Search Results for author: Adrien Lafage

Found 2 papers, 1 papers with code

Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting

no code implementations26 Mar 2024 Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat

Accurate trajectory forecasting is crucial for the performance of various systems, such as advanced driver-assistance systems and self-driving vehicles.

Motion Forecasting Trajectory Forecasting +1

Packed-Ensembles for Efficient Uncertainty Estimation

1 code implementation17 Oct 2022 Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi

Deep Ensembles (DE) are a prominent approach for achieving excellent performance on key metrics such as accuracy, calibration, uncertainty estimation, and out-of-distribution detection.

Classifier calibration Image Classification +2

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