Bálint Máté

According to our database, Bálint Máté authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Solvation Free Energies from Neural Thermodynamic Integration.

Bálint Máté, François Fleuret, Tristan Bereau

CoRR, 2024

Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models.

Bálint Máté, François Fleuret, Tristan Bereau

CoRR, 2024

Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows.

Bálint Máté, François Fleuret

CoRR, 2024

2023

Learning Interpolations between Boltzmann Densities.

Bálint Máté, François Fleuret

Trans. Mach. Learn. Res., 2023

Graph Neural Networks Go Forward-Forward.

Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

CoRR, 2023

Learning Deformation Trajectories of Boltzmann Densities.

Bálint Máté, François Fleuret

CoRR, 2023

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.

Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deformation Theory of Boltzmann Distributions.

Bálint Máté, François Fleuret

CoRR, 2022

Beyond Ansätze: Learning Quantum Circuits as Unitary Operators.

Bálint Máté, Bertrand Le Saux, Maxwell Henderson

CoRR, 2022

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.

Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret

CoRR, 2022

Flowification: Everything is a normalizing flow.

Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Priming PCA with EigenGame.

Bálint Máté, François Fleuret

CoRR, 2021