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.
Yiping Lu
Stanford University
Implicit Regularization for Algorithm Design: Neural Collapse and Worst Group Generalization
Fri, Mar 25 2022 - 10:00 am (GMT + 7)
Thanh Nguyen-Tang
Johns Hopkins University
Provable Offline Reinforcement Learning: Neural Function Approximation, Randomization, and Sample Complexity
Fri, Jan 13 2023 - 10:00 am (GMT + 7)
Peyman Mohajerin Esfahani
Delft University of Technology
Safe Automation for Intelligent Systems
Fri, Nov 19 2021 - 03:00 pm (GMT + 7)
Qiang Liu
University of Texas at Austin
Functional Gradient Descent methods for optimization and sampling
Fri, Oct 22 2021 - 10:00 am (GMT + 7)
Cuong Nguyen
Florida International University
Toward building a cost-effective and robust machine learning system
Fri, Oct 15 2021 - 10:00 am (GMT + 7)
Anh Nguyen
The Auburn University
Image Gradients for Understanding and Improving Neural Networks
Fri, Sep 24 2021 - 10:00 am (GMT + 7)