Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Galtier, Mathieu N."'
Autor:
Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletari, Fausto, Roth, Holger, Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett, Maier-Hein, Klaus, Ourselin, Sebastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge
Publikováno v:
npj Digital Medicine volume 3, Article number: 119 (2020)
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by M
Externí odkaz:
http://arxiv.org/abs/2003.08119
Autor:
Galtier, Mathieu N, Marini, Camille
Machine learning is promising, but it often needs to process vast amounts of sensitive data which raises concerns about privacy. In this white-paper, we introduce Substra, a distributed framework for privacy-preserving, traceable and collaborative Ma
Externí odkaz:
http://arxiv.org/abs/1910.11567
A method is provided for designing and training noise-driven recurrent neural networks as models of stochastic processes. The method unifies and generalizes two known separate modeling approaches, Echo State Networks (ESN) and Linear Inverse Modeling
Externí odkaz:
http://arxiv.org/abs/1402.1613
We show how a Hopfield network with modifiable recurrent connections undergoing slow Hebbian learning can extract the underlying geometry of an input space. First, we use a slow/fast analysis to derive an averaged system whose dynamics derives from a
Externí odkaz:
http://arxiv.org/abs/1102.0166
Akademický článek
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Autor:
Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::45cf206bd1080afb6999f78f210c332c
https://mediatum.ub.tum.de/1597549
https://mediatum.ub.tum.de/1597549
Autor:
Galtier, Mathieu N.1 m.galtier@jacobs-university.de, Wainrib, Gilles2 wainrib@math.univ-paris13.fr
Publikováno v:
Neural Computation. Nov2013, Vol. 25 Issue 11, p2815-2832. 18p. 1 Diagram, 2 Graphs.
Autor:
Galtier, Mathieu N.1 m.galtier@jacobs-university.de, Touboul, Jonathan2,3 jonathan.touboul@college-de-france.fr
Publikováno v:
PLoS ONE. Nov2013, Vol. 8 Issue 11, p1-11. 11p.
Autor:
Galtier, Mathieu N.1 m.galtier@jacobs-university.de, Faugeras, Olivier D.1 Olivier.Faugeras@inria.fr, Bressloff, Paul C.2 bresloff@math.utah.edu
Publikováno v:
Neural Computation. Sep2012, Vol. 24 Issue 9, p2346-2383. 38p. 3 Diagrams, 6 Graphs.