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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:labrador: A domain-optimized machine-learning tool for gravitation
 al wave inference
DTSTART:20260702T143000Z
DTEND:20260702T160000Z
DTSTAMP:20260703T063122Z
UID:c6f3fa23-082d-4bdb-b1fc-d35e21c08c71
SEQUENCE:1
CREATED:20260702T095322Z
DESCRIPTION: Fast and reliable parameter inference is becoming increasingl
 y important for gravitational-wave astronomy\, especially as compact-binar
 y catalogs grow and low-latency multimessenger follow-up becomes\, hopeful
 ly\, more common. In this talk\, I will present labrador\, a domain-optimi
 zed machine-learning framework for gravitational-wave inference based on n
 eural posterior estimation.  
LAST-MODIFIED:20260702T095322Z
LOCATION:DF Seminar Room (2-8.3)\, 2nd floor of Physics Building
URL:http://df.vps.tecnico.ulisboa.pt/en/events/labrador-a-domain-optimized
 -machine-learning-tool-for-gravitational-wave-inference/
X-ALT-DESC;FMTTYPE=text/html:<p data-block-key="khq5l"> Fast and reliable 
 parameter inference is becoming increasingly important for gravitational-w
 ave astronomy\, especially as compact-binary catalogs grow and low-latency
  multimessenger follow-up becomes\, hopefully\, more common. In this talk\
 , I will present labrador\, a domain-optimized machine-learning framework 
 for gravitational-wave inference based on neural posterior estimation.  </
 p>
END:VEVENT
END:VCALENDAR