MEDS Trajectory Evaluation

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: McDermott, Matthew
DOI: 10.5281/zenodo.17536102
Cited by: 0

Abstract

This package contains utilities for converting autoregressive, generated trajectories into probabilistic predictions for arbitrary ACES configuration files and into high-granularity AUROCs across various durations for specific code prediction tasks.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
22 April 2026