Hi! I'm Michael Blot

I am advised by Matthieu Cord and Nicolas Thome at the LIP6 Lab (UPMC Paris 6 / Sorbonne Universit├ęs).

Research

My primary research interest is in the field of Machine Learning for computer vision. I work on deep learning for large scale image classification. My focus is on Convolutional Neural Networks, their stucture and their associated learning methods.

Recent publications

Gossip training for deep learning

Michael Blot, David Picard, Matthieu Cord, Nicolas Thome

NIPS 2016 workshop, Barcelona, Spain (2016)

Paper Presentation

@inproceedings{GoSGDNIPS16,
Author = {Michael Blot, David Picard, Matthieu Cord, Nicolas Thome},
Title = {Gossip training for deep learning},
booktitle = {NIPS 2016 workshop, Barcelona, Spain},
Year = {2016}
}

MAX-MIN Convolutional Neural Networks for image classification

Michael Blot, Matthieu Cord, Nicolas Thome

IEEE International Conference on Image Processing (ICIP) 2016, Phoenix, US (2016)

Paper Poster

@inproceedings{maxminICIP2016,
Author = {Michael Blot, Matthieu Cord, Nicolas Thome},
Title = {MAX-MIN CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION},
booktitle = {IEEE International Conference on Image Processing (ICIP) 2016, Phoenix, US},
Year = {2016}
}

Transformation-based constraint-guided Generalised Modus Ponens

Michael Blot, Marie-Jeanne Lesot and Marcin Detyniecki

fuzzIEEE 2015 Vancouver, Canada (2016)

Paper

@inproceedings{MGCPfuzzIEEE15,
Author = {Michael Blot, Marie-Jeanne Lesot and Marcin Detyniecki},
Title = {Transformation-based constraint-guided Generalised Modus Ponens},
booktitle = {fuzzIEEE 2015 Vancouver, Canada},
Year = {2015}
}