1 citations · 1 across the 3 of their papers we have counts for
3 papers
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.CV2023★ 1 cited
T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
James Giroux, Martin Bouchard, Robert Laganiere
Object detection utilizing Frequency Modulated Continous Wave radar is becoming increasingly popular in the field of autonomous systems. Radar does not possess the same drawbacks s…
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…