About Me

Researcher at Norwegian Computing Center solving research problems for industry using machine learning.

Previously, I was working with Prof. Ole Winther on deep generative models at DTU Compute in Copenhagen and before that I worked with Emtiyaz Khan on approximate Bayesian inference at RIKEN AIP in Tokyo.

For more details, see my full CV or my Google Scholar.

Research Interests

I am interested in probabilistic machine learning methods and deep learning, including variational inference, deep generative models and neural architecture design.


Feb 7, 2022 I successfully defended my PhD on Normalizing Flows with Non-Bijective Layers after thorough examination by Rianne van den Berg, José Miguel Hernández-Lobato and Søren Hauberg. I am very grateful to my supervisor Prof. Ole Winther.
Sep 27, 2021 Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions accepted at NeurIPS 2021!
Jun 18, 2021 I held a lecture on normalizing flows at the Nordic Probabilistic AI School.
Jan 24, 2021 Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC accepted at AISTATS 2021!
Sep 25, 2020 SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows accepted for oral presentation at NeurIPS 2020!

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