-
14:00
MCMC parameter estimation methods for LISA massive black holes
-
Sylvain Marsat
(L2I Toulouse, CNRS/IN2P3, UT3)
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14:30
Importance nested sampling with nessai for gravitational-wave inference
-
Michael Williams
(University of Glasgow)
-
14:45
Massive Black Hole Binary parameter estimation using Masked Autoregressive Flows
-
Ivan Martin Vilchez
(Institute of Space Science (ICE, CSIC and IEEC))
-
15:00
Learning-based models for gravitational wave analysis
-
Elie Leroy
(DRF-IRFU)
-
15:15
LISA Data Analysis - A Deep Learning Approach
-
Florentina-Crenguta Pislan
(Institute of Space Science, Faculty of Physics)
-
16:00
Characterizing Anisotropic Stochastic Gravitational Wave Backgrounds and Foregrounds with the Bayesian LISA Pipeline (BLIP)
-
Alexander Criswell
(University of Minnesota)
-
16:15
Searching for primordial features with LISA
-
Jacopo Fumagalli
(IAP)
-
16:30
Detecting Gravitational Waves from Cosmic Strings with LISA
-
Namitha Suresh
(Cornell University)
-
16:45
Bayesian inference methods in cosmology with LISA standard sirens
-
Danny Laghi
(CNES, L2I Toulouse, CNRS/IN2P3, UT3)
-
17:00
Modified Gravity Forecasting with Large Scale Structure in the LISA era, including a Machine Learning analysis
-
Alexander Bonilla Rivera
(UFJF)
-
17:15
Merger-ringdown test -- A novel test of GR using a machine learning implementation
-
Swetha Bhagwat
(University of Birmingham)
-
17:30
On the edge of quantum black holes
-
Jahed Abedi
(University of Stavanger)
-
17:45
Determining the Individual Masses of Accreting White Dwarf Binaries
-
Sophia Yi
(University of Virginia)
