research
∙
09/12/2023
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation
Many components of data analysis in high energy physics and beyond requi...
share
research
∙
08/22/2023
SuperCalo: Calorimeter shower super-resolution
Calorimeter shower simulation is a major bottleneck in the Large Hadron ...
research
∙
07/13/2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Building on the success of PC-JeDi we introduce PC-Droid, a substantiall...
research
∙
07/11/2023
Decorrelation using Optimal Transport
Being able to decorrelate a feature space from protected attributes is a...
research
∙
07/05/2023
ν^2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
In this work we introduce ν^2-Flows, an extension of the ν-Flows method ...
research
∙
05/08/2023
CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation
Model independent techniques for constructing background data templates ...
research
∙
04/28/2023
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting
We present an alternative to reweighting techniques for modifying distri...
research
∙
03/24/2023
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks
We present a new approach, the Topograph, which reconstructs underlying ...
research
∙
03/09/2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
In this paper, we present a new method to efficiently generate jets in H...
research
∙
11/04/2022