-
10:50
Speeding up Analytic Calculations in Theoretical Particle Physics via Machine Learning
-
Matthias Wilhelm
(NBI)
-
11:10
Normalising flows for all-orders QED corrections in lattice field theory
-
Nils Hermansson-Truedsson
(University of Edinburgh)
-
11:30
Next-token-prediction for Arbitrary Particle Physics Tasks
-
Daniel Murnane
(Niels Bohr Institute, University of Copenhagen)
-
11:50
Hyperparameter Transfer: A Recipe for Efficient and Robust Scaling
-
Gage DeZoort
(Princeton University)
-
12:10
Unfolding - Quantification learning for physics applications
-
Lukas Liland
(TU Dortmund)
-
12:15
MultiCWoLa
-
Johann Ioannou-Nikolaides
(NBI)
-
12:20
Performance of the Boosted Decision Tree for $\pi^0$ Reconstruction in KLOE Data
-
Bo Cao
(Department of Physics and Astronomy; Nuclear Physics, Uppsala University)
-
12:25
Enhancing Detector Alignment with Machine Learning
-
Stefan Cretu
(Lund University)