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4:45 PM
SNAD: enabling discovery in the era of big data
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Maria Pruzhinskaya
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5:00 PM
DE-VAE: a representation learning architecture for a dynamic dark energy model
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Davide Piras
(University of Geneva)
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5:15 PM
A Bayesian Neural Network based ILC method to estimate accurate CMB polarization power spectrum over large angular scales
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Sarvesh Kumar Yadav
(Raman Research Institute, Banglore, India)
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5:18 PM
Multiview Symbolic Regression in astronomy
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Etienne Russeil
(Laboratoire de Physique de Clermont (LPC))
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5:21 PM
Machine learning for new physics
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Agnès Ferté
(SLAC/Stanford U)
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5:36 PM
Toward automated discovery of analytical physical laws from data using deep reinforcement learning
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Wassim TENACHI
(Observatoire Astronomique de Strasbourg)
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5:51 PM
Latent space out-of-distribution detection of galaxies for deblending in weak lensing surveys
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Jelle Mes
(Leiden Observatory, Leiden University, The Netherlands)
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5:54 PM
Fishnets: Mapping Information Geometry with Robust, Scalable Neural Compression
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Benjamin Wandelt
(Institut d'Astrophysique de Paris / The Flatiron Institute)
Lucas Makinen
(Imperial College London)
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5:57 PM
Extracting physical rules from ensemble machine learning for the selection of radio AGN.
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Rodrigo Carvajal
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6:00 PM
Opportunities and challenges of machine learning for astrophysics
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Jason McEwen
(UCL)
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6:03 PM
The terms Eisenstein and Hu missed
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Deaglan Bartlett
(Institut d'Astrophysique de Paris)
