Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Likelihood ratio map for direct exoplanet detection. - Hazan Daglayan; Simon Vary; Faustine Cantalloube; Pierre-Antoine Absil; Olivier Absil (IPAS, 2022)

NA-SODINN: a deep learning algorithm for exoplanet image detection based on residual noise regimes. - Carles Cantero; Olivier Absil; Carl-Henrik Dahlqvist; Marc Van Droogenbroeck (CoRR, 2023)

Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks. - Nicolas Roy 003; Lorenzo König; Olivier Absil; Charlotte Beauthier; Alexandre Mayer; Michaël Lobet (CoRR, 2023)

VIP: A Python package for high-contrast imaging. - Valentin Christiaens; Carlos Alberto Gomez Gonzalez; Ralf Farkas; Carl-Henrik Dahlqvist; Evert Nasedkin; Julien Milli; Olivier Absil; Henry Ngo; Carles Cantero; Alan Rainot; Iain Hammond; Markus J. Bonse; et al. (J. Open Source Softw., 2023)

Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra. - Rakesh Nath-Ranga; Olivier Absil; Valentin Christiaens; Emily O. Garvin (CoRR, 2024)

Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks. - Emily O. Garvin; Markus J. Bonse; Jean Hayoz; Gabriele Cugno; Jonas Spiller; Polychronis A. Patapis; Dominique Petit Dit de la Roche; Rakesh Nath-Ranga; Olivier Absil; Nicolai F. Meinshausen; Sascha P. Quanz (CoRR, 2024)