| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy |
An Introduction to Deep Learning.  |
ESANN  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ludovic Arnold, Hélène Paugam-Moisy, Michèle Sebag |
Unsupervised Layer-Wise Model Selection in Deep Neural Networks. |
ECAI |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Anthony Mouraud, Alain Guillaume, Hélène Paugam-Moisy |
The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. |
ICANN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag |
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Régis Martinez, Hélène Paugam-Moisy |
Algorithms for Structural and Dynamical Polychronous Groups Detection. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Hélène Paugam-Moisy, Régis Martinez, Samy Bengio |
Delay learning and polychronization for reservoir computing. |
Neurocomputing |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | David Meunier, Hélène Paugam-Moisy |
Neural networks for computational neuroscience. |
ESANN |
2008 |
DBLP BibTeX RDF |
|
| 1 | Hélène Paugam-Moisy, Régis Martinez, Samy Bengio |
A supervised learning approach based on STDP and polychronization in spiking neuron networks. |
ESANN |
2007 |
DBLP BibTeX RDF |
|
| 1 | Anthony Mouraud, Hélène Paugam-Moisy |
Learning and discrimination through STDP in a top-down modulated associative memory |
CoRR |
2006 |
DBLP BibTeX RDF |
|
| 1 | David Meunier, Hélène Paugam-Moisy |
Cluster detection algorithm in neural networks. |
ESANN |
2006 |
DBLP BibTeX RDF |
|
| 1 | Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy |
Saliency extraction with a distributed spiking neural network. |
ESANN |
2006 |
DBLP BibTeX RDF |
|
| 1 | Anthony Mouraud, Hélène Paugam-Moisy |
Learning and discrimination through STDP in a top-down modulated associative memory. |
ESANN |
2006 |
DBLP BibTeX RDF |
|
| 1 | Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat |
A Distributed and Multithreaded Neural Event Driven Simulation Framework. |
Parallel and Distributed Computing and Networks |
2006 |
DBLP BibTeX RDF |
|
| 1 | Anthony Mouraud, Didier Puzenat, Hélène Paugam-Moisy |
DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework |
CoRR |
2005 |
DBLP BibTeX RDF |
|
| 1 | David Meunier, Hélène Paugam-Moisy |
Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels. |
Revue d'Intelligence Artificielle |
2005 |
DBLP BibTeX RDF |
|
| 1 | Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître |
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. |
Parallel and Distributed Computing and Networks |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi |
Combining protein secondary structure prediction models with ensemble methods of optimal complexity. |
Neurocomputing |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | David Meunier, Hélène Paugam-Moisy |
A "spiking" bidirectional associative memory for modeling intermodal priming. |
Neural Networks and Computational Intelligence |
2004 |
DBLP BibTeX RDF |
|
| 1 | Pablo A. Estévez, Hélène Paugam-Moisy, Didier Puzenat, Manuel Ugarte |
A scalable parallel algorithm for training a hierarchical mixture of neural experts. |
Parallel Computing |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué |
Neural networks for modelling memory : case studies. |
ESANN |
2002 |
DBLP BibTeX RDF |
|
| 1 | Olivier Teytaud, Hélène Paugam-Moisy |
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. |
ICANN |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur |
Generalization Performance of Multiclass Discriminant Models. |
IJCNN |
2000 |
DBLP DOI BibTeX RDF |
Multiclass Margin, Neural Networks, Discrimination, Generalization Error, Statistical Learning Theory, Covering Numbers |
| 1 | Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy |
A New Multi-Class SVM Based on a Uniform Convergence Result. |
IJCNN |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | André Elisseeff, Hélène Paugam-Moisy |
JNN, a randomized algorithm for training multilayer networks in polynomial time. |
Neurocomputing |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat |
Priming an Artificial Associative Memory. |
IWANN |
1999 |
DBLP DOI BibTeX RDF |
Cascaded processing, Artificial neural networks, Associative memory, Connectionism, Priming |
| 1 | Claire Kenyon, Hélène Paugam-Moisy |
Multilayer Neural Networks and Polyhedral Dichotomies. |
Ann. Math. Artif. Intell. |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | V. Demian, Frederic Desprez, Hélène Paugam-Moisy, Makan Pourzandi |
Parallel Implementation of RBF Neural Networks. |
Euro-Par, Vol. II |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | André Elisseeff, Hélène Paugam-Moisy |
Size of Multilayer Networks for Exact Learning: Analytic Approach. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Graham Brightwell, Claire Kenyon, Hélène Paugam-Moisy |
Multilayer Neural Networks: One or Two Hidden Layers? |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Bernard Girau, Hélène Paugam-Moisy |
Load sharing in the training set partition algorithm for parallel neural learning. (PDF / PS) |
IPPS |
1995 |
DBLP DOI BibTeX RDF |
training set partition algorithm, parallel neural learning, parallel back-propagation algorithm, heterogeneous load sharing, parallel learning, parallel algorithms, resource allocation, backpropagation, algebraic models |
| 1 | Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy |
Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons. |
J. Complexity |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat |
A Incremental Neural Classifier on a MIMD Parallel Computer. |
Applications in Parallel and Distributed Computing |
1994 |
DBLP BibTeX RDF |
|
| 1 | D. Girard, Hélène Paugam-Moisy |
Strategies of Weight Updating for Parallel Back-propagation. |
Applications in Parallel and Distributed Computing |
1994 |
DBLP BibTeX RDF |
|
| 1 | Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy |
Complexity Issues in Neural Network Computations. |
LATIN |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Hélène Paugam-Moisy |
Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm. |
CONPAR |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | S. Amghar, Hélène Paugam-Moisy, J. P. Royet |
Learning Methods for Odor Recognition Modeling. |
IPMU |
1992 |
DBLP DOI BibTeX RDF |
|
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