Informative GANs via Structured Regularization of Optimal Transport. - Pierre Bréchet; Tao Wu 006; Thomas Möllenhoff; Daniel Cremers (CoRR, 2019)

When Are Solutions Connected in Deep Networks? - Quynh Nguyen 001; Pierre Bréchet; Marco Mondelli (NeurIPS, 2021)

On Connectivity of Solutions in Deep Learning: The Role of Over-parameterization and Feature Quality. - Quynh Nguyen 001; Pierre Bréchet; Marco Mondelli (CoRR, 2021)

Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss. - Pierre Bréchet; Katerina Papagiannouli; Jing An; Guido Montúfar (ICML, 2023)