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Daesoo Lee
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 10
Top Topics
Unsupervised Learning
Prior Model
Vector Quantized
Detecting Anomalous
Top Venues
CoRR
AISTATS
Pattern Recognit.
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Publications
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Daesoo Lee
,
Sara Malacarne
,
Erlend Aune
Explainable time series anomaly detection using masked latent generative modeling.
Pattern Recognit.
156 (2024)
Daesoo Lee
,
Sara Malacarne
,
Erlend Aune
Vector Quantized Time Series Generation with a Bidirectional Prior Model.
CoRR
(2023)
Daesoo Lee
,
Oscar Ovanger
,
Jo Eidsvik
,
Erlend Aune
,
Jacob Skauvold
,
Ragnar Hauge
Latent Diffusion Model for Conditional Reservoir Facies Generation.
CoRR
(2023)
Daesoo Lee
,
Sara Malacarne
,
Erlend Aune
Vector Quantized Time Series Generation with a Bidirectional Prior Model.
AISTATS
(2023)
Daesoo Lee
,
Erlend Aune
,
Sara Malacarne
Masked Generative Modeling with Enhanced Sampling Scheme.
CoRR
(2023)
Daesoo Lee
,
Sara Malacarne
,
Erlend Aune
Explainable Anomaly Detection using Masked Latent Generative Modeling.
CoRR
(2023)
Daesoo Lee
Better Reasoning Behind Classification Predictions with BERT for Fake News Detection.
CoRR
(2022)
Daesoo Lee
,
Erlend Aune
,
Nadège Langet
,
Jo Eidsvik
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series.
CoRR
(2022)
Daesoo Lee
,
Erlend Aune
VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series.
CoRR
(2021)
Daesoo Lee
Reinforcement Learning-Based Automatic Berthing System.
CoRR
(2021)