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Inferring Causal Direction from Observational Data: A Complexity Approach., and . CoRR, (2020)Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals., , , , , , and . CoRR, (2020)Better Boosting with Bandits for Online Learning., , , and . CoRR, (2020)Margin Maximization as Lossless Maximal Compression., , and . CoRR, (2020)Fast regression of the tritium breeding ratio in fusion reactors., , , , , and . Mach. Learn. Sci. Technol., 4 (1): 15008 (March 2023)Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning., , , , , , , , , and 6 other author(s). ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 322-338. Springer, (2019)PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch., , , and . CoRR, (2020)Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots., , , , , , , , , and 13 other author(s). CoRR, (2020)Fast Regression of the Tritium Breeding Ratio in Fusion Reactors., , , , , and . CoRR, (2021)Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2021)