ML Anthology

Park, Frank

8 publications

NeurIPS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank Park
NeurIPS 2023 Variational Weighting for Kernel Density Ratios Sangwoong Yoon, Frank Park, Gunsu Yun, Iljung Kim, Yung-Kyun Noh
NeurIPS 2022 A Reparametrization-Invariant Sharpness Measure Based on Information Geometry Cheongjae Jang, Sungyoon Lee, Frank Park, Yung-Kyun Noh
ICML 2022 A Statistical Manifold Framework for Point Cloud Data Yonghyeon Lee, Seungyeon Kim, Jinwon Choi, Frank Park
ICML 2021 Autoencoding Under Normalization Constraints Sangwoong Yoon, Yung-Kyun Noh, Frank Park
NeurIPS 2021 Neighborhood Reconstructing Autoencoders Yonghyeon Lee, Hyeokjun Kwon, Frank Park
NeurIPS 2017 Generative Local Metric Learning for Kernel Regression Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank Park, Daniel D Lee
NeurIPS 2012 Diffusion Decision Making for Adaptive K-Nearest Neighbor Classification Yung-kyun Noh, Frank Park, Daniel D. Lee