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PRODID:Linklings LLC
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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 102
DTSTART;TZID=Europe/Stockholm:20260630T144500
DTEND;TZID=Europe/Stockholm:20260630T151500
UID:submissions.pasc-conference.org_PASC26_sess127_msa115@linklings.com
SUMMARY:From Visualization to Knowledge Discovery
DESCRIPTION:Sebastian Trujillo-Gomez and Bernd Doser (Heidelberg Institute
  for Theoretical Studies)\n\nMachine learning–assisted analysis is now wid
 espread in Astrophysics, but its scope is still narrow, mostly focusing on
  regression, classification, and anomaly detection tasks. On the other han
 d, the development of general visualization, exploration, and discovery to
 ols has lagged behind. This session will present newly developed tools tha
 t enable scientific breakthroughs in Astrophysics and Cosmology by discove
 ring unbiased, interpretable representations of data directly from the dat
 a and regardless of its type (e.g. images, spectra, datacubes, point cloud
 s), and origin (i.e. from observations or sophisticated simulations). Thes
 e tools automatically learn low-dimensional representations of complex obj
 ects such as simulated galaxies in multimodal data, and provide interactiv
 e visualization for exploring arbitrarily large datasets. The compact repr
 esentations can be used downstream for model selection, simulation-based i
 nference, hypothesis development, and experiment design. The tools are mod
 ular, easy to use, and require minimal coding experience, broadening acces
 s to complex datasets for both experts and the general public.\n\nDomain: 
 Applied Social Sciences and Humanities, Computational Methods and Applied 
 Mathematics\n\nSession Chairs: Guillaume Houzeaux (Barcelona Supercomputin
 g Center) and Guillermo Marin (Barcelona Supercomputing Center, Universita
 t Autònoma de Barcelona)\n\n
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