Hyung Ju Hwang

Trans. Mach. Learn. Res., 2024

Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction.

[BibT_eX]

[DOI]

Patterns, 2024

Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data.

[BibT_eX]

[DOI]

Hyeontae Jo

CoRR, 2024

Sobolev Training for Operator Learning.

[BibT_eX]

[DOI]

Namkyeong Cho

Junseung Ryu

CoRR, 2024

Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids.

[BibT_eX]

[DOI]

CoRR, 2024

Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks.

[BibT_eX]

[DOI]

Rakhoon Hwang

Seungtae Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Concept-Oriented Self-Explaining Neural Networks.

[BibT_eX]

[DOI]

Min Sue Park

Neural Process. Lett., December, 2023

The deep minimizing movement scheme.

[BibT_eX]

[DOI]

J. Comput. Phys., December, 2023

opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation.

[BibT_eX]

[DOI]

Juhi Jang

J. Comput. Phys., May, 2023

Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs).

[BibT_eX]

[DOI]

Neurocomputing, 2023

Physics-Informed Neural Networks for Microprocessor Thermal Management Model.

[BibT_eX]

[DOI]

Hyunwoo Cho

IEEE Access, 2023

Anomaly Detection in Time Series Data and its Application to Semiconductor Manufacturing.

[BibT_eX]

[DOI]

IEEE Access, 2023

HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Local Stability of Wasserstein GANs With Abstract Gradient Penalty.

[BibT_eX]

[DOI]

Seungtae Park

IEEE Trans. Neural Networks Learn. Syst., 2022

NEAR: Neighborhood Edge AggregatoR for Graph Classification.

[BibT_eX]

[DOI]

Haeseong Moon

ACM Trans. Intell. Syst. Technol., 2022

Option compatible reward inverse reinforcement learning.

[BibT_eX]

[DOI]

Rakhoon Hwang

Hanjin Lee

Pattern Recognit. Lett., 2022

Prior preference learning from experts: Designing a reward with active inference.

[BibT_eX]

[DOI]

Jinyoung Shin

Neurocomputing, 2022

AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations.

[BibT_eX]

[DOI]

Jinyoung Shin

CoRR, 2022

Solving PDE-Constrained Control Problems Using Operator Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Traveling Wave Solutions of Partial Differential Equations Via Neural Networks.

[BibT_eX]

[DOI]

J. Sci. Comput., 2021

Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning.

[BibT_eX]

[DOI]

CoRR, 2021

Lagrangian dual framework for conservative neural network solutions of kinetic equations.

[BibT_eX]

[DOI]

CoRR, 2021

Sobolev Training for the Neural Network Solutions of PDEs.

[BibT_eX]

[DOI]

CoRR, 2021

Explainability of Machine Learning Models for Bankruptcy Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2021

Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Deep neural network approach to forward-inverse problems.

[BibT_eX]

[DOI]

Networks Heterog. Media, 2020

Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach.

[BibT_eX]

[DOI]

J. Comput. Phys., 2020

The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach.

[BibT_eX]

[DOI]

Jin Woo Jang

CoRR, 2020

Hybrid Model of Mathematical and Neural Network Formulations for Rolling Force and Temperature Prediction in Hot Rolling Processes.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Data analytic approach for bankruptcy prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

2018

The Fokker-Planck Equation with Absorbing Boundary Conditions in Bounded Domains.

[BibT_eX]

[DOI]

Juhi Jang

Jaewoo Jung

SIAM J. Math. Anal., 2018

Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN.

[BibT_eX]

[DOI]

Seungtae Park

CoRR, 2018

2016

Stability, Instability, and Bifurcation in Electrified Thin Films.

[BibT_eX]

[DOI]

Marco A. Fontelos

Youngmin Oh

SIAM J. Math. Anal., 2016

2015

Stationary Solutions of the Vlasov-Poisson System with Diffusive Boundary Conditions.

[BibT_eX]

[DOI]

Emre Esentürk

Walter A. Strauss

J. Nonlinear Sci., 2015

2013

Capillary oscillations at a circular orifice.

[BibT_eX]

[DOI]

Hyeon Jeong Kim

Marco A. Fontelos

Appl. Math. Lett., 2013

2007

Erratum: "Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement" [SIAM J. Math. Analysis 36 (2005) 1177-1199].

[BibT_eX]

[DOI]

Kyungkeun Kang

Angela Stevens

SIAM J. Math. Anal., 2007

2005

Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement.

[BibT_eX]

[DOI]

Kyungkeun Kang

Angela Stevens

SIAM J. Math. Anal., 2005

2004

Regularity for the Vlasov-Poisson System in a Convex Domain.

[BibT_eX]

[DOI]