Hi, I'm Maxime. I'm a final-year PhD student in machine learning.

I am interested in using probabilistic machine learning for making decisions. In particular, how to effectively train, fine-tune or continually update neural networks using insights from deep learning theory and Bayesian deep learning; how to model arbitrary and complex distributions with neural density estimation; and how to reliably account for uncertainty and risk in model predictions using tools such as conformal prediction.

Some other topics and areas I work on include:

I am currently interning as a member of technical staff in an AI software development agents startup.

Fragments

Any other drivel and shower thoughts end up in my "fragments". Here are the last ones:

See All Fragments Here