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Park, Jung Yeon

  1. Learning Symmetric Embeddings for Equivariant World Models
    2022/04/24 by Jung Yeon Park, Ondřej Bíža, Park, Jung Yeon +7 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Morphological variations and asymmetry
  2. A General Theory of Correct, Incorrect, and Extrinsic Equivariance
    2023/03/08 by Dian Wang, Xupeng Zhu, Wang, Dian +7 · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Topic Modeling
  3. Approximate Equivariance in Reinforcement Learning
    2024/11/06 by Jung Yeon Park, Sujay Bhatt, Park, Jung Yeon +11 · 4 citations
    Computer Science · #Reinforcement Learning in Robotics
  4. Robust Imitation of a Few Demonstrations with a Backwards Model
    2022/10/17 by Jung Yeon Park, Lawson L. S. Wong, Park, Jung Yeon +1 · 1 citation
    Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Model Reduction and Neural Networks
  5. The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
    2022/11/16 by Wang, Dian, Park, Jung Yeon, Sortur, Neel +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)