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Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark

0 upvotes · 5 JUL 2026 · Neerav Gupta

This paper evaluates the robustness of machine learning models used in plasma diagnostics for fusion devices, which are often affected by sensor failures and data corruption. Practitioners caring about the reliability of these models will be interested in the techniques developed here to improve their performance under challenging conditions.

plasma diagnosticstokamak fusionsensor robustnessmachine learningcontinual learningsensor failure