Monsieur Grigor BEZIRGANYAN / PhD

Researcher within an academic field *Researcher within a company, R&D in the private sector*

Contact details

Jobs

Research : NON

Techniques

Python, SQL, C++, Java, Bash, Linux, PyTorch

PhD

Title : Informatique

First registration date : 13 September 2022 / 3A

Doctoral school : Mathématiques et Informatique de Marseille

Thesis defense date : 4 November 2025

Subject : Apprentissage profond multimodal sensible à l'incertitude : Nouvelles architectures et stratégies de fusion pour la classification

Thesis supervisor : FOURNIER Sébastien

Thesis co-supervisor : SELLAMI SANA

Research unit : Laboratoire d'Informatique et des Systèmes

Master's degree

Title : Master of Science

September 2022 - Université technique de Munich

Publications

  • EM-SEC: Efficient Multi-head Set-valued Evidential Classification
    ECML-PKDD, 2025
    Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
    https://ecmlpkdd-storage.s3.eu-central-1.amazonaws.com/preprints/2025/research/preprint_ecml_pkdd_2025_research_1097.pdf
  • LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
    SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
    Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
    https://dl.acm.org/doi/abs/10.1145/3726302.3730302
  • Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
    International Conference on Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research, 2025
    Grigor Bezirganyan, Sana Sellami, Laure Berti-Equille, Sébastien Fournier
    https://proceedings.mlr.press/v258/bezirganyan25a.html
  • Anomaly Detection fromTime Series Under Uncertainty
    2024
    Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz
    https://hal.science/hal-04938177v1
  • MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning
    Workshop of Multimodal AI at 2024 IEEE International Conference on Big Data (BigData), 2024
    Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
    https://ieeexplore.ieee.org/document/10825593
  • Data and Decision Fusion for Uncertainty Quantification in Machine Learning based Healthcare Decision systems
    CIKM 2023, 2023
    Grigor Bezirganyan
    https://dl.acm.org/doi/abs/10.1145/3583780.3616004?casa_token=a4uAHx14G_gAAAAA:iZ6Fn6Wuez7wWiqM8U-_vzjOk2FyEPZTDbjESDtHYJtHFnzhNPcjP9O3Fcc1bvELDZBvW-zohg
  • M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data
    IEEE International Conference on Big Data (BigData), 2023
    Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
    https://ieeexplore.ieee.org/document/10386252

Languages

Anglais : C2 - Courant

Français : A1 - Débutant

Russe : B1 - Intermédiaire

Arménien : C2 - Maternel