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2020 – today
- 2023
[c1]Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. AAAI 2023: 4052-4060- [i10]Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck:
Compact Optimization Learning for AC Optimal Power Flow. CoRR abs/2301.08840 (2023) - [i9]Seonho Park, Pascal Van Hentenryck:
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow. CoRR abs/2311.18072 (2023) - 2022
- [j3]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(7-9): 735-752 (2022) - [j2]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: 9430919:1-9430919:12 (2022) - [i8]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 abs/2204.00950 (2022) - [i7]Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. CoRR abs/2208.09046 (2022) - [i6]Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck:
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR abs/2211.15755 (2022) - 2021
- [i5]Seonho Park, Panos M. Pardalos:
Deep Data Density Estimation through Donsker-Varadhan Representation. CoRR abs/2104.06612 (2021) - [i4]Seonho Park, Maciej Rysz, Kathleen M. Dipple, Panos M. Pardalos:
Homography augumented momentum constrastive learning for SAR image retrieval. CoRR abs/2109.10329 (2021) - [i3]Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR abs/2112.13469 (2021) - 2020
- [j1]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): 953-971 (2020) - [i2]Seonho Park, George Adosoglou, Panos M. Pardalos:
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection. CoRR abs/2005.01889 (2020)
2010 – 2019
- 2019
- [i1]Seonho Park, Seung-Hyun Jung, Panos M. Pardalos:
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. CoRR abs/1906.11417 (2019)
Coauthor Index
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