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)

Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression. - Konstantin T. Matchev; Katia Matcheva; Alexander Roman (CoRR, 2021)

Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra. - Konstantin T. Matchev; Katia Matcheva; Alexander Roman (CoRR, 2022)

Simulation-Based Optimization of Air Force Mission Planning. - Mihaela Lechner; Alexander Roman; Tobias Uhlig; Oliver Rose; Thomas Mayer 002 (WSC, 2023)

Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup Unlu; Sarunas Verner (CoRR, 2023)

Discovering Sparse Representations of Lie Groups with Machine Learning. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. - Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Alexander Roman; Eyup B. Unlu; Sarunas Verner (CoRR, 2023)

Oracle-Preserving Latent Flows. - Alexander Roman; Roy T. Forestano; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Symmetry, 2023)

Towards shutdownable agents via stochastic choice. - Elliott Thornley; Alexander Roman; Christos Ziakas; Leyton Ho; Louis Thomson (CoRR, 2024)