Sacl-AI 4 Science Workshop
de
lundi 8 juillet 2024 (08:00)
à
vendredi 12 juillet 2024 (16:45)
lundi 8 juillet 2024
09:30
Introduction to ML - O. Colliot
Introduction to ML - O. Colliot
09:30 - 12:30
Contributions
09:30
Statistical learning and model validation
-
Olivier Colliot
12:30
Lunch break
Lunch break
12:30 - 14:00
14:00
The scikit-learn API - G. Lemaitre
The scikit-learn API - G. Lemaitre
14:00 - 17:00
Contributions
14:00
The scikit-learn API
-
Guillaume Lemaitre
mardi 9 juillet 2024
09:30
Learning with non-tabular data - T. Moreau
Learning with non-tabular data - T. Moreau
09:30 - 12:30
Contributions
09:30
Learning with non-tabular data
-
Thomas Moreau
(
Inria
)
12:30
Lunch break
Lunch break
12:30 - 14:00
14:00
Intro to deep learning - R. Menegaux
Intro to deep learning - R. Menegaux
14:00 - 17:00
Contributions
14:00
Introduction to deep learning
-
Romain Ménégaux
mercredi 10 juillet 2024
09:30
09:30 - 11:00
Contributions
09:30
Machine Learning for Quantum Simulation
-
Filippo Vicentini
(
École Polytechnique - CPHT
)
10:15
The quantum many-body problem and properties of materials: how to profit from machine learning?
-
Lucia Reining
11:00
Coffee Break
Coffee Break
11:00 - 11:30
11:30
Material & Quantum Physics (II)
Material & Quantum Physics (II)
11:30 - 12:15
Contributions
11:30
Assisting sampling of equilibrium physical states with generative models
-
Marylou Gabrié
(
École Polytechnique
)
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Physics for Machine Learning
Physics for Machine Learning
14:00 - 15:30
Contributions
14:00
Quantum physics for machine learning
-
Danijela Markovic
(
CNRS Thales
)
14:45
Understanding uncertainty in machine learning with tractable models
-
Bruno Loureiro
(
ENS Ulm
)
15:30
Coffee Break
Coffee Break
15:30 - 16:00
16:00
16:00 - 17:00
Contributions
16:00
Designing Molecular RNA Switches with Restricted Boltzmann Machines
-
Jorge FERNANDEZ-DE-COSSIO-DIAZ
(
ENS Paris
)
16:20
Optimising geometric deep learning methods for particle detection challenges in high energy physics experiments.
-
Matthieu Melennec
16:40
Scattering Spectra models for Physics
-
Rudy Morel
(
Flatiron Institute
)
jeudi 11 juillet 2024
09:30
Climate Science (I)
Climate Science (I)
09:30 - 11:00
Contributions
09:30
Using machine learning to parameterize unresolved processes in climate models: a few thoughts on the example of gravity waves
-
Riwal Plougonven
10:15
Radar imaging for earth observation and climate science and the key contribution of machine learning
-
Florence Tupin
(
Telecom Paris
)
11:00
Coffee Break
Coffee Break
11:00 - 11:30
11:30
Climate Science (II)
Climate Science (II)
11:30 - 12:15
Contributions
11:30
TBC
-
Julien Le Sommer
12:15
12:15 - 12:35
Contributions
12:15
Incremental Neural Data Assimilation
-
Matthieu Blanke
(
Inria Paris, DI ENS
)
12:35
Lunch
Lunch
12:35 - 14:00
14:00
14:00 - 15:30
Contributions
14:00
Some AI challenges in astrophysical imaging
-
Jerome Bobin
14:45
Galaxy detection with deep learning in radio-astronomical datasets
-
David Cornu
(
Observatoire de Paris
)
15:30
Coffee Break
Coffee Break
15:30 - 16:00
16:00
16:00 - 16:45
Contributions
16:00
Building new brains for Adaptive Optics on giant optical telescopes.
-
Damien Gratadour
(
Observatoire de Paris
)
17:00
Poster Session
Poster Session
17:00 - 18:30
vendredi 12 juillet 2024
10:15
10:15 - 11:00
Contributions
10:15
Empowering neursocience with AI
-
Bertrand Thirion
(
Inria
)
11:00
Coffee Break
Coffee Break
11:00 - 11:30
11:30
11:30 - 12:15
Contributions
11:30
Exploring language in the brain using Large Language Models
-
Christophe Pallier
(
EMR CNRS 9003 & INSERM-CEA Cognitive Neuroimaging Lab U992
)
12:15
12:15 - 12:35
Contributions
12:15
Large-scale auto-formalization of mathematical theories: why, how, and why now?
-
Fabian Gloeckle
(
Ecole des Ponts ParisTech
)
12:35
Lunch
Lunch
12:35 - 14:00
14:00
14:00 - 15:30
Contributions
14:00
Multi-modal learning for single-cell multi-omics data integration
-
Laura Cantini
(
Institut Pasteur
)
14:45
AI for health: from prediction to prescription
-
Judith Abecassis
(
Inria
)
15:30
Coffee Break
Coffee Break
15:30 - 16:00
16:00
16:00 - 16:45
Contributions
16:00
Natural Language Inference for clinical trials
-
Nona Naderi