ML at Aussois : Autumn School on Recent Advances in Machine Learning
16-21 Nov 2025 Aussois (France)
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Planning
Week
Sun. 16
Mon. 17
Tue. 18
Wed. 19
Thu. 20
Fri. 21
List
Sun. 16
Mon. 17
Tue. 18
Wed. 19
Thu. 20
Fri. 21
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
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