AI News, Olivier Bousquet artificial intelligence

Cluster of Excellence Multimodal Computing and Interaction

His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences. His

work, and that of his students, received best paper awards at the top machine learning conferences: COLT 2005, AISTATS 2007 and NIPS 2008.

His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences.

His work, and that of his students, received best paper awards at the top machine learning conferences: COLT 2005, AISTATS 2007 and NIPS 2008.

New Trends in Machine Learning - Olivier Bousquet - MLSS 2017

This is Olivier Bousquet's talk on New Trends in Machine Learning, given at the Machine Learning Summer School 2017, held at the Max Planck Institute for ...

Possible formalizations of Representation Learning - Olivier Bousquet

DALI 2018 Workshop on Goals and Principles of Representation Learning Speaker: Olivier Bousquet

Generative Density Estimation: Convexity and Boosting - Olivier Bousquet

DALI 2017 Workshop - Theory of Generative Adversarial Networks Title: Generative Density ..

AdaGAN: Boosting Generative Models, DALI 2017 | Olivier Bousquet, Google Research

Olivier Bousquet, Google Generative Adversarial Networks (GAN) (Goodfellow et al., 2014) are an effective method for training generative models of complex ...

PPGN: Sampling between 10 classes

Sampling chain from Plug and Play Generative Networks between 10 different classes. The video shows 1 sample per frame with no frames filtered out. Paper: ...