Gilles Wainrib

According to our database, Gilles Wainrib authored at least 15 papers between 2010 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.

Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib

CoRR, 2018

Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach.

Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib

CoRR, 2018

Scaling Up Echo-State Networks With Multiple Light Scattering.

Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.

Stanislas Chambon, Mathieu Galtier, Pierrick Arnal, Gilles Wainrib, Alexandre Gramfort

CoRR, 2017

2016

Perspectives en matrices aléatoires et grands réseaux.

Romain Couillet, Gilles Wainrib

Traitement du Signal, 2016

A local Echo State Property through the largest Lyapunov exponent.

Gilles Wainrib, Mathieu Galtier

Neural Networks, 2016

The Asymptotic Performance of Linear Echo State Neural Networks.

Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali

J. Mach. Learn. Res., 2016

Training performance of echo state neural networks.

Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A Random Matrix Approach to Echo-State Neural Networks.

Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes.

Mathieu Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

Neural Networks, 2014

2013

A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity.

Mathieu Galtier, Gilles Wainrib

Neural Comput., 2013

2012

Reduction of stochastic conductance-based neuron models with time-scales separation.

Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman

J. Comput. Neurosci., 2012

A combination of STDP, Hebbian learning and synaptic scaling deriving from a theoretical learning principle

Mathieu Galtier, Gilles Wainrib

CoRR, 2012

2011

Erratum to: Intrinsic variability of latency to first-spike.

Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman

Biol. Cybern., 2011

2010

Intrinsic variability of latency to first-spike.

Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman

Biol. Cybern., 2010