Monday, April 03, 2017

Nuit Blanche in Review (March 2017)

So this past month, since the last Nuit Blanche in Review (February 2017), we asked ourselves "How can you tell the world is changing right before your eyes ?", passed six million page views on Nuit Blanche, advertized a job in Machine Learning at LightOn (as well as many others see the job section), saw one potential impact of AI in the future (Warming Up ) and featured the first Compressed Sensing preprint that uses Generative Models. We also featured several announcements (Summer schools), had two Paris Machine Learning meetups, and had several videos. Enjoy ! 

Sunday Morning Insight


The blogs;





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1 comment:

SeanVN said...

I made some comments related to compressive sensing on this youtube video:
I guess it would be better to start with a zero weighted random projection net and set the outputs of the reality manifold net to all 1's on real samples during training, rather than starting with a randomly weighted net and learning zeros. The reason is to avoid catastrophic forgetting and better allowing lossy compression of the reality manifold. Well that is just an intuition based on experience with such nets.
The idea then is during decompressing you use the reality manifold net to guide the result toward the nearest point on the manifold.
I hope that makes some sort of sense!!