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sciact [2023/10/08 23:00] – [Reviewing activities] sdesterc | sciact [2024/03/20 15:15] – sdesterc | ||
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== Conference Program committees == | == Conference Program committees == | ||
- | * AISTATS (2019-2023) | + | |
+ | | ||
* AAAI (2018-2022, SPC: 2023-2024) | * AAAI (2018-2022, SPC: 2023-2024) | ||
* NIPS/ | * NIPS/ | ||
* UAI (PC: 2010-2020, SPC: 2021, AC: 2022, 2023) | * UAI (PC: 2010-2020, SPC: 2021, AC: 2022, 2023) | ||
* IJCAI (SPC: 2017-2021, Program Committee Board: 2022-2024 ) | * IJCAI (SPC: 2017-2021, Program Committee Board: 2022-2024 ) | ||
- | * ECML (Journal Track: 2021-2023) | + | * ECML (Journal Track: 2021-2024) |
- | * ICML (2018-2020, 2022, 2023) | + | * ICML (2018-2020, 2022-2024) |
- | * ECAI (2014, | + | * ECAI (2014, |
- | * ICLR (2020-2023) | + | * ICLR (2020-2024) |
* COPA (2023) | * COPA (2023) | ||
* FLAIRS (2018-2022) | * FLAIRS (2018-2022) | ||
* DA2PL (2018, | * DA2PL (2018, | ||
- | * SUM (2018,2020) | + | * SUM (2018,2020, 2024 - Program chair) |
* BELIEF (2012, | * BELIEF (2012, | ||
* ECSQARU (2011, | * ECSQARU (2011, | ||
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* **Violaine Antoine**, Classification and Uncertainty Modelling, Université Clermont Auvergne, 2023 | * **Violaine Antoine**, Classification and Uncertainty Modelling, Université Clermont Auvergne, 2023 | ||
+ | * **Jean-Philippe Poli**, Contributions to Explainable Artificial Intelligence: | ||
+ | * **Georg Schollmeyer**, | ||
Examiner | Examiner | ||
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* **Andrea Campagner**, | * **Andrea Campagner**, | ||
* **Massinissa Hamidi**, Méta-apprentissage guidé par les connaissances du domaine, Université Sorbonne Paris Nord,2022 | * **Massinissa Hamidi**, Méta-apprentissage guidé par les connaissances du domaine, Université Sorbonne Paris Nord,2022 | ||
+ | * **Claire Theobald**, Bayesian Deep Learning for Mining and Analyzing Astronomical Data, Université de Nancy, 2023 | ||
* **Julian Lienen**, Robustifying Machine Learning through Weakening Supervision, | * **Julian Lienen**, Robustifying Machine Learning through Weakening Supervision, | ||
+ | * **Pierre Pomeret-Cocquot**, | ||
+ | * **Nicolas Dewolf**, A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning, Ghent University, 2024 | ||
Examiner | Examiner | ||
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* **Ayyoub Imakhlaf**, Application des diagrammes de décision binaire pour l’analyse des arbres de défaillance cohérents et non cohérents en présence d’incertitudes, | * **Ayyoub Imakhlaf**, Application des diagrammes de décision binaire pour l’analyse des arbres de défaillance cohérents et non cohérents en présence d’incertitudes, | ||
* **Cyprien Gilet**, Discretized minimax classifier for personalized diagnosis in medicine, Université de Nice, 2021 | * **Cyprien Gilet**, Discretized minimax classifier for personalized diagnosis in medicine, Université de Nice, 2021 | ||
+ | * **Charles Vernerey**, Multi-Objective Modeling and Optimisation for Knowledge Discovery, IMT Atlantique, 2023 | ||
== Lecturer selection committee (outside of local university) == | == Lecturer selection committee (outside of local university) == | ||
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* Sorbonne Université (LIP6) | * Sorbonne Université (LIP6) | ||
* Paris-Dauphine (LAMSADE) | * Paris-Dauphine (LAMSADE) | ||
+ | * CentraleSupélec - Université Paris-Saclay (MICS) | ||
== Conference/ | == Conference/ | ||
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* PFIA 2021: IA challenges in reasoning and learning | * PFIA 2021: IA challenges in reasoning and learning | ||
* IJCAI 2022: M-PREF | * IJCAI 2022: M-PREF | ||
- | * ECSQARU 2023: workshop | + | * ECSQARU 2023: workshop on uncertainty meets explainability |
+ | * IPMU 2024 | ||