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ORCIDJung Yeon Park
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2020 – today
- 2024
[i10]Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters:
Approximate Equivariance in Reinforcement Learning. CoRR abs/2411.04225 (2024)- [i9]Linfeng Zhao, Owen Howell, Xupeng Zhu, Jung Yeon Park, Zhewen Zhang, Robin Walters, Lawson L. S. Wong:
Equivariant Action Sampling for Reinforcement Learning and Planning. CoRR abs/2412.12237 (2024) - 2023
- [c8]Linghan Zhang
, Jung Yeon Park, Elizabeth T. Kwari:
Exploring Emotional and Physiological Reactions to Linguistic Racism: A Case Study in Higher Education. HCI (43) 2023: 529-535 - [c7]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR 2023 - [c6]Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters:
A General Theory of Correct, Incorrect, and Extrinsic Equivariance. NeurIPS 2023 - [c5]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. NeurIPS 2023 - [i8]Dian Wang, Xupeng Zhu, Jung Yeon Park, Robert Platt, Robin Walters:
A General Theory of Correct, Incorrect, and Extrinsic Equivariance. CoRR abs/2303.04745 (2023) - [i7]Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong:
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? CoRR abs/2307.08226 (2023) - [i6]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. CoRR abs/2310.19589 (2023) - 2022
- [c4]Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters:
Learning Symmetric Embeddings for Equivariant World Models. ICML 2022: 17372-17389 - [c3]Jung Yeon Park, Lawson L. S. Wong:
Robust Imitation of a Few Demonstrations with a Backwards Model. NeurIPS 2022 - [i5]Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters:
Learning Symmetric Embeddings for Equivariant World Models. CoRR abs/2204.11371 (2022) - [i4]Jung Yeon Park, Lawson L. S. Wong:
Robust Imitation of a Few Demonstrations with a Backwards Model. CoRR abs/2210.09337 (2022) - [i3]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. CoRR abs/2211.09231 (2022) - 2021
- [i2]Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand:
Generator Surgery for Compressed Sensing. CoRR abs/2102.11163 (2021) - 2020
- [j2]Pieter Vanneste, Yi Huang, Jung Yeon Park, Frederik Cornillie, Bart Decloedt, Wim van den Noortgate:
Cognitive support for assembly operations by means of augmented reality: an exploratory study. Int. J. Hum. Comput. Stud. 143: 102480 (2020) - [c2]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. ICML 2020: 7499-7509 - [i1]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. CoRR abs/2002.05578 (2020)
2010 – 2019
- 2019
- [j1]Konstantinos Pliakos, Seang-Hwane Joo, Jung Yeon Park, Frederik Cornillie, Celine Vens, Wim van den Noortgate:
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems. Comput. Educ. 137: 91-103 (2019) - [c1]Hyeong-Ook Kim, Se-Hyeon Park, Jung Yeon Park, James R. Morrison:
On the Consequences of Un-Modeled Dynamics to the Optimality of Schedules in Clustered Photolithography Tools. WSC 2019: 2224-2235
Coauthor Index
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