Bálint Máté

16 papers A* 2Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accurate and scalable exchange-correlation with deep learning.
CoRR
Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, José Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
2025 J jnl
Enhancing Diffusion-Based Sampling with Molecular Collective Variables.
CoRR
Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gómez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller
2024 J jnl
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows.
CoRR
Bálint Máté, François Fleuret
2024 J jnl
Multi-lattice sampling of quantum field theories via neural operator-based flows.
Mach. Learn. Sci. Technol.
Bálint Máté, François Fleuret
2024 J jnl
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models.
CoRR
Bálint Máté, François Fleuret, Tristan Bereau
2024 J jnl
Solvation Free Energies from Neural Thermodynamic Integration.
CoRR
Bálint Máté, François Fleuret, Tristan Bereau
2023 J jnl
Graph Neural Networks Go Forward-Forward.
CoRR
Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret
2023 J jnl
Learning Deformation Trajectories of Boltzmann Densities.
CoRR
Bálint Máté, François Fleuret
2023 J jnl
Learning Interpolations between Boltzmann Densities.
Trans. Mach. Learn. Res.
Bálint Máté, François Fleuret
2023 A* conf
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
NeurIPS
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret
2022 J jnl
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators.
CoRR
Bálint Máté, Bertrand Le Saux, Maxwell Henderson
2022 J jnl
Deformation Theory of Boltzmann Distributions.
CoRR
Bálint Máté, François Fleuret
2022 J jnl
Flowification: Everything is a Normalizing Flow.
CoRR
Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022 A* conf
Flowification: Everything is a normalizing flow.
NeurIPS
Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022 J jnl
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
CoRR
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret
2021 J jnl
Priming PCA with EigenGame.
CoRR
Bálint Máté, François Fleuret