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Gauthier Gidel

Gauthier Gidel

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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Université de Montréal

Google Scholar

About

Gauthier Gidel is a Canada CIFAR AI Chair at Mila and an assistant professor at the Department of Computer Science and Operations Research (DIRO) at Université de Montréal.

Gidel’s research lies at the intersection between learning, game theory and optimization. He aims to build a better understanding of adversarial formulations for machine learning (ML). He’s interested in the fundamental reasons behind the great successes of adversarial formulations and at efficient training methods in such an adversarial context.

Awards

  • Borealis AI Graduate Fellowship, 2019
  • DIRO Excellence Grant, 2017 and 2018

Relevant Publications

  • Bose, A. J., Gidel, G., Berrard, H., Cianflone, A., Vincent, P., Lacoste-Julien, S., & Hamilton, W. L. (2020). Adversarial Example Games.

  • Czarnecki, W. M., Gidel, G., Tracey, B., Tuyls, K., Omidshafiei, S., Balduzzi, D., & Jaderberg, M. (2020). Real World Games Look Like Spinning Tops.

  • Gidel, G., Berard, H., Vignoud, G., Vincent, P., & Lacoste-Julien, S. (2019). A variational inequality perspective on generative adversarial networks.

  • Gidel, G., Hemmat, R. A., Pezeshki, M., Le Priol, R., Huang, G., Lacoste-Julien, S., & Mitliagkas, I. (2019). Negative momentum for improved game dynamics. In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 1802-1811). PMLR.

  • Chavdarova, T., Gidel, G., Fleuret, F., & Lacoste-Julien, S. (2019). Reducing noise in gan training with variance reduced extragradient. In Advances in Neural Information Processing Systems (pp. 393-403).

Institution

Mila

Université de Montréal

Department

Department of Computer Science and Operations Research (DIRO)

Education

  • PhD (Computer Science), University of Montreal
  • Master 2 (Mathematics, Machine learning and Computer science), École Normale Supérieure de Cachan
  • Diplôme de l'E.N.S. (Mathematics), École normale supérieur de Paris
  • Master 1 (Mathematics), École normale supérieur de Paris
  • License 1 (Mathematics), École normale supérieur de Paris

Country

Canada

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