Gilles Wainrib

19 papers A* 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery.
CoRR
Gilles Wainrib, Barbara Bodinier, Haitem Dakhli, Josep Monserrat, Almudena Espin Perez, Sabrina Carpentier, Roberta Codato, John Klein
2025 J jnl
OwkinZero: Accelerating Biological Discovery with AI.
CoRR
Nathan Bigaud, Vincent Cabeli, Meltem Gürel, Arthur Pignet, John Klein, Gilles Wainrib, Eric Durand
2018 J jnl
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach.
CoRR
Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib
2018 — conf
Scaling Up Echo-State Networks With Multiple Light Scattering.
SSP
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
2018 J jnl
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.
CoRR
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib
2017 J jnl
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.
CoRR
Stanislas Chambon, Mathieu Galtier, Pierrick Arnal, Gilles Wainrib, Alexandre Gramfort
2016 A* conf
A Random Matrix Approach to Echo-State Neural Networks.
ICML
Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi
2016 J jnl
A local Echo State Property through the largest Lyapunov exponent.
Neural Networks
Gilles Wainrib, Mathieu Galtier
2016 J jnl
Perspectives en matrices aléatoires et grands réseaux.
Traitement du Signal
Romain Couillet, Gilles Wainrib
2016 J jnl
Scaling up Echo-State Networks with multiple light scattering.
CoRR
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
2016 J jnl
The Asymptotic Performance of Linear Echo State Neural Networks.
CoRR
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016 J jnl
The Asymptotic Performance of Linear Echo State Neural Networks.
J. Mach. Learn. Res.
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016 — conf
Training performance of echo state neural networks.
SSP
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2014 J jnl
Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes.
Neural Networks
Mathieu Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger
2013 J jnl
A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity.
Neural Comput.
Mathieu Galtier, Gilles Wainrib
2012 J jnl
A combination of STDP, Hebbian learning and synaptic scaling deriving from a theoretical learning principle
CoRR
Mathieu Galtier, Gilles Wainrib
2012 J jnl
Reduction of stochastic conductance-based neuron models with time-scales separation.
J. Comput. Neurosci.
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman
2011 J jnl
Erratum to: Intrinsic variability of latency to first-spike.
Biol. Cybern.
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman
2010 J jnl
Intrinsic variability of latency to first-spike.
Biol. Cybern.
Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman