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10:00
Nested samplers - review
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Danny Laghi
(CNES, L2I Toulouse, CNRS/IN2P3, UT3)
-
10:30
Deep learning and GW
-
Eric Chassande-Mottin
(CNRS AstroParticule et Cosmologie)
-
11:00
Normalising flows - review
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Konstantin Leyde
(APC Université Paris Cité)
-
11:30
Likelihood and Parameter estimation acceleration
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Sylvain Marsat
(L2I Toulouse, CNRS/IN2P3, UT3)
-
11:50
Bayesian Inference for LISA Data Analysis
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Quentin Baghi
(CEA Saclay)
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12:10
Machine Learning for matched filtering acceleration
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Sebastien Viret
(IPN Lyon)