Park, Jung Yeon

13 publications

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

ICLRW 2023 $\mathrm{SE}(3)$ Frame Equivariance in Dynamics Modeling and Reinforcement Learning Linfeng Zhao, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

NeurIPSW 2023 A Comparison of Equivariant Vision Models with ImageNet Pre-Training David Klee, Jung Yeon Park, Robert Platt, Robin Walters

NeurIPS 2023 A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters

ICMLW 2023 Can Euclidean Symmetry Help in Reinforcement Learning and Planning Linfeng Zhao, Owen Lewis Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

NeurIPS 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park, Lawson Wong, Robin Walters

NeurIPSW 2023 Symmetric Models for Radar Response Modeling Colin Kohler, Nathan Vaska, Ramya Muthukrishnan, Whangbong Choi, Jung Yeon Park, Justin Goodwin, Rajmonda Caceres, Robin Walters

ICLR 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L.S. Wong, Robin Walters, Robert Platt

NeurIPSW 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson Wong, Robin Walters, Robert Platt

ICML 2022 Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem Van De Meent, Robin Walters

NeurIPS 2022 Robust Imitation of a Few Demonstrations with a Backwards Model Jung Yeon Park, Lawson Wong

NeurIPSW 2020 Generator Surgery for Compressed Sensing Jung Yeon Park, Niklas Smedemark-Margulies, Mara Daniels, Rose Yu, Jan-Willem van de Meent, PAul HAnd

ICML 2020 Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park, Kenneth Carr, Stephan Zheng, Yisong Yue, Rose Yu