04:00
2026-07-28
arxiv.org
machine-learning
SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
Researchers have introduced SeT-Diff, the first foundational model for high-performance computing (HPC) node telemetry and time-series data, achieving a Mean Absolute Error (MAE) of 0.0470 on reconstr…