33 citations · 52 across the 5 of their papers we have counts for
6 papers
GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection
Wonmo Koo, Jaeyeong Lee, Taeseong Yoon +1
Multivariate time series anomaly detection (MTAD) is crucial for ensuring the safe and reliable operation of complex systems. Many existing methods learn normal patterns by trainin…
Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes
Jaeyeong Lee, Taeseong Yoon, Wonmo Koo +1
Industrial processes often generate complex, interdependent time-series data from multiple sensors across multiple stages, forming complex dependencies among variables and process…
Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics
Jaeyeong Lee, Heeyoung Kim
Real-world spatio-temporal forecasting must handle irregular time points, spatially sparse observations, and the need for uncertainty quantification. This setting is often further…
Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction
Jaeyeong Lee, Wonmo Koo, Heeyoung Kim
Vessel trajectory prediction from Automatic Identification System (AIS) data is essential for maritime situational awareness, yet it remains challenging due to irregular sampling,…
Reconciling a quantum gravity minimal length with lack of photon dispersion
Michael Bishop, Joey Contreras, Jaeyeong Lee +1
Generic arguments lead to the idea that quantum gravity has a minimal length scale. A possible observational signal of such a minimal length scale is that photons should exhibit di…
Modified commutators are not sufficient to determine a quantum gravity minimal length scale
Michael Bishop, Jaeyeong Lee, Douglas Singleton
In quantum gravity it is generally thought that a modified commutator of the form is sufficient to give rise to a minimum length scale.…