Dong-Young Lim

20 papers A* 5Journal 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Continuum Dropout for Neural Differential Equations.
AAAI
Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim
2026 A* conf
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.
AAAI
YongKyung Oh, Dong-Young Lim, Sungil Kim
2025 A* conf
Comprehensive Review of Neural Differential Equations for Time Series Analysis.
IJCAI
YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui
2025 J jnl
Comprehensive Review of Neural Differential Equations for Time Series Analysis.
CoRR
YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex Bui
2025 J jnl
Continuum Dropout for Neural Differential Equations.
CoRR
Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim
2025 J jnl
Controllable Machine Unlearning via Gradient Pivoting.
CoRR
Youngsik Hwang, Dong-Young Lim
2025 J jnl
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization.
CoRR
Youngjun Song, Youngsik Hwang, Jonghun Lee, Heechang Lee, Dong-Young Lim
2025 A* conf
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis.
AAAI
YongKyung Oh, Dong-Young Lim, Sungil Kim
2025 J jnl
Flatness-Aware Stochastic Gradient Langevin Dynamics.
CoRR
Stefano Bruno, Youngsik Hwang, Jaehyeon An, Sotirios Sabanis, Dong-Young Lim
2025 J jnl
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.
CoRR
YongKyung Oh, Dong-Young Lim, Sungil Kim
2025 J jnl
Langevin Dynamics Based Algorithm e-TH
Math. Oper. Res.
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2025 J jnl
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations.
CoRR
YongKyung Oh, Seungsu Kam, Dong-Young Lim, Sungil Kim
2025 J jnl
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification.
CoRR
YongKyung Oh, Dong-Young Lim, Sungil Kim, Alex A. T. Bui
2024 A* conf
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks.
NeurIPS
Youngsik Hwang, Dong-Young Lim
2024 J jnl
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks.
CoRR
Youngsik Hwang, Dong-Young Lim
2024 J jnl
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks.
J. Mach. Learn. Res.
Dong-Young Lim, Sotirios Sabanis
2023 J jnl
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates.
CoRR
Stefano Bruno, Ying Zhang, Dong-Young Lim, Ömer Deniz Akyildiz, Sotirios Sabanis
2022 J jnl
Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient.
CoRR
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2021 J jnl
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function.
CoRR
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2021 J jnl
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks.
CoRR
Dong-Young Lim, Sotirios Sabanis