BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Hyper-parameter’s uncertainty estimation for Machine Learning wi
 th Numerical Stochastic Perturbation Theory
DTSTART;VALUE=DATE-TIME:20211208T100000Z
DTEND;VALUE=DATE-TIME:20211208T110000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16670@indico.ific.uv.es
DESCRIPTION:Speakers: Guilherme Telo ()\nhttps://indico.ific.uv.es/event/6
 375/contributions/16670/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16670/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Signal-agnostic dark matter searches in direct detection data with
  machine learning
DTSTART;VALUE=DATE-TIME:20211129T100000Z
DTEND;VALUE=DATE-TIME:20211129T110000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16669@indico.ific.uv.es
DESCRIPTION:Speakers: Andre Scaffidi ()\nhttps://indico.ific.uv.es/event/6
 375/contributions/16669/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16669/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dark Matter distribution in external galaxies with Machine Learnin
 g.
DTSTART;VALUE=DATE-TIME:20211122T090000Z
DTEND;VALUE=DATE-TIME:20211122T100000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16668@indico.ific.uv.es
DESCRIPTION:Speakers: Martín de Los Ríos ()\nhttps://indico.ific.uv.es/e
 vent/6375/contributions/16668/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16668/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Reconstructing the halo clustering and halo mass function of N-bod
 y simulations using neural simulation-based inference
DTSTART;VALUE=DATE-TIME:20211118T090000Z
DTEND;VALUE=DATE-TIME:20211118T100000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16667@indico.ific.uv.es
DESCRIPTION:Speakers: Androniki Dimitriou ()\nhttps://indico.ific.uv.es/ev
 ent/6375/contributions/16667/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16667/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Machine Learning at galactic and cosmological scales
DTSTART;VALUE=DATE-TIME:20211117T090000Z
DTEND;VALUE=DATE-TIME:20211117T100000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16665@indico.ific.uv.es
DESCRIPTION:Speakers: Pablo Villanueva ()\nMachine learning provides us wi
 th a powerful tool in the fields of cosmology and astrophysics\, allowing 
 us to better understand how matter clusters and is distributed in the univ
 erse. In this talk\, we review some relevant cosmological applications\, f
 ocusing on two different methods. On the one hand\, extracting the matter 
 density field from 21 cm hydrogen maps making use of Convolutional Neural 
 Networks (CNNs). On the other hand\, inferring the total mass of a dark ma
 tter halo from a few properties of its hosted galaxies via Graph Neural Ne
 tworks (GNNs). This provides a novel method to weigh real halos such as th
 e Milky Way and Andromeda.\n\nhttps://indico.ific.uv.es/event/6375/contrib
 utions/16665/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16665/
END:VEVENT
BEGIN:VEVENT
SUMMARY:AI for Art: paintings and music
DTSTART;VALUE=DATE-TIME:20211110T100000Z
DTEND;VALUE=DATE-TIME:20211110T110000Z
DTSTAMP;VALUE=DATE-TIME:20260513T043730Z
UID:indico-contribution-6375-16664@indico.ific.uv.es
DESCRIPTION:Speakers: Johannes Hirn ()\nhttps://indico.ific.uv.es/event/63
 75/contributions/16664/
LOCATION:
URL:https://indico.ific.uv.es/event/6375/contributions/16664/
END:VEVENT
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