Spring College in the Physics of Complex Systems | (smr 4207) (16 February 2026

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Displaying 43 contributions out of 43

A statistical physics perspective on the theory of machine learning - session 1

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A statistical physics perspective on the theory of machine learning - session 2

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A statistical physics perspective on the theory of machine learning - session 3

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A statistical physics perspective on the theory of machine learning - session 4

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A statistical physics perspective on the theory of machine learning - session 5

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A statistical physics perspective on the theory of machine learning - session 6

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A statistical physics perspective on the theory of machine learning - session 7

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A statistical physics perspective on the theory of machine learning - session 8

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A statistical physics perspective on the theory of machine learning - session 9

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Exam

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From Statistical Physics to Data-Driven modelling in Biology - session 1

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From Statistical Physics to Data-Driven modelling in Biology - session 2

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From Statistical Physics to Data-Driven modelling in Biology - session 3

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From Statistical Physics to Data-Driven modelling in Biology - session 4

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From Statistical Physics to Data-Driven modelling in Biology - session 5

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From Statistical Physics to Data-Driven modelling in Biology - session 6

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From Statistical Physics to Data-Driven modelling in Biology - session 7

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From Statistical Physics to Data-Driven modelling in Biology - session 8

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From Statistical Physics to Data-Driven modelling in Biology - session 9

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Opening

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Poster session

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- Booklet_poster_abstracts.pdf

Poster session

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- Booklet_poster_abstracts.pdf

Recurrent neural networks in neuroscience - session 1

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Recurrent neural networks in neuroscience - session 2

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Recurrent neural networks in neuroscience - session 3

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Recurrent neural networks in neuroscience - session 4

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Recurrent neural networks in neuroscience - session 5

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Recurrent neural networks in neuroscience - session 6

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Recurrent neural networks in neuroscience - session 7

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Recurrent neural networks in neuroscience - session 8

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Recurrent neural networks in neuroscience - session 9

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Stochastic Thermodynamics: from theory to experiments - session 1

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Stochastic Thermodynamics: from theory to experiments - session 2

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Stochastic Thermodynamics: from theory to experiments - session 3

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Stochastic Thermodynamics: from theory to experiments - session 4

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Stochastic Thermodynamics: from theory to experiments - session 5

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Stochastic Thermodynamics: from theory to experiments - session 6

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Stochastic Thermodynamics: from theory to experiments - session 7

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Stochastic Thermodynamics: from theory to experiments - session 8

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Stochastic Thermodynamics: from theory to experiments - session 9

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Organizers

Jacopo Grilli (ICTP), Matteo Marsili (ICTP), Angelo Rosa (SISSA), Local Organiser: Matteo Marsili (ICTP)

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