1 citations · 2 across the 3 of their papers we have counts for
3 papers
hep-ex2026★ 1 cited
Wasserstein normalized autoencoder for anomaly detection
CMS Collaboration
A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between…
hep-ex2026
DeepMET: Improving missing transverse momentum estimation with a deep neural network
CMS Collaboration
At hadron colliders, the net transverse momentum of particles that do not interact with the detector (missing transverse momentum, ) is a crucial ob…
hep-ex2025★ 1 cited
Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC
CMS Collaboration
We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towa…