Raghav Kansal
Raghav Kansal
Home
Publications
Highlights
All
Presentations
Highlights
All
Projects
Awards
CV
Simulation
ML for Fast Simulations
Leading the effort on several state-of-the-art generative models to accelerate LHC simulations. Developing as well validation and benchmarking schemes in order to bring them into CMS. Published at NeurIPS, PRD, and more.
Fast jet simulations and how to evaluate them
Fast simulations which can accurately model jet substructure are will be of utmost importance for boosted jet analyses at the HL-LHC. …
Aug 1, 2023
Lawrence Berkeley National Lab
Project
Slides
Machine learning for particle physics simulations
Accurate detector simulations are key components of any measurement or search for new physics. Due to their stochastic nature, ML-based …
Jul 24, 2023
Princeton
Project
Slides
Generative transformers and how to evaluate them (+ Lorentz-equivariant networks)
With the increase in luminosity and detector granularity, simulation will be a significant computational challenge in the HL-LHC. To …
Jun 27, 2023
UC Irvine
Project
Project
Project
Slides
Applications of two-sample goodness-of-fit tests to deep generative models
Jun 1, 2023
Virtual
Project
Slides
Video
Evaluation Metrics for FastSim
May 31, 2023
CERN
Project
Slides
Video
Multivariate goodness of fit testing for evaluating HEP generative models
May 31, 2023
Carnegie Mellon
Project
Slides
Multivariate goodness of fit testing for evaluating HEP generative models
May 22, 2023
CERN
Project
Slides
Evaluating generative models in high energy physics
A systematic investigation of evaluation metrics for fast simulations, including two new ones we propose, the Fréchet and kernel physics distances, which we find to be the most sensitive. We also introduce the generative adversarial particle transformer (GAPT) model, which is significantly faster than MPGAN.
Raghav Kansal
,
Anni Li
,
Javier Duarte
,
Nadezda Chernyavskaya
,
Maurizio Pierini
,
Breno Orzari
,
Thiago Tomei
PDF
arXiv
Cite
Code
Project
DOI
Generative transformers and how to evaluate them
With the increase in luminosity and detector granularity, simulation will be a significant computational challenge in the HL-LHC. To …
Feb 14, 2023
CERN
Project
Slides
»
Cite
×