Gilles Wainrib

Publication Activity (10 Years)

Years Active: 2010-2018
Publications (10 Years): 11

Top Topics

Bregman Divergences

Relative Entropy

Top Venues

Neural Networks

Traitement du Signal

Publications

Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
Scaling Up Echo-State Networks With Multiple Light Scattering. SSP (2018)
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors. CoRR (2018)
Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach. CoRR (2018)
Stanislas Chambon, Mathieu Galtier, Pierrick Arnal, Gilles Wainrib, Alexandre Gramfort
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series. CoRR (2017)
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
Training performance of echo state neural networks. SSP (2016)
Gilles Wainrib, Mathieu Galtier
A local Echo State Property through the largest Lyapunov exponent. Neural Networks 76 (2016)
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
Scaling up Echo-State Networks with multiple light scattering. CoRR (2016)
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
The Asymptotic Performance of Linear Echo State Neural Networks. CoRR (2016)
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
The Asymptotic Performance of Linear Echo State Neural Networks. J. Mach. Learn. Res. 17 (2016)
Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi
A Random Matrix Approach to Echo-State Neural Networks. ICML (2016)
Romain Couillet, Gilles Wainrib
Perspectives en matrices aléatoires et grands réseaux. Traitement du Signal 33 (2-3) (2016)
Mathieu Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger
Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes. Neural Networks 56 (2014)
Mathieu Galtier, Gilles Wainrib
A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity. Neural Comput. 25 (11) (2013)
Mathieu Galtier, Gilles Wainrib
A combination of STDP, Hebbian learning and synaptic scaling deriving from a theoretical learning principle CoRR (2012)
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman
Reduction of stochastic conductance-based neuron models with time-scales separation. J. Comput. Neurosci. 32 (2) (2012)
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman
Erratum to: Intrinsic variability of latency to first-spike. Biol. Cybern. 105 (3-4) (2011)
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman
Intrinsic variability of latency to first-spike. Biol. Cybern. 103 (1) (2010)