Active deep learning method for the discovery of objects of interest in large spectroscopic surveys. - Petr Skoda 004; Ondrej Podsztavek; Pavel Tvrdík (CoRR, 2020)

Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. - Kai Hou Yip; Quentin Changeat; Ingo P. Waldmann; Eyup B. Unlu; Roy T. Forestano; Alexander Roman; Katia Matcheva; Konstantin T. Matchev; Stefan Stefanov; Ondrej Podsztavek; Mario Morvan; Nikolaos Nikolaou; et al. (NeurIPS (Competition and Demos), 2021)

Spectroscopic redshift determination with Bayesian convolutional networks. - Ondrej Podsztavek; Petr Skoda 004; Pavel Tvrdík (Astron. Comput., 2022)

Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms. - Ondrej Podsztavek; Alexander I. Jordan; Pavel Tvrdík; Kai Lars Polsterer (ESANN, 2024)