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Giulio Biroli
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Giulio Biroli will create and promote a strong synergetic activity combining physics and machine learning. He will develop a physically based theoretical approach to deep learning and apply machine learning methods to analyse complex dynamics of physical systems. He will organize a reference annual summer school-workshop on machine learning and physics.
Papers234 papers
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PLoS computational biology, no. 5 (2020)
Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel,Levent Sagun, Stéphane d’Ascoli,Giulio Biroli,Clément Hongler,Matthieu Wyart
Journal of Statistical Mechanics: Theory and Experiment, no. 2 (2020): 023401
Biroli Giulio,Charbonneau Patrick,Corwin Eric I., Hu Yi, Ikeda Harukuni, Szamel Grzegorz,Zamponi Francesco
Bulletin of the American Physical Society, (2020)
Physical review. E, no. 1-1 (2020): 010602
Bulletin of the American Physical Society, (2020)
Physical review letters, no. 2 (2020): 028001
Journal of Physics A, no. 17 (2020): 174003
ICML, pp.2280-2290, (2020)
Bulletin of the American Physical Society, (2020)
Bulletin of the American Physical Society, (2020)
Misaki Ozawa,Ludovic Berthier,Giulio Biroli, Alberto Rosso,Gilles Tarjus, Murari Singh, Wei-Ting Yeh,Kunimasa Miyazaki, Takeshi Kawasaki
Bulletin of the American Physical Society, (2020)
Physical Review Research, no. 2 (2020): 023203
Journal of Physics A, no. 37 (2020): 375006
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