Máté, Bálint

1. Learning Interpolations between Boltzmann Densities
   2023/01/18 by Bálint Máté, François Fleuret, Máté, Bálint +1 · 10 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistical Mechanics and Entropy
2. Flowification: Everything is a Normalizing Flow
   2022/05/30 by Bálint Máté, Máté, Bálint, Samuel Klein +5 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
3. Accurate and scalable exchange-correlation with deep learning
   2025/06/17 by Giulia Luise, Luise, Giulia, Chin‐Wei Huang +50 · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Chemical Physics (physics.chem-ph) #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Neural Networks and Applications #and Science (cs.CE)