NIPS*91 UPDATE

[Steve Hanson]

NIPS*91 FINAL ORAL PROGRAM 

MONDAY DECEMBER 2


After Dinner Talk:
Allan Hobson, Harvard Medical School 
"Models Wanted: Must Fit Dimensions of Sleep and Dreaming"


TUESDAY DECEMBER 3

ORAL 1:  LEARNING and GENERALIZATION I

O.1.1 V. Vapnik, Institute of Control Sciences, Academy of Sciences
      "Principles of Risk Minimization for Learning Theory" (INVITED TALK)

O.1.2 D. MacKay, Caltech
      "A Practical Bayesian Framework for Backprop Networks"

0.1.3 J .Moody, Yale Computer Science
     " Generalization, Weight Decay, and Architecture Selection for 
      Nonlinear Learning Systems"

O.1.4 D. Haussler UC Santa Cruz	
      M.  Kearns,	International Computer	Science Institute
      M. Opper, Institute fuer Theoretische Physik
      R. Schapire, Harvard University		
      "Estimating Average-Case Learning Curves Using Bayesian, 
      Statistical Physics and VC Dimension Methods"



ORAL 2: TEMPORAL PROCESSING

O.2.1  S. P. Singh, University of Massachusetts		
      "The Efficient Learning of Multiple Task Sequences"

O.2.2  G. Tesauro, IBM 
      "Practical Issues in Temporal Difference Learning"

O.2.3  H. Hild, Universitat Karlsruhe	
       W. Menzel, Universitat Karlsruhe	
       J. Feulner, Universitat Karlsruhe	
       "A Neural Net For Harmonizing Chorals in the Style of J.S. Bach"

O.2.4  M.A. Jabri, Sydney University
       S. Pickard, Sydney University
       P. Leong, Sydney University
       Z. Chi, Sydney University
       B. Flower, Sydney University
       "Architectures and Implementation of Right Ventricular Apex 
        Signal Classifiers for Pacemakers"


SPOTLIGHT I:       TEMPORAL PROCESSING

ORAL 3: VISUAL PROCESSING

O.3.1  D. A. Robinson, Johns Hopkins University School of Medicine
       "Information Processing to Create Eye-Movements" (INVITED TALK)

O.3.2  S. Becker, University of Toronto	
       G. E. Hinton, University of Toronto	
       "Learning to Make Coherent Predictions in Domains 
       with Discontinuities"

O.3.3  K. A. Boahen,  Caltech
       A. G. Andreou, John Hopkins
       "A Contrast Sensitive Silicon Retina with Reciprocal Synapses"

O.3.4	P.A. Viola, MIT
	S.G. Lisberger, UC San Francisco
	T.J. Sejnowski, Salk Institute for Biological Science, 
	"Recurrent Eye Tracking Network Using a Distributed 
	Representation of Image Motion"	


ORAL 4: OPTICAL CHARACTER RECOGNITION

O.4.1  F. Faggin, Synaptics
        "Neural Network Analog VLSI Implementations" (INVITED TALK)

O.4.2  J. D. Keeler,  MCC	
        D. E. Rumelhart,  Stanford University		
       "Self-Organizing Segmentation and Recognition Neural Network"

O.4.3  I. Guyon, ATt&T Bell Laboratories
        V.N. Vapnik, ATt&T Bell Laboratories
        B.E. Boser, ATt&T Bell Laboratories
        L.Y. Bottou, ATt&T Bell Laboratories
        S.A. Solla, ATt&T Bell Laboratories
       "Structural Risk Minimization for Character Recognition"


SPOTLIGHT II:      VISUAL PROCESSING AND OCR
SPOTLIGHT III: APPLICATIONS and PERFORMANCE COMPARISONS


WEDNESDAY DECEMBER 4

ORAL 5: LEARNING and GENERALIZATION II

O.5.1  J. S. Judd, Siemens Research
      "Constant-Time Loading of Shallow 1-Dimensional Networks"

O.5.2 J. Alspector, Bellcore
      A. Jayakumar,Bellcore
      S. Luna, University of California
      "Experimental Evaluation of Learning in a Neural Microsystem"

O.5.3 C. McMillan, University of Colorado
      M. C. Mozer, University of Colorado
      P. Smolensky, University of Colorado		
      "Rule Induction Through A Combination of Symbolic and 
      Subsymbolic Processing"

O.5.4 G. Towell, University of Wisconsin-Madison
      J. W. Shavlik, University of Wisconsin-Madison
      "Interpretation of Artificial Neural Networks: Mapping 
      Knowledge-Based NN into Rules"

SPOTLIGHT IV: LEARNING & ARCHITECTURES

ORAL 6: LOCOMOTION, PLANNING & CONTROL

O.6.1  A. W. Moore, MIT	
      "Fast, Robust Adaptive Control by Learning only Forward Models"

O.6.2  S. B. Thrun, German National Research Center for Computer Science
       K. Moeller, University of Bonn	
       "Active Exploration in Dynamic Environments"

O.6.3  J. Buchanan, Marquette University
      "Locomotion In A Lower Vertebrate:  
       Studies of The Cellular Basis Of
       Rhythmogenesis and Oscillator Coupling"

O.6.4  M. Lemmon, University of Notre Dame	
       "Oscillatory Neural Networks for Globally Optimal Path Planning"

SPOTLIGHT V: NEURAL CONTROL

ORAL 7: SELF ORGANIZATION, ARCHITECTURES and LEARNING

O.7.1  M. I. Jordan, MIT
       R. A. Jacobs , MIT
       "Hierarchies of Adaptive Experts"

O.7.3  S. J. Nowlan, University of Toronto	
       G. E. Hinton, University of Toronto	
       "Adaptive Soft Weight Tying using Gaussian Mixtures"

O.7.4  D. Rogers, Research Institute for Advanced Computer Science	
       "Friedman's Multivariate Adaptive Regression Splines 
       (MARS)Algorithm with Holland's Genetic Algorithm"

O.7.5  D. Wettschereck, Oregon State University	
       T. Dietterich, Oregon State University	
       "Improving the Performance of Radial Basis Function 
       Networks by Learning Center Locations"

SPOTLIGHT VI: SPEECH

ORAL 8: VISUAL SYSTEM

O.8.1  A. Bonds,  Vanderbilt University
       "Dual Inhibitory Mechanisms for Definition of Receptive 
       Field Characteristics in Cat Striate Cortex"

O.8.2  K. Obermayer, University of Illinois
       K. Schulten, University of Illinois 
       G.G. Blasdel, Harvard Medical School
       "Comparison Between a Neural Network Model for the Formation 
       of Brain Maps and Experimental Data"

O.8.3  R. Kessing,  Ricoh California Research Center
       D. Stork, Ricoh California Research Center
       C.J. Schatz, Stanford University School of Medicine 
       "Retinogeniculate Development:  The Role of Competition and 
       Correlated Retinal Activity"

SPOTLIGHT VII: LEARNING & ARCHITECTURES

THURSDAY DECEMBER 5

ORAL 9: APPLICATIONS

O.9.1   M. R. Rutenburg, NeuroMedical Systems, Inc,
      "PapNET: A Neural Net Based Cytological Screening System" (INVITED TALK)

O.9.2   M. Roscheisen Munich Technical University
        R. Hofmann,  Munich Technical University
        V. Tresp,  Siemens AG	
        "Incorporating Prior Knowledge in Parsimonious Networks of 
         Locally-Tuned Units"

O.9.3   P. Smyth, JPL
        J. Mellstrom, JPL
       "Fault Diagnosis of Antenna Pointing Systems using 
        Hybrid Neural Network and Signal Processing Techniques"

O.9.4  C. F. Neugebauer, Caltech
        A. Yariv, Caltech		
       " A Parallel Analog CCD/CMOS Neural Network IC with Digital I/O"


BREAK

ORAL 10: SPEECH  & SIGNAL PROCESSING  

O.10.1   K. Church, AT&T Bell Labs 
        "Part of Speech Tagging"  (INVITED TALK)

O.10.2  A. R. Bulsara, Naval Ocean Systems Center
        F. E. Moss, Univ. of Missouri		
        "Single Neuron Dynamics:  Noise-Enhanced Signal Processing"

O.10.3  D. Warland, University of California, Berkeley
        F. Rieke, NEC Research Institute	
        W. Bialek, NEC Research Institute
       "Efficient Coding in Sensory Systems"

O.10.4  J. Platt, Synaptics
        F. Faggin, Synaptics
        "A Network for the Separation of Sources That Are 
        Superimposed And Delayed" 

O.10.5  A. Waibel, CMU
        A. N. Jain, CMU 
        A. E. McNair, CMU 
        J. Tebelskis, CMU 
        A. Hauptmann, CMU
        H. Saito, CMU	
        "JANUS:  Speech-to-Speech Translation Using Connectionist and 
        Non-Connectionist Techniques"





            SPOTLIGHT TALKS  (4 Minute Talks)


SPOTLIGHT I: TEMPORAL PROCESSING

J. Connor, University of Washington
L.E. Atlas, University of Washington
D. Martin, University of Washington
"Advantages of Recurrency and Innovations in Time Series Prediction"

C. Brody, ILMAS, UNAM
"Fast Learning with Predictive Forward Models"

C.G. Atkeson, MIT
"Robot Juggling: A Real-Time Implementation of Learning Based on Locally
Weighted Regression"

SPOTLIGHT II: OCR and VISUAL PROCESSING

G.L. Martin,  MCC & Eastman Kodak
"Centered-Object Integrated Segmentation and Recognition for Visual
Character Recognition"

G.E. Hinton, University of Toronto
C.K.I. Williams, University of Toronto
"Adaptive Elastic Models for Character Recognition"

S. Ahmad, ICSI
"Modelling Visual Attention and Visual Search"

D.Z. Anderson, University of Colorado
C. Benkert, University of Colorado
V. Hebler, University of Colorado
J.S. Jang, University of Colorado
D. D. Montgomery, University of Colorado
M. Saffman, University of Colorado
"Optical Implementation of a self-organizing feature extractor"


SPOTLIGHT III:  APPLICATIONS AND PERFORMANCE COMPARISONS

M.W. Goudreau, NEC Research Institute, Inc.
C.L. Giles, NEC Research Institute, Inc.
"Neural Network Routing for Random Multistage Interconnection Networks"

P. Stolorz, Los Alamos National Laboratory
A. Lapedes, Los Alamos National Laboratory
R. Farber, Los Alamos National Laboratory
D. Wolf, Los Alamos National Laboratory
Y. Xia, Los Alamos National Laboratory
J. Bryngelson, Los Alamos National Laboratory
"Prediction of Protein Structure Using Neural Nets and Information Theory"

P. Kohn, ICSI
J. Bilmes, ICSI
N. Morgan, ICSI
J. Beck, ICSI
"Software for ANN Training on a Ring Array Processor"

J. Bernasconi, Asea Brown Boveri Corp.
K. Gustafson, University of Colorado
"Human and Machine 'Quick Modeling'"

L.G.C. Hamey,  Macquarie University
"Benchmarking feed-forward Neural Networks: models and measures"

SPOTLIGHT IV:  LEARNING & ARCHITECTURES

P. Koistinen, Rolf Nevanlinna Institute
L. Holmstroem, Rolf Nevanlinna Institute
"Kernel Regression and Backpropagation Training With Noise"

K.Y. Siu,  Stanford University
J. Bruck, IBM Research Division
"Neural Computing With Small Weights"

SPOTLIGHT V: NEURAL CONTROL

T. Anastasio,  USC
"Learning In the Vestibular System:  Simulations Of Vestibular
Compensation Using Recurrent Back-Propagation"


P. Dean, University of Sheffield
E.W. Mayhew, University of Sheffield
"A Neural Net Model For Adaptive Control of Saccadic Accuracy By Primate
Cerebellum and Brainstem"


SPOTLIGHT VI: SPEECH

R. Cole, Oregon Graduate Institute of Science and Technology
K. Roginski, Oregon Graduate Institute of Science and Technology
M. Fanty, Oregon Graduate Institute of Science and Technology
"English Alphabet Recognition With Telephone Speech"


Y. Bengio, McGill University
R. DeMori, McGill University
G. Flammia, McGill University
R. Kompe, McGill University
"Global Optimization of Neural Network - Hidden Markov Model Hybrid"


SPOTLIGHT VII: LEARNING AND ARCHITECTURES

J. Bridle, R.S.R.E.
D.J.C. MacKay, Caltech
"Unsupervised Classifiers, Mutual Information And 'Phantom Targets'"

P. Simard, AT&T Bell Laboratories
B. Victorri, Universite de Caen
Y. Le Cun, AT&T Bell Laboratories
John    Denker, AT&T Bell Laboratories
"Tangent Prop - A formalism for specifying selected invariances in 
an adaptive network"

D. Montana, Bolt Beranek and Newman, Inc.
"A weighted probabilistic Neural Net"

T. Lange, University of California
"Dynamically-Adaptive Winner-Take-All Networks"

S. Omohundro, International Computer Science Institute
"Model-Merging for Improved Generalization"