research
∙
02/23/2023
SHAPER: Can You Hear the Shape of a Jet?
The identification of interesting substructures within jets is an import...
share
research
∙
01/17/2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
With the vast data-collecting capabilities of current and future high-en...
research
∙
05/10/2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Machine learning offers an exciting opportunity to improve the calibrati...
research
∙
05/10/2021
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
A common setting for scientific inference is the ability to sample from ...
research
∙
01/18/2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
There have been a number of recent proposals to enhance the performance ...
research
∙
11/20/2019
OmniFold: A Method to Simultaneously Unfold All Observables
Collider data must be corrected for detector effects ("unfolded") to be ...
research
∙
10/11/2018
Energy Flow Networks: Deep Sets for Particle Jets
A key question for machine learning approaches in particle physics is ho...
research
∙
01/31/2018
On the Topic of Jets
We introduce jet topics: a framework to identify underlying classes of j...
research
∙
08/09/2017