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pro vyhledávání: '"Lafage, Adrien"'
Accurate trajectory forecasting is crucial for the performance of various systems, such as advanced driver-assistance systems and self-driving vehicles. These forecasts allow to anticipate events leading to collisions and, therefore, to mitigate them
Externí odkaz:
http://arxiv.org/abs/2403.17678
Autor:
Laurent, Olivier, Lafage, Adrien, Tartaglione, Enzo, Daniel, Geoffrey, Martinez, Jean-Marc, Bursuc, Andrei, Franchi, Gianni
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. However, hardware limitations of real-world systems constrain to
Externí odkaz:
http://arxiv.org/abs/2210.09184
Publikováno v:
In Machine Learning with Applications 15 March 2023 11
Autor:
Laurent, Olivier, Lafage, Adrien, Tartaglione, Enzo, Daniel, Geoffrey, Martinez, Jean-Marc, Bursuc, Andrei, Franchi, Gianni
Publikováno v:
International Conference on Learning Representations
International Conference on Learning Representations, May 2023, Kigali, France
International Conference on Learning Representations, May 2023, Kigali, France
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. However, hardware limitations of real-world systems constrain to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96d09878cada171436d791e9206fe10
https://hal.science/hal-04042523
https://hal.science/hal-04042523