ML at Aussois : Autumn School on Recent Advances in Machine Learning
16-21 Nov 2025 Aussois (France)
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Sun. 16
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Thursday, November 20, 2025
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
›8:45 (1h)
Conformal prediction - from a general introduction towards conditional guarantees (2/3)
Aymeric Dieuleveut
› Conference room
8:45 - 9:45 (1h)
Conformal prediction - from a general introduction towards conditional guarantees (2/3)
Conference room
Aymeric Dieuleveut
›9:45 (1h)
Transport based generative modeling and applications to sampling (2/3)
Marylou Gabrié
› Conference room
9:45 - 10:45 (1h)
Transport based generative modeling and applications to sampling (2/3)
Conference room
Marylou Gabrié
›10:45 (30min)
Coffee break
10:45 - 11:15 (30min)
Coffee break
›11:15 (1h)
CT - Session 4
› Conference room
11:15 - 12:15 (1h)
CT - Session 4
Conference room
›12:30 (1h)
Lunch
12:30 - 13:30 (1h)
Lunch
›13:30 (2h30)
Free time
13:30 - 16:00 (2h30)
Free time
›16:00 (1h)
CT - Session 5
› Conference room
16:00 - 17:00 (1h)
CT - Session 5
Conference room
›17:00 (30min)
Break
17:00 - 17:30 (30min)
Break
›17:30 (45min)
Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data.
Gabriel Victorino-Cardoso
› Conference room
17:30 - 18:15 (45min)
Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data.
Conference room
Gabriel Victorino-Cardoso
›18:15 (45min)
TBA
Aurélien Bellet
› Conference room
18:15 - 19:00 (45min)
TBA
Conference room
Aurélien Bellet
›19:30 (1h)
Dinner
19:30 - 20:30 (1h)
Dinner
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