15 citations · 30 across the 5 of their papers we have counts for
3 papers · 1 filter
Semi-supervised generative approach to point-defect formation in chemically disordered compounds: application to uranium-plutonium mixed oxides
Maciej J. Karcz, Luca Messina, Eiji Kawasaki +3
Machine-learning methods are nowadays of common use in the field of material science. For example, they can aid in optimizing the physicochemical properties of new materials, or he…
Data Subsampling for Bayesian Neural Networks
Eiji Kawasaki, Markus Holzmann, Lawrence Adu-Gyamfi
Markov Chain Monte Carlo (MCMC) algorithms do not scale well for large datasets leading to difficulties in Neural Network posterior sampling. In this paper, we propose Penalty Baye…
Discretely Indexed Flows
Elouan Argouarc'h, François Desbouvries, Eric Barat +2
In this paper we propose Discretely Indexed flows (DIF) as a new tool for solving variational estimation problems. Roughly speaking, DIF are built as an extension of Normalizing Fl…