Program of the NeuroCOLT Workshop May 2000 in Graz (Austria)

[Wolfgang Maass]

Program of the NeuroCOLT Workshop
       
         NEW PERSPECTIVES IN THE THEORY OF NEURAL NETS 
     
                  May 3 to 5 , 2000

        at Schloss St. Martin in Graz (Austria).

Organizer:  Wolfgang Maass,   Graz University of Technology

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Wednesday, May 3

morning: 

Shai Ben-David, Israel: An Efficient Agnostic Learning Algorithm for
Half-Spaces

Michael Schmitt, Germany:  On the Complexity of Computing and Learning
with Multiplicative Neural Networks

Pekka Orponen, Finland: Some new results on the computational properties
of analog recurrent neural networks

Georg Dorffner, Austria:  Recurrent neural networks and symbolic
dynamics

afternoon:

Juergen Schmidhuber, CH: Long Short-Term Memory and Context Sensitive 
Languages

Volker Tresp, Germany: The Generalized Bayesian Committee Machine

Nicol N.Schraudolph, CH: Stochastic Meta-Descent

Ron Meir, Israel: Localized Boosting Algorithms and Weak Learning 

Klaus Obermeyer, Germany: TBA

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Thursday, May 4

morning:

Rodney Douglas, CH: Transposing cortical processing into neuromorphic 
analog VLSI circuits

Wolfgang Maass/Robert Legenstein, Austria: Foundations of a Circuit
Complexity Theory for Sensory Processing  

Georg Schnitger, Germany: Neural Circuits for Elementary Vision 
Problems

Andreas Herz, Germany: Neural representation of acoustic communication 
signals

afternoon:

Wulfram Gerstner, CH: Spike-time Dependent Hebbian Learning

Thomas Natschlaeger, Austria: Dynamic Synapses as Nonlinear Filters

Peter Koenig, CH: Learning and synchronization 

(at 4pm we leave for the opening of the exhibition gr2000az in 
Schloss Eggenberg, see http://www.comm.gr2000az.at/ )
--------------------------------------------------- 
Friday, May 5

morning:

Bob Williamson, Australia:  Margins, Sparsity and Perceptrons

Bernhard Schoelkopf, GB: Kernels: Similarities and Dissimilarities

Chris Bishop, GB: The Variational Relevance Vector Machine

John Shawe-Taylor, GB: Bounds Combining Sparsity and Margins

afternoon:

Helene Paugam-Moisy, France:  Multiclass discrimination, SVM, and
multimodal learning

Manfred Opper, GB: The TAP Mean Field approach for probabilistic models

Martin Anthony, GB: Some Results on Cross-Validation

Bhaskar Das Gupta, USA:  On Approximate Learning by Multi-layered
Feedforward Circuits 

Pascal Koiran, France: The stability of saturated linear dynamical
systems is undecidable

Zoubin Ghahramani, GB: Bayesian Learning of Model Structure 

(evening: discussion of the future of research on neural
nets in Europe, including meetings and funding options)

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POSTERS:

Nello Cristianini, Harald Burgsteiner (A Learning Algorithm for
Winner-Take-All Circuits), Jyrki Kivinen, Robert Legenstein (Circuit
Complexity Theory for Sensory Processing),
Gabor Lugosi, Bojan Novak (Conditions and Requirements for an Efficient
Parallel Implementation of Various Learning Algorithms), Laurent
Perrinet (Networks of Integrate-and-Fire Neuron using Rank Order Coding:
How to implement Hebbian Learning), Jiri Sima, Eva Volna (Optimal Neural
Network Topology for Real Problem of Pattern Recognition).

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ABSTRACTS, REGISTRATION AND TRAVEL INFORMATION:

http://www.tu-graz.ac.at/igi/maass/nn2000/

A few slots are still open for registration; 
for lodging see http://www.graztourism.at/