Selected Papers
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
2024
B. Máté, F. Fleuret and T. Bereau
Preprint
@misc{máté2024neural,
title={Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models},
author={Bálint Máté and François Fleuret and Tristan Bereau},
year={2024},
eprint={2406.02313},
archivePrefix={arXiv},
primaryClass={cond-mat.stat-mech},
url={https://arxiv.org/abs/2406.02313}
}
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
@inproceedings{
m{\'a}t{\'e}2024multilattice,
title={Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows},
author={B{\'a}lint M{\'a}t{\'e} and Fran{\c{c}}ois Fleuret},
booktitle={ICLR 2024 Workshop on AI4DifferentialEquations In Science},
year={2024},
url={https://openreview.net/forum?id=KawEfETYjt}
}
Learning Interpolations between Boltzmann Densities
2023
B. Máté and F. Fleuret
Transactions on Machine Learning Research (TMLR)
@article{m{\'a}t{\'e}2023learning,
title={Learning Interpolations between Boltzmann Densities},
author={B{\'a}lint M{\'a}t{\'e} and Fran{\c{c}}ois Fleuret},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2023},
url={https://openreview.net/forum?id=TH6YrEcbth},
note={}
}