Program Highlights
Timetable of Events
Tutorials
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Monday, December 8, 2003
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Conference
Tuesday, December 9 and Wednesday, December 10, 2003
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Workshops
Thursday, December 11, 2003
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Tutorials – Monday, December 8, 2003
Session I: 9:30-11:30 am
Klaus-Robert Mueller, University of Potsdam Computer Science and Fraunhofer FIRST
Towards Brain Computer Interfacing
Stephen Boyd, Department of Electrical Engineering, Stanford University
Convex Optimization and Applications
Session 2: 1:00-3:00 pm
Zach Mainen, Cold Spring Harbor Laboratory
Neural Coding and the Olfactory System
David Lowe, Computer Science Department, University of British Columbia
Real-time Object Recognition using Invariant Local Image Features
Session 3: 3:30-5:30 pm
Daniel D. Lee, Department. of Electrical Engineering and Bioengineering, University of Pennsylvania
Learning in Sensorimotor Systems
David Karger, Laboratory for Computer Science, EECS, MIT
Algorithmic Tools Applied to Learning and Inference Problems
Conference – Tuesday-Thursday, December 9-11, 2003
Invited Speakers
Sydney Brenner, The Salk Institute
Theoretical Biology in the Third Millenium
Anders Dale, Harvard University
Relating Brain Imaging Signals to Biophysical Models of Neuronal Circuits
Michale Fee, Bell Labs, Lucent Technologies
Time and Sequence in the Brain: Insights from a Songbird
Marc Mezard, Université de Paris Sud
Analytic and Algorithmic Solutions of Random Satisfiability Problems
Elissa Newport, University of Rochester
Statistical Language Learning in Human Infants and Adults
David Salesin, University of Washington and Microsoft Research
The Need for Machine Learning in Computer Graphics
Workshops – December 12-13, 2003
Two-day Workshops – Friday and Saturday:
Neural-Inspired Architectures for Nanoelectronics
Valeriu Beiu, Washington State University; Ulrich Ruckert, Heinz Nixdorf Institute/Paderborn University, Germany
Robust Communication Dynamics in Complex Networks
Rajarshi Das, IBM T. J. Watson Research Laboratory, New York; Irina RIsh, IBM T. J. Watson Research Laboratory, New York; Gerry Tesauro, IBM T. J. Watson Research Laboratory, New York; Cris Moore, University of New Mexico and Santa Fe Institute
Friday Workshops:
William Bialek, Princeton University; Ilya Nemenman, University of California at Santa Barbara
Isabelle Guyon, Clopinet Enterprises, California; Masoud Nikravesh, University of California, Berkeley; Kristin Bennett, Rensselaer Polytechnic Institute, New York; Richard Caruana, Carnegie Mellon University; Asa Ben-Hur, Stanford University; André Elisseeff, IBM, Zurich, Switzerland; Fernando Perez-Cruz, University Carlos III, Madrid, Spain; Steve Gunn, University of Southampton, UK
Hyperspectral Remote Sensing and Machine Learning
J. Anthony Gualtieri, Applied Informations System and Global Science and Technology, NASA/GSFC, Maryland, USA
Machine Learning Meets the User Interface
John Shawe-Taylor, Department of Electronics and Computer Science, University of Southampton; John Platt, Microsoft Research
Neural Representation of Uncertainty
Sophie Deneve, Gatsby Computational Neuroscience Unit, UCL, London; Angela J Yu, Gatsby Computational Neuroscience Unit, UCL, London
New Problems and Methods in Bioinformatics
Christina Leslie, Columbia University; William Stafford Noble, University of Washington
The RNNaissance Workshop (Recurrent Neural Networks)
Juergen Schmidhuber, IDSIA, Manno-Lugano, Switzerland; Alex Graves, IDSIA, Manno-Lugano, Switzerland; Bram Bakker, IDSIA, Manno-Lugano, Switzerland, and University of Amsterdam, The Netherlands
Syntax, Semantics, and Statistics
Richard M. Shiffrin, Indiana University, Bloomington; Mark Steyvers, University of California Irvine; David Blei, University of California, Berkeley; Tom Griffiths, Stanford University
Saturday, December 13:
Approximate Nearest Neighbor Techniques for Local Learning and Perception
Trevor Darrell, MIT Computer Science and Artificial Intelligence Lab; Piotr Indyk, MIT Computer Science and Artificial Intelligence Lab; Greg Shakhnarovich, MIT Computer Science and Artificial Intelligence Lab; Paul Viola, Microsoft Research
Computing With Spikes: Implementation of Biology and Theory
Ralph Etienne-Cummings, Johns Hopkins University and University of Maryland; Timothy Horiuchi, University of Maryland; Giacomo Indiveri, Institute of Neuroinformatics, ETHZ, Zurich
ICA: Sparse Representations in Signal Processing
Barak A. Pearlmutter, Hamilton Institute, NUI Maynooth; Scott T. Rickard, University College Dublin, Ireland; Justinian Rosca, Siemens Corporate Research; Stefan Harmeling, Fraunhofer FIRST, Berlin
Information Theory and Learning: The Bottleneck and Information Distortion Approach
Naftali Tishby, Hebrew University, Israel; Tomas Gedeon, Montana State University
Neural Processing of Complex Acoustic Signals
Melissa Dominguez, McMaster University, Ontario; Ian C. Bruce, McMaster University, Ontario; Sue Becker, McMaster University, Ontario
Nonparametric Bayesian Methods and Infinite Models
Matthew J. Beal, University of Toronto, Ontario; Yee-Whye Teh, University of California at Berkeley
Open Challenges in Cognitive Vision
Barbara Caputo, NADA --CVAP/CAS, KTH, Stockholm; Henrik Christensen, NADA --CVAP/CAS, KTH, Stockholm; Christian Wallraven, MPIK, Tuebingen
Planning for the Real-World: The Promises and Challenges of Dealing with Uncertainty
Joelle Pineau, Carnegie Mellon University; Nicholas Roy, Massachusetts Institute of Technology; Drew Bagnell, Carnegie Mellon University