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Sookyung Kim
Sookyung Kim
PARC (Palo Alto Research Center)
Dirección de correo verificada de parc.com - Página principal
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Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
BK Petersen, M Landajuela, TN Mundhenk, CP Santiago, SK Kim, JT Kim
arXiv preprint arXiv:1912.04871, 2019
3952019
Reliable and explainable machine-learning methods for accelerated material discovery
B Kailkhura, B Gallagher, S Kim, A Hiszpanski, TYJ Han
npj Computational Materials 5 (1), 108, 2019
1632019
Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
G Camps-Valls, D Tuia, XX Zhu, M Reichstein
John Wiley & Sons, 2021
1592021
Discovering symbolic policies with deep reinforcement learning
M Landajuela, BK Petersen, S Kim, CP Santiago, R Glatt, N Mundhenk, ...
International Conference on Machine Learning, 5979-5989, 2021
1222021
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events
S Kim, H Kim, J Lee, S Yoon, SE Kahou, K Kashinath, M Prabhat
Winter conference of Applications of Computer Vision (WACV) 2019, 2019
1112019
Multi-image super-resolution for remote sensing using deep recurrent networks
MR Arefin, V Michalski, PL St-Charles, A Kalaitzis, S Kim, SE Kahou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
822020
Personalized academic research paper recommendation system
J Lee, K Lee, JG Kim
arXiv preprint arXiv:1304.5457, 2013
822013
Vid-ode: Continuous-time video generation with neural ordinary differential equation
S Park, K Kim, J Lee, J Choo, J Lee, S Kim, E Choi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2412-2422, 2021
642021
Potential role of urban forest in removing PM2. 5: A case study in Seoul by deep learning with satellite data
A Lee, S Jeong, J Joo, CR Park, J Kim, S Kim
Urban Climate 36, 100795, 2021
312021
Improving exploration in policy gradient search: Application to symbolic optimization
M Landajuela, BK Petersen, SK Kim, CP Santiago, R Glatt, TN Mundhenk, ...
arXiv preprint arXiv:2107.09158, 2021
242021
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM
S Kim, J Lee,M, J Lee, J Seo
Climate Informatics 2018, https://arxiv.org/abs/1901.10106, 2018
232018
Personalized academic paper recommendation system
J Lee, K Lee, JG Kim, S Kim
SRS’15, 2015
202015
Density functional theory calculations of magnetocrystalline anisotropy energies for (Fe1–xCox)2B
LXB Markus Däne, Soo Kyung Kim, Michael P Surh, Daniel Åberg
Journal of Physics: Condensed Matter 27 (26), 2015
192015
Massive scale deep learning for detecting extreme climate events
SK Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams
Climate Informatics 5, 2017
152017
Resolution reconstruction of climate data with pixel recursive model
S Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams
2017 IEEE international conference on data mining workshops (ICDMW), 313-321, 2017
132017
An Interactive Visualization Platform for Deep Symbolic Regression
JT Kim, S Kim, BK Petersen
Proceedings of the International Joint Conferences on Artificial …, 2020
122020
Physics-guided Reinforcement Learning for 3D Molecular Structures
Y Cho, S Kim, PP Li, MP Surh, TYJ Han, J Choo
Workshop on Neurips 2019, Machine Learning and the Physical Sciences, https …, 2019
92019
Learning to Focus and Track Extreme Climate Events.
S Kim, S Park, S Chung, J Lee, Y Lee, H Kim, M Prabhat, J Choo
BMVC, 11, 2019
82019
Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning
J Kim, J Jung, S Kim, S Han
Computational Materials Science 234, 112783, 2024
72024
A domain-independent agent architecture for adaptive operation in evolving open worlds
S Mohan, W Piotrowski, R Stern, S Grover, S Kim, J Le, Y Sher, J de Kleer
Artificial Intelligence, 104161, 2024
52024
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