About me
I’m a first year PhD student at the Amsterdam Machine Learning Lab supervised by Jan-Willem van de Meent. My PhD research focuses on causality and using Bayesian methods to infer underlying causal models from data. Previously, I wrote my Master’s thesis on Autoencoders within Flows (AEFs) under the supervision of Luca Ambrogioni.
I obtained a Master’s degree in Computing Science from the Radboud University Nijmegen with a specialization in Data Science.
Publications
- Gianluigi Silvestri*, Daan Roos*, Luca Ambrogioni. Deterministic training of generative autoencoders using invertible layers. To appear in International Conference on Learning Representations 2023. [Paper]