Jung Yeon Park

According to our database, Jung Yeon Park authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong

CoRR, 2023

A General Theory of Correct, Incorrect, and Extrinsic Equivariance.

Dian Wang, Xupeng Zhu, Jung Yeon Park, Robert Platt, Robin Walters

CoRR, 2023

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing.

Jung Yeon Park, Lawson L. S. Wong, Robin Walters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Emotional and Physiological Reactions to Linguistic Racism: A Case Study in Higher Education.

Linghan Zhang, Jung Yeon Park, Elizabeth T. Kwari

Proceedings of the HCI International 2023 Posters, 2023

2022

Robust Imitation of a Few Demonstrations with a Backwards Model.

Jung Yeon Park, Lawson L. S. Wong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Symmetric Embeddings for Equivariant World Models.

Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters

Proceedings of the International Conference on Machine Learning, 2022

2021

Generator Surgery for Compressed Sensing.

Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand

CoRR, 2021

2020

Cognitive support for assembly operations by means of augmented reality: an exploratory study.

Pieter Vanneste, Yi Huang, Jung Yeon Park, Frederik Cornillie, Bart Decloedt, Wim van den Noortgate

Int. J. Hum. Comput. Stud., 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.

Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems.

Konstantinos Pliakos, Seang-Hwane Joo, Jung Yeon Park, Frederik Cornillie, Celine Vens, Wim van den Noortgate

Comput. Educ., 2019

On the Consequences of Un-Modeled Dynamics to the Optimality of Schedules in Clustered Photolithography Tools.

Hyeong-Ook Kim, Se-Hyeon Park, Jung Yeon Park, James R. Morrison

Proceedings of the 2019 Winter Simulation Conference, 2019