Research – Page 4 – Gabriel Turinici

« Algorithms that get old : the case of generative deep neural networks », LOD 2022 conference

septembre 19, 2022septembre 22, 2023gabriel

This is a talk presented at

The 8^th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – September 18 – 22, 2022 – Certosa di Pontignano, Siena – Tuscany, Italy

Talk materials: the slides of the presentation.

Workshop on « Models, Human Behaviour and Infectious Diseases », Institut Pasteur, Paris, May 23rd 2022

mai 22, 2022mai 22, 2022gabriel

Workshop on « Models, Human Behaviour and Infectious Diseases » of the Coordinated Action on Modelling of Infectious Diseases, Institut Pasteur, Paris May 23rd, 2022

Slides of the talk « From vaccination to lock-down compliance: Mean Field Games approaches to behavioral epidemiology »

Mathematical models in immunology: talk at UMI-MSE Seminar, Jan 22

janvier 27, 2022février 19, 2022gabriel

This is a talk titled « Mathematical models in immunology: weekly neutralizing antibodies, antibody dependent enhancement and reinfection » presented at the UMI-MSE Seminars

Talk materials: the slides of the presentation. and the VIDEO RECORDING HERE.

« Measure compression in generative and unsupervised learning » at the CPAM 2021 conference

novembre 20, 2021septembre 22, 2023gabriel

This is a talk presented 4th Current Trends in Applied Mathematics conference (held virtually in Iasi at the Romanian Academy of sciences, nov 20 2021) CPAM 2021 conference

Talk materials: the slides of the presentation. and the Video here.

Research communities

mai 11, 2021mai 11, 2021gabriel

I am currently involved in several research communities, some of them below

coordinator of the ‘Artificial intelligence and machine learning’ and ‘Coronavirus : immunity research’ communities

« Convergence dynamics of Generative Adversarial Networks: the dual metric flows » at the CADL workshop (ICPR 2020 conference)

janvier 11, 2021septembre 22, 2023gabriel

This is a talk presented at the CADL (Computational Aspects of Deep Learning) workshop held during the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021) ICPR 2020 conference

Talk materials:

Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent: talk at the ICPR 2020 conference

janvier 11, 2021septembre 23, 2022gabriel

This is a talk on a joint work with Imen Ayadi presented at the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021) ICPR 2020 conference

Talk materials: Youtube Video of the presentation and the slides of the presentation.