Since 2012, Qarma has developed a general expertise in machine learning and modern artificial intelligence, from theory and algorithms to applications. The team is composed of about 15-20 members with complementary skills covering all fields of machine learning, as illustrated by Qarma’s training activities.
Research works at Qarma are currently focussed on three major axes :
- learning theory;
- deep learning;
- connections between machine learning and signal processing;
and two transverse axes closely related to the above major axes :
- multi-view learning;
- machine learning for neurosciences.
Qarma’s research has also been related to spectral learning, grammatical inference, multi-task learning, active learning, budget learning, scalability, applications to gesture, audio, video, image, language.