Mohammad Emtiyaz Khan
Mohammad Emtiyaz Khan (Ph.D.)
Title
Team Director

Members

  • Team director
    Emtiyaz Khan
  • Senior research scientist
    Thomas Moellenhoff
  • Postdoctoral researcher
    Keigo Nishida
  • Postdoctoral researcher
    Hugo Monzon
  • Postdoctoral researcher
    Christopher Anders
  • Visiting scientist
    Rio Yokota
  • Visiting scientist
    Pierrealain Alquier(Professor, ESSEC Singapore)
  • Visiting scientist
    Geoffrey Wolfer
  • Student trainee
    Sophia Sklaviadis
  • Student trainee
    Tobias Wieczorek
  • Student trainee
    Roshni Kamath
  • Part-time worker I
    Bai Cong

Introduction

Laboratory's photo

We aim to develop sustainable and transparent Artificial Intelligent (AI) systems. The goal is twofold: one, to break free from heavy dependence on extremely large data sets, computations, and energy sources, and two, to build systems whose functions are transparent and understandable. We plan to achieve these goals by developing AI systems that can learn via quick and continual adaptation, similarly to humans and animals. Our research relies on a mix of techniques from a wide variety of fields, such as deep learning, statistics, and optimization, covering both theoretical and practical tools.

Main Research Field
Computer Science
Research Subjects
Machine Learning
Statistics
Artificial Intelligence
Laboratory Website URL
RIKEN Website URL

Introduction Video

Talk by Dr. Ilsang Ohn, a postdoctoral researcher at the University of Notre Dame on Adaptive variational Bayes: Optimality, computation and applications thumbnails
Poster(s)
Related Link(s)

Research Achievements

Related posts

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