14:00
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Introduction to Bites of FM4S
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Gaia Grosso
(IAIFI, MIT)
Raghav Kansal
(California Institute of Technology)
|
14:10
|
Boosting the LHC resonance search program with Sophon
-
Congqiao Li
(Peking University (CN))
|
15:00
|
Anomaly preserving neural embeddings for New Physics discovery at the LHC
-
Kyle Sidney Metzger
(ETH Zurich (CH))
|
15:20
|
Rapid Parameter Estimation for Kilonovae Using Likelihood-Free Inference
-
Malina Desai
|
15:40
|
--- break ---
|
15:50
|
You can observe a lot by just watching (new AI strategies for the LHC and beyond)
-
Philip Coleman Harris
(Massachusetts Inst. of Technology (US))
|
16:40
|
MACK: Mismodeling Addressed with Contrastive Knowledge
-
Dylan Sheldon Rankin
(University of Pennsylvania (US))
|
17:00
|
Product Manifold Machine Learning for Physics
-
Nathaniel Sherlock Woodward
(Massachusetts Inst. of Technology (US))
|