Mathieu Galtier

15 papers A* 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2022	J	`jnl`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
2018	J	`jnl`	Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity. J. Comput. Neurosci. Tomasz Górski, Romain Veltz, Mathieu Galtier, Hélissande Fragnaud, Jennifer S. Goldman, Bartosz Telenczuk, Alain Destexhe
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
2017	J	`jnl`	Morpheo: Traceable Machine Learning on Hidden data. CoRR Mathieu Galtier, Camille Marini
2016	J	`jnl`	A local Echo State Property through the largest Lyapunov exponent. Neural Networks Gilles Wainrib, Mathieu Galtier
2016	J	`jnl`	Slow feature analysis with spiking neurons and its application to audio stimuli. J. Comput. Neurosci. Guillaume Bellec, Mathieu Galtier, Romain Brette, Pierre Yger
2015	J	`jnl`	Ideomotor feedback control in a recurrent neural network. Biol. Cybern. Mathieu Galtier
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`	Hebbian Learning of Recurrent Connections: A Geometrical Perspective. Neural Comput. Mathieu Galtier, Olivier D. Faugeras, Paul C. Bressloff
2011	—	`—`	A mathematical approach to unsupervised learning in recurrent neural networks. (Une approche mathématique de l'apprentissage non-supervisé dans les réseaux de neurones récurrents). Mathieu Galtier