5 citations · 5 across the 2 of their papers we have counts for
2 papers
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.LG2021★ 5 cited
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi, Samuele Papa, Michele De Vita +3
The idea behind object-centric representation learning is that natural scenes can better be modeled as compositions of objects and their relations as opposed to distributed represe…