Joseph Rynkiewicz

27 papers B 14C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2022 B conf
Deep networks with ReLU activation functions can be smooth statistical models.
ESANN
Joseph Rynkiewicz
2021 C conf
Differentiability in Quadratic Mean of Deep Networks.
IJCCI
Joseph Rynkiewicz
2019 J jnl
Asymptotic statistics for multilayer perceptron with ReLU hidden units.
Neurocomputing
Joseph Rynkiewicz
2019 B conf
On overfitting of multilayer perceptrons for classification.
ESANN
Joseph Rynkiewicz
2018 B conf
Asymptotic statistics for multilayer perceptron with ReLu hidden units.
ESANN
Joseph Rynkiewicz
2012 J jnl
General bound of overfitting for MLP regression models.
Neurocomputing
Joseph Rynkiewicz
2012 J jnl
Neural Networks for Complex Data
CoRR
Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012 J jnl
Neural Networks for Complex Data.
Künstliche Intell.
Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix
2012 B conf
Quantile regression with multilayer perceptrons.
ESANN
Joseph Rynkiewicz, Solohaja-Faniaha Dimby
2011 J jnl
Asymptotic properties of mixture-of-experts models.
Neurocomputing
Madalina Olteanu, Joseph Rynkiewicz
2011 B conf
General bound of overfitting for MLP regression models.
ESANN
Joseph Rynkiewicz
2010 B conf
Asymptotic properties of mixture-of-experts models.
ESANN
Madalina Olteanu, Joseph Rynkiewicz
2008 — conf
Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models.
ISNN (1)
Joseph Rynkiewicz
2008 J jnl
Estimating the number of components in a mixture of multilayer perceptrons.
Neurocomputing
Madalina Olteanu, Joseph Rynkiewicz
2007 J jnl
A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions.
Environ. Model. Softw.
Alain-Louis Dutot, Joseph Rynkiewicz, Frédy E. Steiner, Julien Rude
2007 B conf
Estimating the Number of Components in a Mixture of Multilayer Perceptrons.
ESANN
Madalina Olteanu, Joseph Rynkiewicz
2006 B conf
Consistent estimation of the architecture of multilayer perceptrons.
ESANN
Joseph Rynkiewicz
2006 J jnl
Efficient estimation of multidimensional regression model using multilayer perceptrons.
Neurocomputing
Joseph Rynkiewicz
2006 J jnl
Self-organizing map algorithm and distortion measure.
Neural Networks
Joseph Rynkiewicz
2005 B conf
Efficient estimation of multidimensional regression model with multilayer perceptron.
ESANN
Joseph Rynkiewicz
2004 B conf
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime.
ESANN
Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz
2003 — conf
Estimation of Multidimensional Regression Model with Multilayer Perceptrons.
IWANN (1)
Joseph Rynkiewicz
2002 B conf
Parametric bootstrap for asymptotic test of contrast difference in neural networks.
ESANN
Riadh Kallel, Joseph Rynkiewicz
2001 B conf
Estimation of Hybrid HMM/MLP models.
ESANN
Joseph Rynkiewicz
2001 J jnl
Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM.
Rev. d'Intelligence Artif.
Joseph Rynkiewicz, Marie Cottrell, Morgan Mangeas, Jian-Feng Yao
2001 B conf
Some known facts about financial data.
ESANN
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
1999 B conf
Hybrid HMM/MLP models for times series prediction.
ESANN
Joseph Rynkiewicz