44 citations · 96 across the 8 of their papers we have counts for
4 papers · 1 filter
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
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. Our proposed method, TimeVQVAE…
Latent Diffusion Model for Conditional Reservoir Facies Generation
Daesoo Lee, Oscar Ovanger, Jo Eidsvik +3
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…
Masked Generative Modeling with Enhanced Sampling Scheme
Daesoo Lee, Erlend Aune, Sara Malacarne
This paper presents a novel sampling scheme for masked non-autoregressive generative modeling. We identify the limitations of TimeVQVAE, MaskGIT, and Token-Critic in their sampling…
Vector Quantized Time Series Generation with a Bidirectional Prior Model
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. However, the fu…