• ABZ 2023

    Loria

    ABZ 2023 (9TH INTERNATIONAL CONFERENCE ON RIGOROUS STATE-BASED METHODS) will take place at Loria from Tuesday, 30th May to Friday, 2nd June. The ABZ conference is dedicated to the cross-fertilization of state-based and machine-based formal methods, like Abstract State Machines (ASM), Alloy, B, TLA, VDM and Z, that share a common conceptual foundation and are […]

  • PhD defense: Sandipana Dowerah (Multispeech)

    C005 Loria

    Sandipana Dowerah (Multispeech) will defend her thesis, entitled "Deep Learning-based ​Multichannel Speech Enhancement for far-field Speaker Verification", on Tuesday May 30th at 2pm in room C005. Abstract: Smart applications like speaker verification have become essential in verifying the user's identity for availing of personal assistants or online banking services based on the user's voice characteristics. However, far-field or distant speaker verification […]

  • Soutenance de thèse de Paul Caillon (Synalp)

    Loria

    Paul Caillon (Synalp) soutiendra sa thèse intitulée "Apprentissage profond sans supervision directe pour le traitement automatique des langues", le 31 mai à 14h en salle C005. Résumé : La profondeur des réseaux de neurones n’est plus l’aspect le plus important des systèmes d’apprentissage en profondeur de nos jours. Il s’agit plutôt de la possibilité de […]

  • PhD Defense: Nuwan Herath (Gamble)

    Loria

    Nuwan Herath (Gamble) will defend his thesis, entitled "Fast high-resolution drawing of algebraic curves and surfaces", on Friday June 2nd at 2pm in room C005. Abstract: Scientific visualization allows users to build an intuition and to get an understanding of their data. Its applications are numerous: modeling for simulations, mechanism design, medical imaging... We address […]

  • Soutenance de thèse de Guillaume Le Berre (Synalp)

    Loria

    Guillaume Le Berre (Synalp) soutiendra sa thèse intitulée "Vers la mitigation des biais en traitement neuronal des langues", le 2 juin à 15h. Résumé : Il est de notoriété que les modèles d’apprentissage profond sont sensibles aux biais qui peuvent être présents dans les données utilisées pour l’apprentissage. Ces biais qui peuvent être définis comme […]