I am currently a PhD student working on probabilistic deep generative models with Prof. Ole Winther at DTU Compute in Copenhagen, Denmark. I also work part-time at the start-up raffle.ai, developing corporate virtual assistants using information retrieval, natural language processing and deep learning.
For more details, see my full CV.
I am interested in probabilistic machine learning methods, including the development and evaluation of probabilistic models, as well as design of approximate inference methods.
|Jun 12, 2020||I will give a lecture on normalizing flows and PixelCNNs at the Nordic Probabilistic AI School.|
|Feb 18, 2020||I will be a reviewer for ICML 2020.|
|Feb 10, 2020||New paper Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow out.|
|Jan 13, 2020||From Jan-May I will be visiting AMLAB at the University of Amsterdam, working with Prof. Max Welling.|
|Dec 11, 2019||New workshop paper on PixelCNN as a Single-Layer Flow out. Will be presented at the Bayesian Deep Learning Workshop at NeurIPS 2019.|