Jonas Degrave
Scholar

Jonas Degrave

Google Scholar ID: M3bkh8MAAAAJ
Research Scientist, Deepmind
RoboticsDeep LearningMachine Learning
Citations & Impact
All-time
Citations
2,587
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Wrote a framework to differentiate through physics, showing that this makes training deep learned controllers for robotics remarkably fast and straightforward.
  • Awarded a best poster award at the Belgian-Dutch Machine Learning Conference (Benelearn).
  • Won $50,000 for a second place in Kaggle's Data Science Bowl with a deep neural network for diagnosing heart diseases.
  • Won $100,000 in a Kaggle competition with the lab team using deep learning to classify plankton.
  • LSD-net featured in New Scientist, Guardian, Der Spiegel, and Atlas Obscura.
  • Developed an interactive system for visualizing high-level features of a large-scale deep neural net.
  • Research on transfer learning for legged robots was published.
  • Successfully defended his research on the Oncilla robot to the European Commission.
  • The Oncilla robot achieved autonomous walking.
Research Experience
  • Advanced to the second round of the Facebook Hacker Cup and received a T-shirt.
  • Optimized a computer vision neural network by backpropagating through a camera.
  • Presented a poster on differentiable physics engine at the Deep Reinforcement Learning Workshop at NIPS.
  • Invited as a technology expert to speak with designers and journalists at the Design Museum in Helsinki, Finland.
  • Participated in multiple research projects such as a real-time note onset prediction system (patent pending), quadrupedal robot gait control, etc.
  • Successfully presented Oncilla robot research to the European Commission in Bielefeld.
  • Published a paper on trotting and turning techniques at Robio conference.
Background
  • Research interests include machine learning, deep reinforcement learning, computer vision, etc.; has extensive research experience in the field of robotics.
Miscellany
  • Active in Pirate Party Belgium.
  • Camped on the roof of an arms factory protesting against weapons export.
  • Spoke at the 3rd Data Science Ghent Meetup on how to use deep learning to win Kaggle competitions.
  • Gave a talk on the relationship between AI and Art at iMal in Brussels.
  • Released a Python-twitch-stream tutorial.