| 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.
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| Jun 15, 2022 |
I held a 3-hour lecture on normalizing flows at the Nordic Probabilistic AI School in Helsinki, Finland.
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| 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.
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| Sep 27, 2021 |
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions accepted at NeurIPS 2021!
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| Jun 18, 2021 |
I held a 2-hour lecture on normalizing flows at the Nordic Probabilistic AI School.
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| Jan 24, 2021 |
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC accepted at AISTATS 2021!
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| 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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| Sep 25, 2020 |
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow accepted at NeurIPS 2020!
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| Sep 3, 2020 |
I gave a talk on SurVAE Flows at the AMLAB Seminar.
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| Jul 7, 2020 |
New paper SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows out.
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| Feb 10, 2020 |
New paper Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow out.
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| Jan 13, 2020 |
From Jan-May I will be visiting AMLAB at the University of Amsterdam, working with Prof. Max Welling.
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| 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.
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| Jan 18, 2019 |
I attended the Machine Learning Summer School in Stellenbosch, South Africa.
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| Jan 1, 2019 |
I enrolled as a PhD student at DTU Compute, working with Prof. Ole Winther.
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| 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.
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| Jul 12, 2018 |
New paper on Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models out. Will be presented at ISITA 2018.
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| Jun 28, 2018 |
I will be a TA in the two-day tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018.
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| Jun 13, 2018 |
New paper on Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam out. Will be presented at ICML 2018.
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| May 24, 2018 |
I gave a one-hour introduction to the field of Bayesian Deep Learning at the headquarters of Works Applications.
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| Nov 15, 2017 |
New paper on the Variational Adaptive Newton Method out.
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| 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.
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| Mar 21, 2017 |
I joined the Norwegian Computing Center as a researcher where I will solve research problems for industry using machine learning.
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| Feb 17, 2017 |
I officially obtained my MSc in Applied Physics and Mathematics from NTNU.
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| Dec 27, 2016 |
I submitted my MSc Thesis. A big thanks to my supervisor Prof. Håvard Rue.
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| Jun 13, 2016 |
I will be a summer intern at the Norwegian Computing Center, working on methods for automated fraud detection.
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| Jun 15, 2015 |
I will be a summer intern at the Energy Markets division at Norsk Hydro, developing trading strategies for energy markets.
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| Jun 9, 2014 |
I will be a summer intern at If P&C Insurance, analyzing customer behavior.
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