Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting

Flexible distribution-free conditional predictive bands using density estimators

Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations

Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference

The NN-Stacking: Feature weighted linear stacking through neural networks

WIKS: A general Bayesian nonparametric index for quantifying differences between two populations

Evaluation of probabilistic photometric redshift estimation approaches for LSST

Distance assessment and analysis of high-dimensional samples using variational autoencoders

Schrödinger's phenotypes: herbarium specimens show two-dimensional images are both good and (not so) bad sources of morphological data

Combinando métodos de aprendizado supervisionado para a melhoria da previsão do redshift de galáxia