Uncertainties in ML for HEP

• Michael Kagan (SLAC National Accelerator Laboratory (US))

Room: 222/R-001

Systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

• Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))

Room: 222/R-001

Fair Universe HiggML uncertainty competition overview and results.

• Wahid Bhimji (Lawrence Berkeley National Lab. (US))
• David Rousseau (IJCLab-Orsay)

Room: 222/R-001

Bronze medal talk : HZUME

• Hashizume Yota (Kyoto University)

Room: 222/R-001

Gold medal tie talk - HEPHY: Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties

• Robert Schoefbeck (Austrian Academy of Sciences (AT))

Room: 222/R-001

Gold medal tie talk - IBRAHIME: Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation

• Ibrahim Elsharkawy (University of Illinois Urbana-Champaign)

Room: 222/R-001

Fair Universe outlook : permanent release and cosmology weak-lensing challenge

• Wahid Bhimji (Lawrence Berkeley National Lab. (US))
• David Rousseau (IJCLab-Orsay)

Room: 222/R-001