Seonho Park

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Anomaly Detection

Convex Optimization

Optimal Power Flow

Constrained Optimization

Top Venues

Ann. Math. Artif. Intell.

J. Optim. Theory Appl.

Publications

Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck
Compact Optimization Learning for AC Optimal Power Flow. CoRR (2023)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Primal-Dual Learning for Constrained Optimization. AAAI (2023)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow. CoRR (2023)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Primal-Dual Learning for Constrained Optimization. CoRR (2022)
Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao
Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR (2022)
Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR (2022)
George Adosoglou, Seonho Park, Gianfranco Lombardo, Stefano Cagnoni, Panos M. Pardalos
Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models. Complex. 2022 (2022)
Seonho Park, George Adosoglou, Panos M. Pardalos
Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection. Ann. Math. Artif. Intell. 90 (7) (2022)
Seonho Park, Panos M. Pardalos
Deep Data Density Estimation through Donsker-Varadhan Representation. CoRR (2021)
Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR (2021)
Seonho Park, Maciej Rysz, Kathleen M. Dipple, Panos M. Pardalos
Homography augumented momentum constrastive learning for SAR image retrieval. CoRR (2021)
Seonho Park, George Adosoglou, Panos M. Pardalos
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection. CoRR (2020)
Seonho Park, Seung-Hyun Jung, Panos M. Pardalos
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. J. Optim. Theory Appl. 184 (3) (2020)
Seonho Park, Seung-Hyun Jung, Panos M. Pardalos
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. CoRR (2019)