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Journal Articles
- 2023
[j1]Bálint Máté, François Fleuret:
Learning Interpolations between Boltzmann Densities. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2023
- [c2]Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. NeurIPS 2023 - 2022
- [c1]Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret:
Flowification: Everything is a normalizing flow. NeurIPS 2022
Informal and Other Publications
- 2024
- [i9]Bálint Máté, François Fleuret:
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows. CoRR abs/2401.00828 (2024) - [i8]Bálint Máté, François Fleuret, Tristan Bereau:
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models. CoRR abs/2406.02313 (2024) - 2023
- [i7]Bálint Máté, François Fleuret:
Learning Deformation Trajectories of Boltzmann Densities. CoRR abs/2301.07388 (2023) - [i6]Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret:
Graph Neural Networks Go Forward-Forward. CoRR abs/2302.05282 (2023) - 2022
- [i5]Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine
, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. CoRR abs/2202.05012 (2022) - [i4]Bálint Máté, Bertrand Le Saux, Maxwell Henderson:
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. CoRR abs/2203.00601 (2022) - [i3]Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret:
Flowification: Everything is a Normalizing Flow. CoRR abs/2205.15209 (2022) - [i2]Bálint Máté, François Fleuret:
Deformation Theory of Boltzmann Distributions. CoRR abs/2210.13772 (2022) - 2021
- [i1]Bálint Máté, François Fleuret:
Priming PCA with EigenGame. CoRR abs/2109.03709 (2021)
Coauthor Index
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