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Eduardo Dadalto Câmara Gomes
Researcher, Helsing
Joined
May 2021
Names
Eduardo Dadalto Câmara Gomes
(Preferred)
,
Eduardo Dadalto Camara Gomes
,
Eduardo Dadalto
Emails
****@centralesupelec.fr
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@centralesupelec.fr
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
Career & Education History
Researcher
Helsing
(helsing.ai)
2025
–
Present
PhD student
Université Paris-Saclay CNRS CentraleSupélec
(centralesupelec.fr)
2020
–
2024
MS student
Institut Supérieur de l'Aéronautique et de l'Espace
(isae-supaero.fr)
2018
–
2020
Undergrad student
Instituto Tecnológico de Aeronáutica
(ita.br)
2015
–
2020
Advisors, Relations & Conflicts
Coauthor
Maxime Darrin
2023
–
Present
Coauthor
Jackie Cheung
2023
–
Present
Coauthor
Pierre Colombo
2022
–
Present
Coauthor
Nathan Noiry
2022
–
Present
Coauthor
Guillaume Staerman
2022
–
Present
Coauthor
Marco Romanelli
2022
–
Present
Coauthor
Federica Granese
2022
–
Present
PhD Advisor
Pablo Piantanida
2020
–
Present
Coauthor
Pierre Duhamel
2020
–
Present
Coauthor
Meryem Benammar
2020
–
Present
PhD Advisor
Florence Alberge
2020
–
Present
Expertise
rejection option
2022
–
Present
misclassification detection
2021
–
Present
out-of-distribution detection
2020
–
Present
trustworthy AI
2020
–
Present
deep learning
2020
–
Present
Safe AI
2020
–
Present
Publications
Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes
,
Marco Romanelli
UAI 2025 Poster
Readers:
Everyone
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes
,
Florence Alberge
,
Pierre Duhamel
,
Pablo Piantanida
Accepted by TMLR
Readers:
Everyone
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Câmara Gomes
,
Marco Romanelli
,
Georg Pichler
,
Pablo Piantanida
M3L 2023 Poster
Readers:
Everyone
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes
,
Florence Alberge
,
Pierre Duhamel
,
Pablo Piantanida
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Câmara Gomes
,
Marco Romanelli
,
Georg Pichler
,
Pablo Piantanida
ICLR 2024 poster
Readers:
Everyone
A simple Training-Free Method for Rejection Option
Eduardo Dadalto Câmara Gomes
,
Marco Romanelli
,
Federica Granese
,
Pablo Piantanida
22 Sept 2022 (modified: 13 Feb 2023)
ICLR 2023 Conference Withdrawn Submission
Readers:
Everyone
A Functional Perspective on Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes
,
Pierre Colombo
,
Guillaume Staerman
,
Nathan Noiry
,
Pablo Piantanida
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Beyond Mahalanobis Distance for Textual OOD Detection
Pierre Colombo
,
Eduardo Dadalto Câmara Gomes
,
Guillaume Staerman
,
Nathan Noiry
,
Pablo Piantanida
Published: 31 Oct 2022, Last Modified: 13 Oct 2022
NeurIPS 2022 Accept
Readers:
Everyone
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes
,
Florence Alberge
,
Pierre Duhamel
,
Pablo Piantanida
2022 (modified: 17 Nov 2022)
ICLR 2022
Readers:
Everyone
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
,
Florence Alberge
,
Pierre Duhamel
,
Pablo Piantanida
Published: 02 Dec 2021, Last Modified: 04 May 2025
NeurIPS 2021 Workshop DistShift Poster
Readers:
Everyone
View all 12 publications
Co-Authors
Federica Granese
Florence Alberge
Georg Pichler
Guillaume Staerman
Marco Romanelli
Meryem Benammar
Nathan Noiry
Pablo Piantanida
Pierre Colombo
Pierre Duhamel