Deep Learning

Decode the workload: Training deep learning models for efficient compute cluster representation

This paper addresses the challenge of efficiently representing compute cluster workloads using deep learning. We develop models that capture the essential characteristics of …

mohammed-a.-h.

AI4EIC Hackathon: PID with the ePIC dRICH

This paper presents results from the AI4EIC Hackathon, specifically focusing on particle identification (PID) with the ePIC dRICH detector. Machine learning techniques were applied …

fanelli-c.

Uncertainty aware deep learning for particle accelerators

Deep learning models for particle accelerator control and optimization can suffer from overconfidence when deployed to new operating conditions. This paper presents techniques for …

rajput-k.