Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - This Week in Machine Learning & AI

Sam is joined by Max Welling, VP of technologies at Qualcomm, to discuss his research at Qualcomm AI Research and the University of Amsterdam.

12 mentions: @wellingmax@twimlai@me_datapoint@twimlai@twimlai@twimlai@sk121@twimlai
Date: 2019/05/20 14:59

Referring Tweets

@wellingmax Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267 https://t.co/yXARlkzbLE
@twimlai We’re joined by @wellingmax, research chair in machine learning at the University of Amsterdam, & VP of technologies at @Qualcomm, & Fellow at the Canadian Institute for Advanced Research, or CIFAR. Hear Max share his research at Qualcomm AI & more at https://t.co/IwZyfoEGy8 https://t.co/Yzy8C9Q5RQ
@me_datapoint Interesting interview of @wellingmax by @twimlai: https://t.co/3FIVepQHGI In last 3rd coming to his recent essay https://t.co/oEXjbVQO03 and arguing for why model based RL/DL could be key for dealing with rare events (and life is full of those!)!

Related Entries

Read more COTA: Improving Uber Customer Care with NLP & Machine Learning
Read more GitHub - asavinov/lambdo: Feature engineering and machine learning: together at last!
Read more GitHub - slundberg/shap: A unified approach to explain the output of any machine learning model.
Read more Variational Autoencoder in Tensorflow - facial expression low dimensional embedding - Machine learni...
Read more Proceedings of Machine Learning Research