I am a Marie Curie Research Fellow in the Machine Learning Group at the University of Cambridge, working with Prof. Zoubin Ghahramani. I am generally interested in the wide field of probabilistic modeling, as this is arguably the approach to reason under uncertain knowledge. In particular, I am interested in methods which aim to strike a sensible balance between expressiveness and tractability in probabilistic modeling, such as sum-product networks.
- June 9, 2018
Our paper, Hybrid Generative-Discriminative Training of Gaussian Mixture Models, with Wolfgang Roth, Robert Peharz, Sebastian Tschiatschek, and Franz Pernkopf has been accepted at Pattern Recognition Letters.
- April 3, 2018
I started my Marie Skłodowska-Curie project Hybrid Learning Systems utilizing Sum-Product Networks (HYBSPN).
- March 15, 2018
I’m presenting Sum-Product Networks for Deep Probabilistic Modeling at CamAIML hosted by Microsoft Research, Cambridge, UK.
- January 29, 2018
My application for a Marie Skłodowska-Curie Individual Fellowship (granted by the European Commission, H2020) was successful!
- November 8, 2017
Our paper, Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks, with Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, and Floriana Esposito, has been accepted at AAAI.
- June 12, 2017
Our paper Safe Semi-Supervised Learning of Sum-Product Networks, with Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, and Robert Trappl, has been accepted at UAI.