1 code implementation • 21 Nov 2023 • Daesoo Lee, Sara Malacarne, Erlend Aune
We present a novel time series anomaly detection method that achieves excellent detection accuracy while offering a superior level of explainability.
Ranked #1 on Time Series Anomaly Detection on UCR Anomaly Archive
no code implementations • 3 Nov 2023 • Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
Creating accurate and geologically realistic reservoir facies based on limited measurements is crucial for field development and reservoir management, especially in the oil and gas sector.
1 code implementation • 14 Sep 2023 • Daesoo Lee, Erlend Aune, Sara Malacarne
ESS explicitly ensures both sample diversity and fidelity, and consists of three stages: Naive Iterative Decoding, Critical Reverse Sampling, and Critical Resampling.
2 code implementations • 8 Mar 2023 • Daesoo Lee, Sara Malacarne, Erlend Aune
Time series generation (TSG) studies have mainly focused on the use of Generative Adversarial Networks (GANs) combined with recurrent neural network (RNN) variants.
no code implementations • 30 Aug 2022 • Espen Haugsdal, Erlend Aune, Massimiliano Ruocco
We also compare against existing recently proposed Transformer models for time series forecasting, showing superior performance on the M4 dataset.
1 code implementation • 6 Apr 2022 • Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik
This study shows that a combination of a VICReg-style method and TNC is very effective for SSL on non-stationary time series, where a non-stationary seismic signal time series is used as an evaluation dataset.
1 code implementation • 2 Sep 2021 • Daesoo Lee, Erlend Aune
Our method improves on a \textit{covariance} term proposed in VICReg, and in addition we augment the head of the architecture by an iterative normalization layer that accelerates the convergence of the model.
no code implementations • 4 Sep 2019 • Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
In stream-based AL, observations are continuously made available to the learner that have to decide whether to request a label or to make a prediction.
1 code implementation • 4 Dec 2018 • Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
In this work we combine these two extensions in a joint model for the tasks of recommendation and return-time prediction.