Towards creating longer genetic sequences with GANs: Generation in principal component space. - Antoine Szatkownik; Cyril Furtlehner; Guillaume Charpiat; Burak Yelmen; Flora Jay (MLCB, 2023)

dnadna: a deep learning framework for population genetics inference. - Théophile Sanchez; Erik Madison Bray; Pierre Jobic; Jérémy Guez; Anne-Catherine Letournel; Guillaume Charpiat; Jean Cury; Flora Jay (Bioinform., 2023)

Deep convolutional and conditional neural networks for large-scale genomic data generation. - Burak Yelmen; Aurélien Decelle; Leila Lea Boulos; Antoine Szatkownik; Cyril Furtlehner; Guillaume Charpiat; Flora Jay (PLoS Comput. Biol., 2023)

Interpreting artificial neural networks to detect genome-wide association signals for complex traits. - Burak Yelmen; Maris Alver; Estonian Biobank Research Team; Flora Jay; Lili Milani (CoRR, 2024)