Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. - Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (ICLR (Poster), 2018)

Unsupervised Adversarial Image Reconstruction. - Arthur Pajot; Emmanuel de Bézenac; Patrick Gallinari (ICLR (Poster), 2019)

Learning Dynamical Systems from Partial Observations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Julien Brajard; Patrick Gallinari (CoRR, 2019)

Unsupervised Adversarial Image Inpainting. - Arthur Pajot; Emmanuel de Bézenac; Patrick Gallinari (CoRR, 2019)

Incorporating physical knowledge into deep neural network. (Incorporation de connaissance physique dans des réseaux de neurones profonds). - Arthur Pajot (2019)

Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (ICASSP, 2020)

Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. - Ibrahim Ayed; Emmanuel de Bézenac; Arthur Pajot; Patrick Gallinari (Mach. Learn., 2022)