Seonho Park - RankMe

15 papers A* 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep data density estimation through Donsker-Varadhan representation. Ann. Math. Artif. Intell. Seonho Park, Panos M. Pardalos
2023	J	`jnl`	Compact Optimization Learning for AC Optimal Power Flow. CoRR Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck
2023	J	`jnl`	Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow. CoRR Seonho Park, Pascal Van Hentenryck
2023	A*	`conf`	Self-Supervised Primal-Dual Learning for Constrained Optimization. AAAI Seonho Park, Pascal Van Hentenryck
2022	J	`jnl`	Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection. Ann. Math. Artif. Intell. Seonho Park, George Adosoglou, Panos M. Pardalos
2022	J	`jnl`	Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models. Complex. George Adosoglou, Seonho Park, Gianfranco Lombardo, Stefano Cagnoni, Panos M. Pardalos
2022	J	`jnl`	Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR 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
2022	J	`jnl`	Self-Supervised Primal-Dual Learning for Constrained Optimization. CoRR Seonho Park, Pascal Van Hentenryck
2021	J	`jnl`	Deep Data Density Estimation through Donsker-Varadhan Representation. CoRR Seonho Park, Panos M. Pardalos
2021	J	`jnl`	Homography augumented momentum constrastive learning for SAR image retrieval. CoRR Seonho Park, Maciej Rysz, Kathleen M. Dipple, Panos M. Pardalos
2021	J	`jnl`	Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
2020	J	`jnl`	Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. J. Optim. Theory Appl. Seonho Park, Seung-Hyun Jung, Panos M. Pardalos
2020	J	`jnl`	Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection. CoRR Seonho Park, George Adosoglou, Panos M. Pardalos
2019	J	`jnl`	Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization. CoRR Seonho Park, Seung-Hyun Jung, Panos M. Pardalos