Poster · Sydney

Learning What's Real: Disentangling Signals and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

Name: Learning What's Real: Disentangling Signals and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
Start: 2026-12-08T10:00:00+11:00
End: 2026-12-08T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Tue 8 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 1
Authors: Pablo Mercader-Perez, Carolina Cuesta Lazaro, Daniel Muthukrishna, Jeroen Audenaert, V Villar, David W Hogg, Marc Huertas-Company, Bill Freeman
Organisations: Massachusetts Institute of Technology, Harvard University, New York University, Instituto de Astrofisica De Canarias, Google
QRS classification: Causal inference, AI for science, Representation and transfer learning

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