{"id":9756,"date":"2023-05-15T14:21:56","date_gmt":"2023-05-15T18:21:56","guid":{"rendered":"https:\/\/www.crmath.ca\/page-calendrier\/schedule-to-be-confirmed\/"},"modified":"2023-05-15T14:25:26","modified_gmt":"2023-05-15T18:25:26","slug":"program-crm-ills-2023","status":"publish","type":"page-calendrier","link":"https:\/\/www.crmath.ca\/en\/page-calendrier\/program-crm-ills-2023\/","title":{"rendered":"Program CRM-ILLS 2023"},"content":{"rendered":"


\n<\/p>\n

9h00 – Welcome<\/em><\/p>\n

9h30<\/em> – Simone Brugapaglia (CRM-Concordia, IRL-CRM)<\/h4>\n
    \n
  • Invariance, encodings, and generalization: learning identity effects with neural networks <\/li>\n<\/ul>\n

    10h00<\/em> – Pablo Piantanida (CentraleSup\u00e9lec\/CNRS et directeur de l’IRL-ILLS)<\/h4>\n
      \n
    • Information-theoretic methods for trustworthy machine learning<\/li>\n<\/ul>\n

      10h45 – Coffee break<\/em><\/p>\n

      11h15<\/em> – Yves D’Angelo (Universit\u00e9 de Nice Cote d’Azur et futur directeur de l\u2019IRL-CRM)<\/h4>\n
        \n
      • EEM approach for pre-mixed wrinkled flames<\/li>\n<\/ul>\n

        11h45<\/em> – Aditya Mahajan (McGill University, IRL-ILLS)<\/h4>\n
          \n
        • Approximate planning and learning for partially observed systems<\/li>\n<\/ul>\n

          12h30 – Lunch<\/em><\/p>\n

          14h00<\/em> – Olivier Lafitte (Universit\u00e9 Sorbonne Paris Nord et directeur de l\u2019IRL-CRM)<\/h4>\n
            \n
          • Band spectrum and integrated density of states for a 1d Schrodinger operator<\/li>\n<\/ul>\n

            14h30<\/em> – Mark Coates (McGill University et co-directeur de l\u2019IRL-ILLS)<\/h4>\n
              \n
            • Avoiding message passing in graph transformers<\/li>\n<\/ul>\n

              15h15 – Coffee break<\/em><\/p>\n

              15h45<\/em> – R\u00e9mi Coulon (IRL-CRM, DR CNRS) <\/h4>\n
                \n
              • Exploring non-euclidean geometries in virtual reality<\/li>\n<\/ul>\n

                16h15<\/em> – Christian Desrosiers (Ecole de Technologie Sup\u00e9rieure, IRL-ILLS) <\/h4>\n
                  \n
                • Image analysis with unlabeled data: Doing more with less<\/li>\n<\/ul>\n

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