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stat.ML2020★ 2 cited
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
Young-Jin Park, Kyuyong Shin, Kyung-Min Kim
Graph representation learning is gaining popularity in a wide range of applications, such as social networks analysis, computational biology, and recommender systems. However, diff…
stat.ML2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
Young-Jin Park, Han-Lim Choi
The goal of system identification is to learn about underlying physics dynamics behind the time-series data. To model the probabilistic and nonparametric dynamics model, Gaussian p…