Discovering Injective Mapping Between Relations in Astrophysics Databases. - Nicu-Razvan Stancioiu; Lhouari Nourine; Jean-Marc Petit; Vasile-Marian Scuturici; Dominique Fouchez; Emmanuel Gangler; Philippe Gris (ISIP, 2016)

A CNN adapted to time series for the classification of Supernovae. - Anthony Brunel; Johanna Pasquet; Jérôme Pasquet; Nancy Rodriguez 001; Frédéric Comby; Dominique Fouchez; Marc Chaumont (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2019)

Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks. - Qiufan Lin; Dominique Fouchez; Jérôme Pasquet (ICPR, 2020)

Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods. - Qiufan Lin; Dominique Fouchez; J. Pasquet; M. Treyer; R. Ait Ouahmed; Stéphane Arnouts; Olivier Ilbert (CoRR, 2022)

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. - George Stein; Uros Seljak; Vanessa Böhm; G. Aldering; P. Antilogus; C. Aragon; S. Bailey; C. Baltay; Sébastien Bongard; K. Boone; C. Buton; Y. Copin; et al. (CoRR, 2022)

Astronomical image time series classification using CONVolutional attENTION (ConvEntion). - Anass Bairouk; Marc Chaumont; Dominique Fouchez; Jérôme Pasquet; Frédéric Comby; Julián Bautista (CoRR, 2023)

CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation. - Qiufan Lin; Hengxin Ruan; Dominique Fouchez; Shupei Chen; Rui Li; Paulo Montero-Camacho; Nicola R. Napolitano; Yuan-Sen Ting; Wei Zhang (CoRR, 2024)