Li Kevin Wenliang
Scholar

Li Kevin Wenliang

Google Scholar ID: MW45NMEAAAAJ
Senior Research Scientist @ Google DeepMind; Research Fellow @ University College London
machine learningcomputational neuroscience
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,253
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Contact
Emailkevinwli@outlook.comCVOpen ↗GitHubOpen ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Blog Posts:
  • - June 9, 2020: Amortised learning for generic generative models
  • - November 23, 2018: Learning deep kernels for exponential family distributions
  • - March 18, 2018: Representation of distributions in the brain
  • - September 22, 2016: This is my first webpage
Research Experience
  • Currently a Research Scientist at Google DeepMind and an Honorary Fellow at University College London at Wellcome Centre for Human Neuroimaging
Education
  • PhD from Gatsby Computational Neuroscience Unit, University College London, supervised by Maneesh Sahani and Peter Dayan; Undergraduate and Master's thesis supervised by Máté Lengyel at the University of Cambridge
Background
  • Research interests span machine learning and theoretical neuroscience, focusing on exploring and proposing unsupervised and reinforcement learning algorithms, understanding the learned representation by agents, and taking inspiration from biological solutions. The ultimate goal is to understand principles of intelligence in artificial and biological agents.
Miscellany
  • CV available on his website
Co-authors
0 total
Co-authors: 0 (list not available)