Cecilia Tosciri
(University of Chicago)
16/06/2025, 16:24
Plenary Talk - AD for Instrumentation
Recent efforts in high energy physics have explored a variety of machine learning approaches for detecting anomalies in collision data. While most are designed for offline analysis, applications at the trigger level are emerging. In this work, we introduce a novel framework for autonomous triggering that not only detects anomalous patterns directly at the trigger level but also determines how...
