Over the last decade, machine learning techniques have been widely adopted by various domains in particle physics. I will discuss using such ML algorithms and simulations in particle physics analysis and the challenges they present. Then, I will introduce a new approach I have been working on, explaining how I built an ML-based pipeline to generate faster simulations in reduced dimensions.

Talk Materials & Slides

Open PDF in new tab

Session Gallery

Slide 1
Slide 2
Slide 3
Slide 4
Slide 5
1 / 5
Tags:
  • #ML
  • #PARTICLE_PHY
  • #HEP
  • #SIMULATION
  • #EXPERIMENT