Seminar

Our research seminar series is a regular event that aims at connecting the international AI community to the AI research community in the South-East Asia region and in Vietnam, and to help foster and promote AI research among AI practitioners in this region. 
Over the years, this event attracted prominent AI experts from both academia and industry as invited speakers. We maintain a high standard for the seminars by selectively inviting speakers received Ph.D. degrees or working as Ph.D. candidates with recent top-tier paper publications.

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 09 2020 - 10:00 am (GMT + 7)
Thien Le

MIT CSAIL

Learning/Optimization over abstract non-manifold structures: A case in biological data analysis
Fri, Oct 02 2020 - 10:00 am (GMT + 7)
Tin Nguyen

MIT CSAIL

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)