2 papers
cs.LG2025
Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts
Quentin Duchemin, Guillaume Obozinski
The perspective of developing trustworthy AI for critical applications in science and engineering requires machine learning techniques that are capable of estimating their own unce…
cond-mat.mtrl-sci2024
Laue Indexing with Optimal Transport
Tomasz Kacprzak, Stavros Samothrakitis, Camilla Buhl Larsen +4
Laue tomography experiments retrieve the positions and orientations of crystal grains in a polycrystalline samples from diffraction patterns recorded at multiple viewing angles. Th…