Learning Interpolations between Boltzmann densities B Máté, F Fleuret Transactions on Machine Learning Research, 2023 | 9* | 2023 |
Graph Neural Networks Go Forward-Forward D Paliotta, M Alain, B Máté, F Fleuret NeurIPS Workshop on GLFrontiers, 2023 | 6 | 2023 |
SUPA: A lightweight diagnostic simulator for machine learning in particle physics AK Sinha, D Paliotta, B Máté, J Raine, T Golling, F Fleuret Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Flowification: Everything is a normalizing flow B Máté, S Klein, T Golling, F Fleuret Advances in Neural Information Processing Systems 35, 35478-35489, 2022 | 1 | 2022 |
Deformations of Boltzmann Distributions B Máté, F Fleuret NeurIPS Workshop on ML4Physics, 2022 | 1 | 2022 |
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models B Máté, F Fleuret, T Bereau arXiv preprint arXiv:2406.02313, 2024 | | 2024 |
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows B Máté, F Fleuret ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |