14 citations · 45 across the 28 of their papers we have counts for
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cs.LG2023
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
Cristiano Fanelli, James Giroux
We introduce a physics-informed Bayesian Neural Network (BNN) with flow approximated posteriors using multiplicative normalizing flows (MNF) for detailed uncertainty quantification…
cs.LG2022
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
C. Fanelli, J. Giroux, Z. Papandreou
Anomaly Detection is becoming increasingly popular within the experimental physics community. At experiments such as the Large Hadron Collider, anomaly detection is at the forefron…