Daesoo Lee

13 papers A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2025	J	`jnl`	Latent diffusion model for conditional reservoir facies generation. Comput. Geosci. Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2024	J	`jnl`	Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation. CoRR Johan Vik Mathisen, Erlend Lokna, Daesoo Lee, Erlend Aune
2024	J	`jnl`	Explainable time series anomaly detection using masked latent generative modeling. Pattern Recognit. Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Explainable Anomaly Detection using Masked Latent Generative Modeling. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Latent Diffusion Model for Conditional Reservoir Facies Generation. CoRR Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge
2023	J	`jnl`	Masked Generative Modeling with Enhanced Sampling Scheme. CoRR Daesoo Lee, Erlend Aune, Sara Malacarne
2023	A	`conf`	Vector Quantized Time Series Generation with a Bidirectional Prior Model. AISTATS Daesoo Lee, Sara Malacarne, Erlend Aune
2023	J	`jnl`	Vector Quantized Time Series Generation with a Bidirectional Prior Model. CoRR Daesoo Lee, Sara Malacarne, Erlend Aune
2022	J	`jnl`	Better Reasoning Behind Classification Predictions with BERT for Fake News Detection. CoRR Daesoo Lee
2022	J	`jnl`	VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. CoRR Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik
2021	J	`jnl`	Reinforcement Learning-Based Automatic Berthing System. CoRR Daesoo Lee
2021	J	`jnl`	VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. CoRR Daesoo Lee, Erlend Aune