Hi, I'm Maxime. I'm a PhD student in machine learning.
I am interested in using statistical machine learning for decision making. In particular, using tools from Bayesian deep learning, neural density estimation and latent variable modelling to build decision-making systems the account for uncertainty and risk.
More generally, my interests include:
I write articles related to things I'm working on. Here are the latest ones:
Some papers I have written or co-authored.
Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison
2023 – ICLR
https://arxiv.org/abs/2308.13111
Michele Garibbo, Maxime Robeyns, Laurence Aitchison
2023 – NeurIPS
https://arxiv.org/abs/2302.14182
Adam X. Yang, Maxime Robeyns, Edward Milsom, Nandi Schoots, Laurence Aitchison
2023 – ICML
https://proceedings.mlr.press/v202/yang23k/yang23k.pdf
Maxime Robeyns, Sotiria Fotopolou, Mike Walmsley, Laurence Aitchison
2022 – ICML 2022 Workshop on Machine Learning for Astrophysics
https://ml4astro.github.io/icml2022/assets/12.pdf
Any other drivel and shower thoughts end up in my "fragments". Here are the last ones: