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.

News

Jun 15, 2022 I held a 3-hour lecture on normalizing flows at the Nordic Probabilistic AI School in Helsinki, Finland.
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 2-hour 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!

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