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NIPS 2004 Call for Papers
CALL FOR PAPERS --- NIPS 2004
Neural Information Processing Systems --- Natural and Synthetic
Monday, December 13 --- Saturday, December 18, 2004
Vancouver, British Columbia, Canada
http://nips.cc
Deadline for Paper Submissions: June 4, 2004
Submissions are solicited for the eighteenth annual meeting of an
interdisciplinary NIPS Conference (December 14-16) which brings together
researchers interested in all aspects of neural and statistical
processing and
computation. The Conference will include invited talks as well as Oral
and
Poster Presentations of refereed papers and Demonstrations. It is single
track
and highly selective. Preceding the main Conference will be one day of
Tutorials (December 13), and following it will be two days of Workshops
at
Whistler/Blackcomb ski resort (December 17-18).
INVITED SPEAKERS:
* John Donoghue, Brown University --- Mind over Movement: Developing
Neurotechnologies to Restore Lost Function;
* Gerd Gigerenzer, Max Planck Institute for Human Development --- Fast
and
Frugal Heuristics: The Adaptive Toolbox;
* Nati Linial, Hebrew University of Jerusalem --- Expanders, Eigenvalues
and All That;
* Bernard Palsson, University of California, San Diego, Systems Biology
---
Bringing Genomes to Life;
* Shimon Ullman, Weizmann Institute of Science --- Classification,
Recognition
and Segmentation Using Fragments Hierarchy
TUTORIAL SPEAKERS:
* William Bialek, Princeton University --- Optimization Principles in
Neural
Coding and Computation;
* Shahar Mendelson, Australian National University --- A Geometric
Approach to
Statistical Learning Theory;
* Radford Neal, University of Toronto --- Bayesian Methods in Machine
Learning;
* David Parkes, Harvard University --- Computational Mechanism Design
and
Auctions
* Richard Szeliski, Microsoft Research --- Acquiring Detailed 3D Models
from
Images and Video;
* Daniel Wolpert, University College London --- Probabilistic
Computations in
Human Sensoriomotor Control
SUBMISSIONS
Papers are solicited in all areas of neural information processing,
including
(but not limited to) the following:
* Algorithms and Architectures --- statistical learning algorithms,
neural
networks, kernel methods, graphical models, Gaussian processes,
independent
component analysis, model selection, combinatorial optimization.
* Applications --- innovative applications or fielded systems that use
machine
learning, including systems for time series prediction, bioinformatics,
text/web analysis, multimedia processing, and robotics.
* Brain Imaging --- neuroimaging, cognitive neuroscience, EEG
(electroencephalogram), ERP (event related potentials), MEG
(magnetoencephalogram), fMRI (functional magnetic resonance imaging),
brain
mapping, brain segmentation.
* Cognitive Science and Artificial Intelligence --- theoretical,
computational,
or experimental studies of perception, psychophysics, human or animal
learning,
memory, reasoning, problem solving, language, and neuropsychology.
* Control and Reinforcement Learning --- decision and control,
exploration,
planning, navigation, Markov decision processes, game-playing,
multi-agent
coordination, computational models of classical and operant
conditioning.
* Emerging Technologies --- analog and digital VLSI, neuromorphic
engineering,
computational sensors and actuators, microrobotics, bioMEMS, neural
prostheses,
photonics, molecular and quantum computing.
* Learning Theory --- generalization and regularization, information
theory,
statistical physics of learning, Bayesian methods, approximation bounds,
online
learning and dynamics.
* Neuroscience --- theoretical and experimental studies of processing
and
transmission of information in biological neurons and networks,
including spike
train generation, synaptic modulation, plasticity and adaptation.
* Speech and Signal Processing --- recognition, coding, synthesis,
denoising,
segmentation, source separation, auditory perception, psychoacoustics,
dynamical systems, recurrent networks, Markov models.
* Visual Processing --- biological and machine vision, image processing
and
coding, segmentation, object detection and recognition, motion detection
and
tracking, visual psychophysics, visual scene analysis and
interpretation.
* Demonstrations --- Authors wishing to submit to the Demonstration
track
should consult the Conference web site.
REVIEW CRITERIA:
Submissions will be refereed on the basis of technical quality, novelty,
significance, and clarity. Authors new to NIPS are particularly
encouraged to
submit. There will be an opportunity after the meeting to revise
accepted
manuscripts.
PAPER FORMAT:
Submissions may be up to eight pages in length, including figures and
references, using a font no smaller than 10 point. Text is to be
confined
within a 8.25 inch by 5 inch rectangle. Submissions violating these
guidelines
will not be considered.
SUBMISSION INSTRUCTIONS:
NIPS accepts only electronic submissions in postscript and PDF format.
The
Conference web site will accept electronic submissions from May 19, 2004
until
midnight, June 4, 2004, Pacific daylight time.
ORGANIZING COMMITTEE:
* General Chair, Lawrence Saul, University of Pennsylvania;
* Program Chair, Yair Weiss, Hebrew University of Jerusalem;
* Tutorials Chair, Richard Zemel, University of Toronto;
* Workshops Co-chairs, Satinder Singh Baveja, University of Michigan,
Daniel Lee, University of Pennsylvania;
* Demonstrations Chairs, Tobi Delbruck, ETH/University of Zurich,
Timothy Horiuchi, University of Maryland;
* Publications Chair, Leon Bottou, NEC Research Institute;
* Publicity Chair, John Platt, Microsoft Research;
* Online Proceedings Chair, Andrew McCallum, University of Massachusetts
Amherst;
* Volunteers Chair, Sam Roweis, University of Toronto.
PROGRAM COMMITTEE:
Yair Weiss (Chair), Hebrew University of Jerusalem;
Yoshua Bengio, University of Montreal;
Jeff Bilmes, University of Washington;
Nello Cristianini, University of California Davis;
Trevor Darrell, Massachusetts Institute of Technology;
Geoff Gordon, Carnegie Mellon University;
Daphne Koller, Stanford University;
John Lafferty, Carnegie Mellon University;
Shih-Chii Liu, Swiss Federal Institute of Technology Zurich;
Ron Meir, Technion, Israeli Institute of Technology;
Maneesh Sahani, University College London;
Bernhard Schoelkopf, Max-Planck Institute for Biological Cybernetics;
Matthias Seeger, University of California, Berkeley;
Richard Shiffrin, Indiana University;
Eero Simoncelli, New York University;
Martin Wainwright, University of California Berkeley;
Daphna Weinshall, Hebrew University of Jerusalem.
DEADLINE FOR PAPER SUBMISSIONS: JUNE 4, 2004