Deep Learning

Meta-learning richer priors for VAEs
In my MSc thesis I worked at the interface between VAEs and meta-learning with the aim of find better and richer priors.
Meta-learning richer priors for VAEs
Deep Learning for Gravitational Wave Physics
As a research assistant I built deep learning models to emulate complex cosmological simulations and to constrain the formation of binary black holes.
Deep Learning for Gravitational Wave Physics
Vital signs and disease progression
As part of Introduction to Machine Learning we developed a deep learning model to forecast vital signs and disease progression for hospitalized patients.
Vital signs and disease progression
ML for di-tau mass reconstruction in ATLAS
With the help of a Boosted Regression Tree and a Neural Network I reconstructed the mass of the Higgs boson from its decay into tau leptons.
ML for di-tau mass reconstruction in ATLAS