Scholar
Andrea Dittadi
Google Scholar ID: PrvuuaAAAAAJ
Helmholtz AI | Technical University of Munich
Citations & Impact
Citations
924
H-index
13
i10-index
16
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- List of publications can be found on CV or Google Scholar.
Research Experience
- Currently a postdoc in machine learning at Helmholtz AI and the Technical University of Munich. During his PhD, he was a research intern at the Max Planck Institute for Intelligent Systems, Microsoft Research, and Amazon.
Education
- PhD from DTU in Copenhagen, advised by Ole Winther and Thomas Bolander.
Background
- Main research interests are probabilistic generative models (especially diffusion/flow models and VAEs) and representation learning (in particular causal representation learning, disentanglement, object-centric learning). Previously, a postdoc at KTH in Stockholm and an ELLIS PhD student at DTU in Copenhagen.
