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Kim, Taeyoung

  1. Bounding the Rademacher Complexity of Fourier neural operators
    2022/09/12 by Taeyoung Kim, Myungjoo Kang, Kim, Taeyoung +1 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
  2. Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
    2024/01/03 by Taeyoung Kim, Kim, Taeyoung, Myungjoo Kang +1 · 2 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Nuclear Engineering Thermal-Hydraulics
  3. An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
    2023/12/06 by Taeyoung Kim, Hongseok Yang, Kim, Taeyoung +1 · 1 citation
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and ELM #Neural Networks and Applications
  4. HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
    2025/10/01 by Koo, Myungkyu, Daewon Choi, Choi, Daewon +10 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Semantic Web and Ontologies
  5. Contrastive Representation Regularization for Vision-Language-Action Models
    2025/10/02 by Tae‐Young Kim, Jimin Lee, Kim, Taeyoung +13 · 1 citation
    Computer Science · #Multimodal Machine Learning Applications
  6. Mixed-Session Conversation with Egocentric Memory
    2024/10/03 by Jihyoung Jang, Jang, Jihyoung, Tae-Young Kim +3 · 1 citation
    Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods