BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Fundamental Physics from the Late-Time Cosmic Web
DTSTART:20260423T060000Z
DTEND:20260423T071500Z
DTSTAMP:20260519T055400Z
UID:indico-event-17621@indico.global
DESCRIPTION:Speakers: Leander Thiele\n\nGravity transformed the small init
 ial fluctuations into the complex\, non-linear cosmic web. The late-time l
 arge-scale structures contain a wealth of information about fundamental ph
 ysics\, but the statistical inference is difficult. I will introduce two r
 esearch directions to deal with the difficulties. One is simulation-based 
 inference: A machine-learning technique that allows to constrain theory fr
 om data in the absence of an explicit likelihood. After a general introduc
 tion to the technique\, I will argue that multi-fidelity training is a nec
 essary step towards trustworthy results and explain our recent work on it.
  The second direction is constrained information extraction\, exemplified 
 by my recent work on cosmic void finding. I will argue that unconstrained 
 information extraction is unlikely to yield robust constraints. Instead\, 
 guardrails should be provided. I will demonstrate this idea using a graph 
 neural network that is trained with a flow-matching objective to find cosm
 ic voids in sparse galaxy redshift surveys.\n\nhttps://indico.global/event
 /17621/
URL:https://indico.global/event/17621/
END:VEVENT
END:VCALENDAR