About the Group

We focus on #probabilistic methods to study #principled, #reliable, and computationally #efficient machine learning.

Our research spans #tractable probabilistic models (probabilistic circuits), #bayesian (deep) learning, and exact and approximate inference.

Interested in joining? See information for prospective PhD students, postdocs, and MSc thesis students.

Current Members

Tingyun Yin

Tingyun Yin

Incoming PhD Student

w/ Henrik Boström (KTH)

Ginevra Cepparulo

Ginevra Cepparulo

Research Engineer

w/ Hossein Azizpour (KTH)