Ryu, Jongha Jon

7 publications

ICML 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell

NeurIPS 2025 Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong, Jongha Jon Ryu, Se-Young Yun, Gregory W. Wornell

NeurIPS 2025 Revisiting Orbital Minimization Method for Neural Operator Decomposition Jongha Jon Ryu, Samuel Zhou, Gregory W. Wornell

ICML 2025 Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell

ICML 2024 Gambling-Based Confidence Sequences for Bounded Random Vectors Jongha Jon Ryu, Gregory W. Wornell

ICMLW 2024 Lifted Residual Score Estimation Tejas Jayashankar, Jongha Jon Ryu, Xiangxiang Xu, Gregory W. Wornell

ICML 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell