Dong-Young Lim
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Keywords
neural differential equation
(4)
irregular time series
(2)
time series classification
(2)
stochastic differential equation
(2)
convergence analysis
(2)
deep learning model
(1)
dropout regularization
(1)
physics-informed neural network
(1)
partial differential equation
(1)
neural ordinary differential equation
(1)
loss function
(1)
neural flow
(1)
langevin algorithm
(1)
predictive uncertainty
(1)
invertible flow
(1)
adaptive optimizer
(1)
continuous dynamics
(1)
numerical method
(1)
data interpolation
(1)
control path
(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
Comprehensive Review of Neural Differential Equations for Time Series Analysis
IJCAI 2025
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
AAAI 2025
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
NeurIPS 2024
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks
JMLR 2024