Neural Information Processing Systems
Tenth Annual Conference
Monday December 2 - Saturday December 7, 1996
Denver, Colorado
The NIPS*96 registration brochure is now available online. NIPS*96 is the
tenth meeting of an interdisciplinary conference which brings together
cognitive scientists, computer scientists, engineers, neuroscientists,
physicists, and mathematicians interested in all aspects of neural processing
and computation. The conference will include invited talks and oral and
poster presentations of refereed papers. The conference is single track and
is highly selective. Preceding the main session (Dec. 3-5), there will be one
day of tutorial presentations (Dec. 2), both in Denver, Colorado. Following
will be two days of focused workshops on topical issues at Snowmass, Colorado,
a world class ski resort (Dec. 6-7).
The registration brochure and other conference information may be retrieved
via the World Wide Web at
http://www.cs.cmu.edu/Web/Groups/NIPS
We expect to offer online registration soon from the NIPS web site.
Registration material and other information may also be obtained by writing
to:
NIPS*96 Registration
Conference Consulting Associates
451 N. Sycamore
Monticello, IA 52310
fax: (319) 465-6709 (attn: Denise Prull)
e-mail: nipsinfo@salk.edu
REGISTRATION FEES:
Conference (includes Proceedings, Reception, Banquet and 3 Continental
Breakfasts)
Regular $285.00 ($360.00 after Oct. 31, 1996)
Full-time students, with I.D. $100.00 ($150.00 after Oct. 31, 1996)
Workshops
Regular $150.00 ($200.00 after Oct. 31, 1996)
Full-time students, with I.D. $75.00 ($125.00 after Oct. 31, 1996)
Tutorials
Regular $150.00
Full-time students, with I.D. $50.00
TUTORIAL PROGRAM
December 2, 1996
Session I: 09:30-11:30
Mostly statistical methods for language processing
Dan Jurafsky, University of Colorado at Boulder
>From traditional statistical models to neural networks
Trevor Hastie, Stanford University
Session II: 13:00-15:00
Practical pattern recognition via neural networks
Brian Ripley, University of Oxford
Reinforcement learning
Richard S. Sutton, University of Massachusetts
Session III: 15:30-17:30
Neural networks for the human genome project and beyond
Frank Eeckman, Lawrence Berkeley National Laboratory
Challenges of time series prediction
John Moody, Oregon Graduate Institute
CONFERENCE: INVITED TALKS
December 3-5, 1996
Computer graphics for film: Automatic versus manual techniques
Eric Enderton (Banquet Speaker), Industrial Light and Magic
Wavelets, wavelet packets, and beyond: Applications of new adaptive signal
representations
David Donoho, Stanford University and UC Berkeley
Plasticity of dynamics as opposed to absolute strength of synapses
Henry Markram, Weizmann Institute
Transition between rate and temporal coding in neocortex as determined by
synaptic depression
Misha Tsodyks, Weizmann Institute
The CONDENSATION algorithm - Conditional density propagation and applications
to visual tracking
Andrew Blake, University of Oxford
Compositionality, MDL priors and object recognition
Stuart Geman and Elie Bienenstock, Brown University
WORKSHOPS: PRELIMINARY SCHEDULE
December 6-7, 1996
Friday, December 6
Neural modulation and neural information processing
A. Tang and C. Linster
Population coding: Interpreting the responses of neuronal populations
A. Pouget, R. Zemel, P. Dayan
Model complexity
C. Williams & J. Utans
ANNs and continuous optimization: Local minima, sub-optimality and
computational complexity
M. Gori and M. Protasi
The structure of natural images and efficient image coding
D. Ruderman and B. Olshausen
Dynamical recurrent networks
Day 1: J. Kolen and S. Kremer
Connectionist modelling of auditory scene analysis
G. Brown and D. Wang
Rule extraction from ANNs
R. Andrews
Saturday, December 7
Cortical magnification
G. Blasdell
Synaptic transmission: Reliability and variability
V. Murthy and T. Zador
Tricks of the trade: How to really make algorithms work
G. Orr, K. Mueller, & R. Caruana
What does accuracy really mean?
H. Burke and A. Hoang
Modelling error surfaces
S. Mukherjee and T. Fine
Learning vision
A. Yuille and A. Blake
Dynamical recurrent networks
Day 2: James Howse and Bill Horne
Nature inspired algorithms for combinatorial optimization
A. Jagota
Blind signal processing
A. Cichocki and A. Back
NIPS*96 is sponsored by the NEURAL INFORMATION PROCESSING SYSTEMS Foundation,
Inc. with additional sponsorship of student and young investigator travel
awards from the Office of Naval Research.
NIPS*96 Organizing Committee: General Chair, Michael Mozer, U. Colorado;
Program Chair, Michael Jordan, MIT; Publications Chair, Thomas Petsche,
Siemens; Tutorial Chair, John Lazzaro, Berkeley; Workshops Co-Chairs, Michael
Perrone, IBM, and Steven Nowlan, Lexicus; Publicity Chair, Suzanna Becker,
McMaster; Local Arrangements, Marijke Augusteijn, U. Colorado; Treasurer, Eric
Mjolsness, UCSD; Government/Corporate Liaison, John Moody, OGI; Contracts,
Steve Hanson, Siemens, Scott Kirkpatrick, IBM, Gerry Tesauro, IBM. Conference
arrangements by Conference Consulting Associates, Monticello, IA.