Gauthier Gidel

Gauthier Gidel is a Canada CIFAR AI Chair, a core member of Mila, and an assistant professor at the Department of Computer Science and Operations Research (DIRO) at Université de Montréal.
His research focuses on generative modeling and multi-objective learning, such as alignment or adversarial robustness. He’s well known for his work on variational inequality for learning, including theoretical analyses of GANs and the introduction of the extragradient method to the deep learning community. Gauthier co-organized a popular series of workshops on smooth games during NeurIPS. He also co-founded the ICLR blog post track and co-organized its first three iterations.