Iterative numerical methods for sampling from high dimensional Gaussian distributions. - Erlend Aune; Jo Eidsvik; Yvo Pokern (Stat. Comput., 2013)

Parameter estimation in high dimensional Gaussian distributions. - Erlend Aune; Daniel P. Simpson; Jo Eidsvik (Stat. Comput., 2014)

Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. - Bjørnar Vassøy; Massimiliano Ruocco; Eliezer de Souza da Silva; Erlend Aune (WSDM, 2019)

Augmented Memory Networks for Streaming-Based Active One-Shot Learning. - Andreas Kvistad; Massimiliano Ruocco; Eliezer de Souza da Silva; Erlend Aune (CoRR, 2019)

VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. - Daesoo Lee; Erlend Aune (CoRR, 2021)

VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. - Daesoo Lee; Erlend Aune; Nadège Langet; Jo Eidsvik (CoRR, 2022)

Vector Quantized Time Series Generation with a Bidirectional Prior Model. - Daesoo Lee; Sara Malacarne; Erlend Aune (AISTATS, 2023)

Masked Generative Modeling with Enhanced Sampling Scheme. - Daesoo Lee; Erlend Aune; Sara Malacarne (CoRR, 2023)

Explainable Anomaly Detection using Masked Latent Generative Modeling. - Daesoo Lee; Sara Malacarne; Erlend Aune (CoRR, 2023)

Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. - Espen Haugsdal; Erlend Aune; Massimiliano Ruocco (Appl. Intell., 2023)

Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation. - Johan Vik Mathisen; Erlend Lokna; Daesoo Lee; Erlend Aune (CoRR, 2024)

Explainable time series anomaly detection using masked latent generative modeling. - Daesoo Lee; Sara Malacarne; Erlend Aune (Pattern Recognit., 2024)

Latent diffusion model for conditional reservoir facies generation. - Daesoo Lee; Oscar Ovanger; Jo Eidsvik; Erlend Aune; Jacob Skauvold; Ragnar Hauge (Comput. Geosci., 2025)

Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping. - Daesoo Lee; Sara Malacarne; Erlend Aune (CoRR, 2025)