Ha Quang Minh
Minh Ha Quang (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Minh Ha Quang
  • Visiting scientist
    Tam Le

Introduction

The Functional Analytic Learning Team focuses on functional analytic and geometrical methods in machine learning, in particular methods based on Riemannian geometry, matrix and operator theory, and vector-valued Reproducing Kernel Hilbert Spaces (RKHS). An important direction is the theoretical formulations and algorithms based on the geometry of positive definite operators, especially RKHS covariance operators. The targeted application domains include, but are not limited to, functional data analysis, computer vision, image and signal processing, brain imaging, and brain computer interfaces.

Main Research Field
Computer Science
Research Field
Mathematics
Research Subjects
Vector-valued Reproducing Kernel Hilbert Spaces
Geometrical methods in machine learning
Laboratory Website URL
https://minh-ha-quang.github.io/
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/funct_anl_learn/

Introduction Video

Functional Analytic Learning Unit (PI: Ha Quang Minh) thumbnails
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Poster(s)

Research Achievements

List of Achievements

Related posts

posted on October 31, 2024 13:56Information
[In the media]nature: WHERE I WORK "How I peer into the geometry behind computer vision"
posted on September 1, 2024 22:25Seminar
Seminars by Thi Thai Le and Amauri da Silva Junior
posted on May 9, 2024 22:55Information
37 papers have been accepted at ICML 2024
posted on January 29, 2024 09:39Information
7 papers have been accepted at AISTATS 2024
posted on September 29, 2023 16:37Information
【Event Report】RIKEN AIP and NCU Joint Workshop on Mathematical Foundations of Machine Learning (Poland, Sep. 26, 2023)
posted on July 28, 2023 14:28Seminar
Seminar by Shpresim Sadiku (Zuse Institute Berlin) on "Minimally Distorted Interpretable Adversarial Attacks"
posted on May 1, 2023 15:48Information
Two papers have been accepted at IJCAI 2023
posted on January 27, 2023 10:01Information
7 papers have been accepted at AISTATS 2023
posted on June 1, 2022 13:36Seminar
[16th EPFL CIS - RIKEN AIP Joint Seminar] Talks by Minh Ha Quang, RIKEN AIP
posted on December 15, 2020 19:16Seminar
[10th AIP Open Seminar] Talks by Functional Analytic Learning Unit
posted on November 12, 2018 15:22Seminar
Recurrent World Models Facilitate Policy Evolution
posted on September 25, 2018 11:09Information
NUS SoC – RIKEN AIP Workshop on Artificial Intelligence in Singapore