-
Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))27/02/2026, 10:00
-
27/02/2026, 10:30
-
Kylian Schmidt (KIT - Karlsruhe Institute of Technology (DE)), Levi Evans (Deutsches Elektronen-Synchrotron (DE))27/02/2026, 10:40
Neural Simulation Based Inference is a fast-moving field with many ongoing efforts to share these promising methods with the wider HEP community. Whilst the specific NSBI methods that will eventually find adoption in actual analyses are not yet known, it is clear that most approaches face a set of common challenges. Foremost, the reliance on many large neural networks that train on large...
Go to contribution page -
27/02/2026, 11:05
-
Jingjing Pan (KIT - Karlsruhe Institute of Technology (DE))27/02/2026, 11:15
We are exploring the application of the IRIS-HEP Simulation-Based Inference (SBI) toolkit to precision Higgs measurements. In this talk, we discuss methodological developments aimed at improving robustness and of SBI workflows in realistic LHC settings.
On the tooling side, we explore physics-informed inductive biases in neural architectures, energy-conserving optimization schemes as...
Go to contribution page -
27/02/2026, 11:35
Choose timezone
Your profile timezone: