GRANDVALET Yves

Research Director

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Mathematics, Computer Science & Robotics
Skills
Artificial vision, Data analysis, Deep learning, Ethics, Generative models, Machine learning, Pattern recognition, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

Deputy director, Heudiasyc Laboratory

Selected publications

- X. Li, Y. Grandvalet, F. Davoine, J. Cheng, Y. Cui, H. Zhang, S. Belongie, Y-H Tsai, M-H Yang. Transfer Learning in Computer Vision Tasks: Remember Where You Come From. Image and Vision Computing, Elsevier, 2020, 93 (103853).

- X. Li, Y. Grandvalet, F. Davoine. A baseline regularization scheme for transfer learning with convolutional neural networks. Pattern Recognition, Elsevier, In press, 98 (107049).

- A. Lomet, G. Govaert, Y. Grandvalet. Model Selection for Gaussian Latent Block Clustering with the Integrated Classification Likelihood. Advances in Data Analysis and Classification, Springer Verlag, 2018, 12 (3), pp.489-508. 

Industrial collaborations

Facebook, Renault, Plastic Omnium