3 papers
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…
cs.CV2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
Michele De Vita, Vasileios Belagiannis
Despite the remarkable progress in generative modelling, current diffusion models lack a quantitative approach to assess image quality. To address this limitation, we propose to es…