Erlend Aune

Pattern Recognit., 2024

Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting.

[BibT_eX]

[DOI]

Espen Haugsdal

Massimiliano Ruocco

Appl. Intell., November, 2023

Explainable Anomaly Detection using Masked Latent Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Latent Diffusion Model for Conditional Reservoir Facies Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Masked Generative Modeling with Enhanced Sampling Scheme.

[BibT_eX]

[DOI]

CoRR, 2023

Vector Quantized Time Series Generation with a Bidirectional Prior Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series.

[BibT_eX]

[DOI]

CoRR, 2022

2021

VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series.

[BibT_eX]

[DOI]

Eliezer de Souza da Silva

CoRR, 2021

2019

Augmented Memory Networks for Streaming-Based Active One-Shot Learning.

[BibT_eX]

[DOI]

Andreas Kvistad

Massimiliano Ruocco

Eliezer de Souza da Silva

CoRR, 2019

Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions.

[BibT_eX]

[DOI]

Bjørnar Vassøy

Massimiliano Ruocco

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2014

Parameter estimation in high dimensional Gaussian distributions.

[BibT_eX]

[DOI]

Daniel P. Simpson

Jo Eidsvik

Stat. Comput., 2014

2013

Iterative numerical methods for sampling from high dimensional Gaussian distributions.

[BibT_eX]

[DOI]