May 22, 2023 
I joined twig.energy as a staff machine learning engineer where I will be developing machine learning models for trading in power markets – enabling higher revenues for producers and unlocking zero carbon power for consumers.

Jun 15, 2022 
I held a 3hour 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 NonBijective Layers after thorough examination by Rianne van den Berg, José Miguel HernándezLobato 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 2hour 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!

Sep 25, 2020 
Closing the Dequantization Gap: PixelCNN as a SingleLayer Flow accepted at NeurIPS 2020!

Sep 3, 2020 
I gave a talk on SurVAE Flows at the AMLAB Seminar.

Jul 7, 2020 
New paper SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows out.

Feb 10, 2020 
New paper Closing the Dequantization Gap: PixelCNN as a SingleLayer Flow out.

Jan 13, 2020 
From JanMay 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 SingleLayer Flow out. Will be presented at the Bayesian Deep Learning Workshop at NeurIPS 2019.

Jan 18, 2019 
I attended the Machine Learning Summer School in Stellenbosch, South Africa.

Jan 1, 2019 
I enrolled as a PhD student at DTU Compute, working with Prof. Ole Winther.

Sep 5, 2018 
New paper on SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient out. Will be presented at NeurIPS 2018.

Jul 12, 2018 
New paper on Fast yet Simple NaturalGradient Descent for Variational Inference in Complex Models out. Will be presented at ISITA 2018.

Jun 28, 2018 
I will be a TA in the twoday tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018.

Jun 13, 2018 
New paper on Fast and Scalable Bayesian Deep Learning by WeightPerturbation in Adam out. Will be presented at ICML 2018.

May 24, 2018 
I gave a onehour introduction to the field of Bayesian Deep Learning at the headquarters of Works Applications.

Nov 15, 2017 
New paper on the Variational Adaptive Newton Method out.

Mar 21, 2017 
I joined the RIKEN Center for Advanced Intelligence Project as a research assistant, where I will be working with Emtiyaz Khan in the Approximate Bayesian Inference Team.

Mar 21, 2017 
I joined the Norwegian Computing Center as a researcher where I will solve research problems for industry using machine learning.

Feb 17, 2017 
I officially obtained my MSc in Applied Physics and Mathematics from NTNU.

Dec 27, 2016 
I submitted my MSc Thesis. A big thanks to my supervisor Prof. Håvard Rue.

Jun 13, 2016 
I will be a summer intern at the Norwegian Computing Center, working on methods for automated fraud detection.

Jun 15, 2015 
I will be a summer intern at the Energy Markets division at Norsk Hydro, developing trading strategies for energy markets.

Jun 9, 2014 
I will be a summer intern at If P&C Insurance, analyzing customer behavior.
