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Geoffrey Daniel
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 5
Top Topics
Weakly Supervised
Deep Learning
Polynomial Regression
Dempster Shafer
Top Venues
CoRR
Eng. Appl. Artif. Intell.
ICLR
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Publications
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Geoffrey Daniel
,
Mohamed Bahi Yahiaoui
,
Claude Comtat
,
Sebastien Jan
,
Olga Kochebina
,
Jean-Marc Martinez
,
Viktoriya Sergeyeva
,
Viatcheslav Sharyy
,
Chi-Hsun Sung
,
Dominique Yvon
Deep learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors.
Eng. Appl. Artif. Intell.
131 (2024)
Han Wang
,
Eiji Kawasaki
,
Guillaume Damblin
,
Geoffrey Daniel
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement.
CoRR
(2024)
Geoffrey Daniel
,
Mohamed Bahi Yahiaoui
,
Claude Comtat
,
Sebastien Jan
,
Olga Kochebina
,
Jean-Marc Martinez
,
Viktoriya Sergeyeva
,
Viatcheslav Sharyy
,
Chi-Hsun Sung
,
Dominique Yvon
Deep Learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors.
CoRR
(2023)
Olivier Laurent
,
Adrien Lafage
,
Enzo Tartaglione
,
Geoffrey Daniel
,
Jean-Marc Martinez
,
Andrei Bursuc
,
Gianni Franchi
Packed Ensembles for efficient uncertainty estimation.
ICLR
(2023)
Olivier Laurent
,
Adrien Lafage
,
Enzo Tartaglione
,
Geoffrey Daniel
,
Jean-Marc Martinez
,
Andrei Bursuc
,
Gianni Franchi
Packed-Ensembles for Efficient Uncertainty Estimation.
CoRR
(2022)