YongKyung Oh
6 papers · 2022–2026 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π
Conference Polyglot
(3)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Cross-Pollinator
(10)
Conferences
AAAI (3)
IJCAI (2)
ICLR (1)
Top co-authors
Keywords
neural differential equation
(4)
time series classification
(2)
irregular time series
(2)
monte carlo sampling
(1)
dropout regularization
(1)
multivariate time series
(1)
convolutional neural network
(1)
neural ordinary differential equation
(1)
stochastic differential equation
(1)
neural flow
(1)
predictive uncertainty
(1)
invertible flow
(1)
continuous dynamics
(1)
numerical method
(1)
data interpolation
(1)
control path
(1)
time series analysis
(1)
alternating renewal process
(1)
manifold learning
(1)
transfer learning
(1)
Papers
Continuum Dropout for Neural Differential Equations
AAAI 2026
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
AAAI 2026
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
AAAI 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis
IJCAI 2025
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
ICLR 2024
Multivariate Times Series Classification Using Multichannel CNN
IJCAI 2022