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.



Selected Papers
Solvation Free Energies from Neural Thermodynamic Integration
2024
B. Máté, F. Fleuret and T. Bereau
Preprint
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Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
2024
B. Máté, F. Fleuret and T. Bereau
J. Phys. Chem. Lett. 2024, 15, 45, 11395–11404
paper | summary | bib
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
2024
B. Máté and F. Fleuret
Machine Learning: Science and Technology (in press)
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Learning Interpolations between Boltzmann Densities
2023
B. Máté and F. Fleuret
Transactions on Machine Learning Research (TMLR)
paper | summary | bib
Flowification: Everything is a Normalizing Flow
2022
B. Máté, S. Klein, T. Golling and F. Fleuret
Advances in Neural Information Processing Systems 35, 35478-35489
paper | bib