspects of lattice point counting,
- memory cache issues and compiler optimization,
- optimization of embedded systems,
- cache miss equations and program analysis,
- libraries (Omega, Polylib-Ehrhart, LattE, Barvinok etc.).
- Matthias Beck, San Francisco State University, USA
- Thomas Stoll, Vienna University of Technology, Austria
- Asymptotic theory of large quantum systems
- Quantum complexity, computation models and algorithms
- Entropy and complexity
- Quantum hypothesis testing
- Quantum channels, capacity and the additivity conjecture
- Ergodicity and mixing conditions
- Quantum Large deviations
- Quantum networks
- Tyll Krüger, University of Bielefeld, Germany and Technische Universität Berlin, Germany
- Rainer Schulze, University of Bielefeld, Germany and Technische Universität Berlin, Germany
- Markus Müller, Max Planck Institut für Mathematik in den Naturwissenschaften, Leipzip, Germany
- January 10, 2008: Proposals for organizing/chairing sessions/workshops
- March 30, 2008: Submission of papers (about 4 to 6 pages)
- April 17, 2008: Notification of acceptance
- Mai 3, 2008: Camera-Ready papers and Registration due
- July 14-15, 2008: Conference: Information Theory and Statistical Learning (ITSL'08)
- Title of the paper
- Name, affiliation, postal address (including country) and E-mail address for each author
- A maximum of 5 keywords
- Joao Barros, University of Porto, Portugal and MIT, USA
Information Flow in Self-Organized Networks - Subhash Basak, University of Minnesota, USA
Pattern recognition of chemical and biological systems by information theoretic invariants - Michelle Effros, California Institute of Technology, USA
An Equivalence View of Network Information Theory - Sally J. Goerner, Integral Science Institute, USA
Quantifying Economic Sustainability: Social and Economic Implications of Centripetality and a New Measure of Network Vitality - Wojciech Szpankowski, Purdue University, USA
Information Transfer in Biological Systems - Matthias Dehmer, Vienna University of Technology, Vienna, Austria
- Michael Drmota, Head of the Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria
- Frank Emmert-Streib, University of Washington, Seattle, USA
- Shun-ichi Amari, RIKEN, Japan
- Hamid R. Arabnia, University of Georgia, USA
- Milan Studeny, Academy of Sciences of the Czech Republic, Czech Republic
- Naftali Tishby, The Hebrew University, Israel
- Paul Vitanyi, University of Amsterdam, Netherlands
- Gil Alterovitz, Harvard Medical School and MIT, USA
- Nihat Ay, Max Planck Institute for Mathematics in the Sciences, Germany
- Joao Barros, University of Porto, Portugal
- Toby Berger, Cornell University, USA
- Philippe Blanchard, Universität Bielefeld, Germany
- Danail Bonchev, Virginia Commonwealth University, USA
- Mieczyslaw Borowiecki, University of Zielona Gora, Poland
- Joseph J. Boutros, Texas A&M University at Qatar, Qatar
- Caslav Brukner, University of Vienna, Austria
- Todd P. Coleman, University of Illinois at Urbana-Champaign, USA
- Juergen Dassow, Otto-von-Guericke-University of Magdeburg, Germany
- Gustavo Deco, Universitat Pompeu Fabra, Barcelona, Spain
- Abdol-Hossein Esfahanian, Michigan State University, USA
- Christina Fragouli, EPFL, CH
- Donald German, Johns Hopkins University, USA
- Martin Grabner, Max F. Perutz Laboratories, Vienna Bio Center, Austria
- Jürgen Jost, Max Planck Institute for Mathematics in the Sciences, Germany
- Ioannis Kontoyiannis, Brown University, USA
- Tyll Krüger, University of Bielefeld, Germany
- Alexander Mehler, University of Bielefeld, Germany
- Olgica Milenkovic, University of Colorado, Boulder, USA
- Max Mühlhäuser, Darmstadt University of Technology, Germany
- Ilya Nemenman, Los Alamos National Laboratory, USA
- Alon Orlitsky, University of California, San Diego, USA
- Daniel Polani, University of Hertfordshire, UK
- Maxim Raginsky, University of Illinois at Urbana-Champaign, USA
- Andrei E. Romashchenko, 'ENS de Lyon, France
- Gil Shamir, University of Utah, USA
- Predrag Spasojevic, Rutgers, USA
- Yossef Steinberg, Technion, Israel
- Thomas Stoll, Vienna University of Technology, Austria
- Jim Storer, Brandeis University, USA
- Ludwig Streit, University of Madeira, Portugal
- Wojciech Szpankowski, Purdue University, USA
- Ullrich Tamm, Marmara University, Turkey, University of Bielefeld, Germany
- Jean-Pierre Tillich, INRIA, France
- Ruediger Urbanke, EPFL, CH
- Igor Vajda, Academy of Sciences of the Czech Republic, Czech Republic
- Harri Valpola, Helsinki University of Technology, Finland
- Jeffrey S. Vitter, Purdue University, USA
- Vladimir V'yugin, Russian Academy of Sciences, Russia
- Kazuho Watanabe, University of Tokyo, Japan
- Aylin Yener, Pennsylvania State University, USA
- Zhen Zhang, University of Southern California, USA
'Information Theory and Statistical Learning' is an interdisciplinary conference aiming to bring together researches from Information Theory, Machine Learning, Computational Biology, Biostatistics, Computer Science, Physics and related areas to present the newest developments in the interface between Information Theory and Statistical Learning. Especially, new methods designed for analyzing information processing in biological systems, e.g., from molecular and cell biology, genetics or neuroscience, are of central importance.
Another major topic of 'Information Theory and Statistical Learning' is the application of Information Theory for the analysis of Networks as can be found nowadays omnipresently in biological, technical, sociological or economical systems. Furthermore, all aspects of classical Information Theory topics like compression or coding - applied or theoretical - are also of interest for ITSL.
Topics |
Workshop |
The workshop 'Information-Theoretic Aspects of Integer-Point Enumeration in Polyhedra' will be helt in conjunction with ITSL08.
The entitled workshop aims to bring together researchers from various fields within the framework of information theory and discrete geometry. Special emphasize is given on developments concerning Ehrhart's theory of lattice point enumeration in convex polyhedra in pure mathematics, computer science and information theory. Contributions from both a theoretical and practical point of view are welcome. The main focus of the workshop consists in giving the participants an up-to-date account on recent progress in this fields. In this context, we strongly encourage submissions from the following areas:
All accepted papers will be published in the conference proceedings. Additionally, we plan to publish extended versions of the best papers in a special issue of a journal.
Organizer of the workshop:
Papers should be submitted to Matthias Beck or Thomas Stoll.
Special Sessions |
Session: Selected Topics in Quantum Information Theory
The quantization of basic concepts in Information theory, Complexity theories and Mathematical Statistics, as well as the study of the peculiar, new and surprising features that appear, when Quantum Physics is considered from an information theoretic point of view, have attracted much attention in the last two decades. The workshop is addressed to cover recent developments in that amazing field. The opportunity to present this topic within a conference on general information theoretic issues is very welcome. Special attention is given to developments, which emphasize the connection between the classical and quantum theories, and contributions which give also the broader audience some motivation and introductory view into the field are particularly welcome.
Some of the areas we would like to put the focus on, are:
Accepted papers will be published in the conference proceedings.
Organizers:
Papers should be submitted to Tyll Krüger.
top
Dates |
Sponsors |
We are deeply greatful to the project Network Models, Governance and R& D Collaboration Networks (NEMO) for financial support. NEMO is funded by the European Union at the Vienna University of Technology.
Location |
Submission |
Also, the file size is limited to 8 MB. Violations of any of the above paper specifications may result in rejection of the paper.
In addition to paper submissions we also accept abstracts (not longer than one page) for poster presentations.
Schedule |
Confirmed Keynote Speakers (tentative titles):
Organizers |
Co-Chairs:
Vice-Chairs:
Program Committee:
Registration |
You can register for the ITSL'08 conference here.
top
Contact |
Questions regarding this conference?
Email: ITSL committee
top