I am a PhD student in the Computer Science and Physics departments of the University of Geneva under the supervision of François Fleuret. I am interested in ML-enhanced science, generative modelling and statistical physics.

I spent the summer of 2023 interning in the Electronic Structure team of the AI4Science group of Microsoft Research in Amsterdam, and the spring of 2024 visiting the group of Tristan Bereau at the University of Heidelberg. Prior to starting my PhD, I studied theoretical physics and differential geometry in Hamburg and mechanical engineering in Budapest.



I am close to finishing my PhD and looking for opportunities on the interface between machine learning and the computational natural sciences.
Selected Papers
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
2024
B. Máté, F. Fleuret and T. Bereau
Preprint
paper | summary | bib
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
2024
B. Máté and F. Fleuret
ICLR 2024 Workshop on AI4DifferentialEquations in Science
paper | bib
Learning Interpolations between Boltzmann Densities
2023
B. Máté and F. Fleuret
Transactions on Machine Learning Research (TMLR)
paper | code | summary | bib