Invited talk on “Performance-complexity Trade-off in Large Dimensional Spectral Clustering” at Statistics Seminar, Research School of Finance, Actuarial Studies and Statistics, Australian National University, Canberra, March 4, 2021. See slides here.
Invited talk on “Performance-complexity Trade-off in Large Dimensional Spectral Clustering”, STA 290 Seminar, Department of Statistics, University of California, Davis, January 21, 2021. See slides here.
Invited talk on “Recent Advances in Random Matrix Theory for Machine Learning and Neural Nets”, workshop of the Matrix series on “Random matrix theory faces information era”, Kraków, Poland, 29 April - 2 May, 2019. See slides and video.
Invited talk on “Dynamical Aspects of Deep Learning” (with Y. Chitour), Séminaire d’Automatique du plateau de Saclay of iCODE, Paris, France, 2019. See paper, slides, and video.
Invited talk on “Recent Advances in Random Matrix for Neural Networks”, workshop on deep learning theory, Shanghai Jiao Tong University, China, 2018. See slides.
Tutorial on “Random Matrix Advances in Machine Learning and Neural Nets” (with R. Couillet and X. Mai), The 26th European Signal Processing Conference (EUSIPCO'18), Roma, Italy, 2018. See slides and more details here.