Julian Ibarz is a Staff Software Engineer at Google. He is a technical lead within the Google Brain Robotics team and work on making robots smarter with deep reinforcement learning techniques. Prior to that, he worked 5 years in the Google Maps team helping automating mapping using deep learning.
Significant Contributions at Google
- Design and large scale deployment of first neural network running on Google's TPUs.
- Design, implementation and worldwide deployment of the first generation of our data pipeline based on deep neural networks to automate mapping from Street View images.
- Significant improvements of face and license plate blurring with deep neural networks for Street View privacy.
- Design and implementation of a neural network that can solve reCAPTCHA at 99% accuracy.
- Training and large scale deployment of first Google Brain vision model.
ICDAR (2017), pp. 8
Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson
CoRL 2017 (2017) (to appear)
Norman P. Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross
ISCA (2017) (to appear)
Sergey Levine, Peter Pastor Sampedro, Alex Krizhevsky, Julian Ibarz, Deirdre Quillen
International Symposium on Experimental Robotics (2017)
ICLR2014, ICLR2014 (to appear)