Neural Simulation-Based Inference by Elham E Khoda and Aishik Ghosh

Explore neural simulation-based inference techniques in this comprehensive lecture from the Statistical Methods and Machine Learning in High Energy Physics program. Delve into advanced topics presented by Elham E Khoda and Aishik Ghosh from the International Centre for Theoretical Sciences. Gain insights into cutting-edge methods for analyzing large-scale data in high energy physics research, with a focus on machine learning applications. Learn how these techniques can be applied to process petabytes of data from experiments like the Large Hadron Collider, aiding in the search for new physics and precise measurements of particle properties. Suitable for PhD students, postdoctoral researchers, and professionals in theoretical or experimental particle physics and astro-particle physics with programming experience and knowledge of event simulation tools.