Máté, Bálint

8 publications

ICLR 2026 Enhancing Diffusion-Based Sampling with Molecular Collective Variables Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gomez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller

ICLRW 2024 Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-Based Flows Bálint Máté, François Fleuret

ICMLW 2024 Neural Thermodynamic Integration: Free Energies from Energy-Based Diffusion Models Bálint Máté, François Fleuret, Tristan Bereau

NeurIPSW 2023 Graph Neural Networks Go Forward-Forward Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

ICLRW 2023 Learning Deformation Trajectories of Boltzmann Densities Bálint Máté, François Fleuret

TMLR 2023 Learning Interpolations Between Boltzmann Densities Bálint Máté, François Fleuret

NeurIPS 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John Raine, Tobias Golling, François Fleuret

NeurIPS 2022 Flowification: Everything Is a Normalizing Flow Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret