Bálint Máté

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Appearance Based Object Recognition

Principle Component Analysis

Reinforcement Learning

Diffusion Models

Top Venues

Trans. Mach. Learn. Res.

Publications

Bálint Máté, François Fleuret
Multi-Lattice Sampling of Quantum Field Theories via Neural Operators. CoRR (2024)
Bálint Máté, François Fleuret, Tristan Bereau
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models. CoRR (2024)
Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret
Graph Neural Networks Go Forward-Forward. CoRR (2023)
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)
Bálint Máté, François Fleuret
Learning Deformation Trajectories of Boltzmann Densities. CoRR (2023)
Bálint Máté, François Fleuret
Learning Interpolations between Boltzmann Densities. Trans. Mach. Learn. Res. 2023 (2023)
Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
Flowification: Everything is a normalizing flow. NeurIPS (2022)
Bálint Máté, Bertrand Le Saux, Maxwell Henderson
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. CoRR (2022)
Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
Flowification: Everything is a Normalizing Flow. CoRR (2022)
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 (2022)
Bálint Máté, François Fleuret
Deformation Theory of Boltzmann Distributions. CoRR (2022)
Bálint Máté, François Fleuret
Priming PCA with EigenGame. CoRR (2021)