Seminars
Our research seminar series is a regular event that aims to connect the international AI community to the AI research community in the Southeast Asia region and in Vietnam and to help foster and promote AI research among AI practitioners in this region.
Throughout the years, our event has been graced by prominent AI experts from academia and industry as invited speakers. We uphold a stringent standard for the seminars, inviting only those who have earned Ph.D. degrees or are actively pursuing them and have recently published top-tier papers in their respective fields.
Phan-Minh Nguyen
Stanford University
Mean field limit in neural network learning
Fri, Oct 23 2020 - 10:00 am (GMT + 7)
Marco Cuturi
Google Brain
Supervised Quantile Normalization for Matrix Factorization using Optimal Transport
Fri, Oct 16 2020 - 02:30 pm (GMT + 7)
Tan Nguyen
University of California
On the Momentum-based Methods for Training and Designing Deep Neural Networks
Fri, Oct 9 2020 - 10:00 am (GMT + 7)
Thien Le
Massachusetts Institute of Technology
Learning/Optimization over abstract non-manifold structures: A case in biological data analysis
Fri, Oct 2 2020 - 10:00 am (GMT + 7)
Tin Nguyen
Massachusetts Institute of Technology
Independent finite approximations for Bayesian nonparametric inference: Construction, Error bounds, and Practical implications
Fri, Sep 25 2020 - 10:00 am (GMT + 7)
Hai Tran-Bach
University of Chicago
Mehler’s formula, Branching process and Compositional Kernels of Deep Neural Networks
Fri, Sep 18 2020 - 10:00 am (GMT + 7)