Autumn School on Recent Advances in Machine Learning - Sciencesconf.org

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07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00	Arrivals 18:00 - 19:00 (1h) Arrivals Check-in at Paul Lagrange center Dinner 19:30 - 20:30 (1h) Dinner	Breakfast 7:30 - 8:30 (1h) Breakfast Welcome speech 8:45 - 9:45 (1h) Welcome speech The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (1/3) 9:45 - 10:45 (1h) The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (1/3) Conference room Rafael Pinot Coffee break 10:45 - 11:15 (30min) Coffee break TBA (1/3) 11:15 - 12:15 (1h) TBA (1/3) Conference room Adrien Taylor Lunch 12:30 - 13:30 (1h) Lunch Free time 13:30 - 16:30 (3h) Free time TBA 16:30 - 17:00 (30min) TBA Conference room Laetitia Chapel Speed presentation from participants 17:00 - 17:30 (30min) Speed presentation from participants Conference room Break 17:30 - 18:00 (30min) Break CT - Session 1 18:00 - 19:00 (1h) CT - Session 1 Conference room Dinner 19:30 - 20:30 (1h) Dinner	The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (2/3) 8:45 - 9:45 (1h) The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (2/3) Conference room Rafael Pinot TBA (2/3) 9:45 - 10:45 (1h) TBA (2/3) Adrien Taylor Coffee break 10:45 - 11:15 (30min) Coffee break Conformal prediction - from a general introduction towards conditional guarantees (1/3) 11:15 - 12:15 (1h) Conformal prediction - from a general introduction towards conditional guarantees (1/3) Conference room Aymeric Dieuleveut Lunch 12:30 - 13:30 (1h) Lunch Free time 13:30 - 16:30 (3h) Free time CT - Session 2 16:30 - 17:30 (1h) CT - Session 2 Conference room Break 17:30 - 18:00 (30min) Break Optimization bilevel et unrolling 18:00 - 18:30 (30min) Optimization bilevel et unrolling Conference room Thomas Moreau TBA 18:30 - 19:00 (30min) TBA Conference room Mathilde Mougeot Dinner 19:30 - 20:30 (1h) Dinner	The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (3/3) 8:45 - 9:45 (1h) The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (3/3) Conference room Rafael Pinot TBA (3/3) 9:45 - 10:45 (1h) TBA (3/3) Conference room Adrien Taylor Coffee break 10:45 - 11:15 (30min) Coffee break Transport based generative modeling and applications to sampling (1/3) 11:15 - 12:15 (1h) Transport based generative modeling and applications to sampling (1/3) Conference room Marylou Gabrié Lunch 12:30 - 13:30 (1h) Lunch Free time 13:30 - 16:30 (3h) Free time CT - Session 3 16:30 - 17:30 (1h) CT - Session 3 Poster session 17:30 - 19:30 (2h) Poster session Dinner 19:30 - 20:30 (1h) Dinner	Conformal prediction - from a general introduction towards conditional guarantees (2/3) 8:45 - 9:45 (1h) Conformal prediction - from a general introduction towards conditional guarantees (2/3) Conference room Aymeric Dieuleveut Transport based generative modeling and applications to sampling (2/3) 9:45 - 10:45 (1h) Transport based generative modeling and applications to sampling (2/3) Conference room Marylou Gabrié Coffee break 10:45 - 11:15 (30min) Coffee break CT - Session 4 11:15 - 12:15 (1h) CT - Session 4 Conference room Lunch 12:30 - 13:30 (1h) Lunch Free time 13:30 - 16:30 (3h) Free time CT - Session 5 16:30 - 17:30 (1h) CT - Session 5 Conference room Break 17:30 - 18:00 (30min) Break Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data. 18:00 - 18:30 (30min) Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data. Conference room Gabriel Victorino-Cardoso TBA 18:30 - 19:00 (30min) TBA Conference room Aurélien Bellet Dinner 19:30 - 20:30 (1h) Dinner	Conformal prediction - from a general introduction towards conditional guarantees (3/3) 8:45 - 9:45 (1h) Conformal prediction - from a general introduction towards conditional guarantees (3/3) Conference room Aymeric Dieuleveut Transport based generative modeling and applications to sampling (3/3) 9:45 - 10:45 (1h) Transport based generative modeling and applications to sampling (3/3) Conference room Marylou Gabrié Coffee break 10:45 - 11:15 (30min) Coffee break Closing speech 11:15 - 12:15 (1h) Closing speech Organizers

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