-
14:00
Allucinating molecular cloud emission with Neural nets
-
Giuseppe Puglisi
(UniCT)
-
14:15
Deep learning of 87A-like supernovae progenitor characteristics: training the Inception model on synthetic data
-
Giuseppe Puglisi
(UniCT)
-
14:30
Graph neural network for track reconstruction in space experiments
-
Federica Cuna
(INFN)
-
14:45
Map-level Emulation of CMB experimental systematics
-
Paolo Campeti
(INFN)
-
15:00
Generative adversarial neural network for cosmic rays background simulations
-
Giovanni Cavallotto
(INFN)
-
15:15
"Chemical tagging of field RR Lyrae to constrain the early formation and evolution of the Milky Way"
-
Karina Baeza Villagra
(UniTOV)
-
15:30
Optimal compression and Simulation-Based Inference of the cosmic 21-cm signal
-
David Prelogovic
(SNS)
-
15:45
The Euclid survey: Improving cosmological constraints via BAO reconstruction
-
Elena Sarpa
(SISSA)
