Mohammad Emtiyaz Khan (Ph.D.)
Title
Team Leader
Members
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Team leaderEmtiyaz Khan
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Research scientistThomas Moellenhoff
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Postdoctoral researcherKeigo Nishida
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Postdoctoral researcherHugo Monzon
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Postdoctoral researcherZhedong Liu
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Postdoctoral researcherChristopher Anders
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Postdoctoral researcherYohan Jung
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Technical staff ISin-han Yang
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Visiting scientistRio Yokota
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Visiting scientistPierrealain Alquier(Professor, ESSEC Singapore)
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Visiting scientistGeoffrey Wolfer
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Visiting scientistJoseph Austerweil
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Student traineeDharmesh Tailor
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Student traineeAvrajit Ghosh
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Student traineeWenlong Chen
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Student traineeMarco Miani
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Part-time worker IAnita Yang
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Part-time worker IBai Cong
Introduction
Humans, animals, and other living beings have a natural ability to autonomously learn throughout their lives and quickly adapt to their surroundings, but AI lack such abilities. Our goal is to bridge such gaps between the learning of living-beings and AI. We are machine learning researchers with an expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry etc. We work on a variety of learning problems, especially those involving supervised, continual, active, federated, online, and reinforcement learning. Currently, we are developing algorithms which enable computers to autonomously learn to perceive, act, and reason throughout their lives.
Main Research Field
Computer Science
Research Subjects
Machine Learning
Statistics
Artificial Intelligence
Statistics
Artificial Intelligence
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
- FY2023 Research Results(PDF 2MB)
- FY2022 Research Results(PDF 1.81MB)
- FY2021 Research Results(PDF 1.78MB)
- FY2019 Research Results
- FY2018 Research Results
Related Link(s)
- ALQUIER Pierre, Research Scientist
https://pierrealquier.github.io/
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