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cs.LG2026
Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
Amir El-Ghoussani, Michele De Vita, Ronald Naumann +1
Remaining Useful Life (RUL) prediction is essential for industrial predictive maintenance, yet many learning-based approaches rely on extensive feature engineering or large labeled…
cs.LG2026
Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction
Michele De Vita, Julian Wiederer, Vasileios Belagiannis
Trajectory prediction models often fail in real-world automated driving due to distributional shifts between training and test conditions. Such distributional shifts, whether behav…