2024

• Lee, Daesoo; Malacarne, Sara; Aune, Erlend. (2024) Explainable time series anomaly detection using masked latent generative modeling. Pattern Recognition
  Academic article

2023

• Haugsdal, Espen; Aune, Erlend; Ruocco, Massimiliano. (2023) Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Applied intelligence (Boston)
  Academic article
• Lee, Daesoo; Malacarne, Sara; Aune, Erlend. (2023) Vector Quantized Time Series Generation with a Bidirectional Prior Model. Proceedings of Machine Learning Research (PMLR)
  Academic article
• Lee, Daesoo; Ovanger, Oscar; Eidsvik, Jo; Aune, Erlend; Skauvold, Jacob; Hauge, Ragnar. (2023) Latent Diffusion Model for Conditional Reservoir Facies Generation. arXiv
  Academic article

2022

• Lee, Daesoo; Aune, Erlend; Langet, Nadege; Eidsvik, Jo. (2022) Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope. Mathematical Geosciences
  Academic literature review

2019

• 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. Association for Computing Machinery (ACM)
  Academic chapter/article/Conference paper

2013

• Aune, Erlend; Eidsvik, Jo; Pokern, Y. (2013) Iterative numerical methods for sampling from high dimensional Gaussian distributions. Statistics and computing
  Academic article
• Aune, Erlend; Eidsvik, Jo; Ursin, Bjørn. (2013) Three-dimensional non-stationary and non-linear isotropic AVA inversion. Geophysical Journal International
  Academic article

2012

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