I am a third year Ph.D. student at Gatsby under the supervision of Arthur Gretton. Prior to joining Gatsby, I graduated from Ecole polytechnique with a focus in Applied Mathematics and got a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA). I also worked as a Computer Vision Engineer at Chronocam. My work currently focuses on learning distributions. More details can be found in my resume.


11 / 2018
Talk at Cambridge-Tübingen workshop 2018 (Tenerife, Spain).
11 / 2018
Talk at Google Developer Group Reading & Thames Valley
10 / 2018
Microsoft Research PhD Summit 2018 (Redmond, USA)
07 / 2018
Best Poster Award at MSR AI Summer School 2018 (Cambridge, UK)
06 / 2018
Data Science Summer School 2018 (Palaiseau, France)
06 / 2018
Code Code for Scaled MMD-GAN is released.
09 / 2017
Data Science Summer School 2017 (Palaiseau, France)


On gradient regularizers for MMD GANs
Michael Arbel*, Dougal J. Sutherland*, Mikołaj Bińkowski and Arthur Gretton.
NeurIPS, 2018.
Demystifying MMD GANs
Mikołaj Bińkowski*, Dougal J. Sutherland*, Michael Arbel and Arthur Gretton.
ICLR, 2018
Kernel Conditional Exponential Family
Michael Arbel and Arthur Gretton.
Efficient and principled score estimation with Nyström kernel exponential families
Dougal J. Sutherland*, Heiko Strathmann*, Michael Arbel and Arthur Gretton.


Fall 2017-present
Fall 2017
Fall 2017