Hi! PARIS Reading groups Uncertainty
The Hi! PARIS reading groups propose to study a topic using scientific articles on a theoretical and a practical point of view. The reading groups are opportunities of interaction between our corporate donors and our affiliates academic teams around selected topics of interest.
Each Edition is planned for 3-4 sessions presenting one topic by the mean of 3-4 research papers. For each session: presentation of mathematical models and theoretical advances by a researcher + simulations with a Python notebook by an engineer
Registration
Please register to the event using your professional email address to get your personal conference link. Please do not share your personalised link with others, it is unique to you. You will receive an email regarding your registration status.
Edition 2 - Uncertainty
For the second edition of the Hi! PARIS Reading groups, we propose an introduction to Uncertainty.
Session 1/3 – Bayes by Backprop
Tuesday 8 February, 2022 – 2.00-3.30pm (Online)
Speakers
Charles Ollion, École polytechnique
Sylvain Le Corff, Télécom SudParis
Papers
– Weight uncertainty in neural networks
Notebook/simulations
Collab weblink
Session 2/3 – Monte Carlo Dropout
Tuesday 8 March, 2022 – 2.00-3.30pm (Online)
Speakers
Charles Ollion, École polytechnique
Sylvain Le Corff, Télécom SudParis
Papers
– Dopout as a Bayesian approximation: representing model uncertainty in deep learning
Session 3/3 – Monte Carlo Variational AutEncoders
Tuesday 12 April, 2.00-3.30pm (Online)
Speaker
Achille Thin, École polytechnique (CMAP)