Background and activities

I have a strong interest for creative use of machine learning/statistical modeling for specific applications. Examples of modeling frameworks and applications I work within are:

  • Generative modeling (diffusion modeling, GANs)
  • Representation learning
  • Active Learning
  • Modeling of time series
    • Forecasting
    • Synthetic data generation
    • Imputation/denoising
  • Machine learning with food
  • Content extraction and relation extraction from text using machine learning

My primary position is Research Scientist at Abelee, and I am also the founder (with Gudmund Hermansen) of Oslo Data Science Meetup.

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications

Part of book/report

  • Vassøy, Bjørnar; Ruocco, Massimiliano; de Souza da Silva, Eliezer; Aune, Erlend. (2019) Time is of the essence: A joint Hierarchical RNN and Point Process model for time and item predictions. WIMS2019 Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics.

Report/dissertation

  • Aune, Erlend. (2012) Computation and modeling for high dimensional Gaussian distributions. Norges teknisk-naturvitenskapelige universitet. 2012.