Publications
2023
- ESPRRoles of ambient temperature and relative humidity on the relationship between fine particulate matter and gaseous pollutants in the largest industrial city of Ulsan, South KoreaEnvironmental Science and Pollution Research 2023
- TMLRLong-Tailed Visual Recognition with Global Contrastive Learning and Prototype LearningTMLR 2023
2022
2021
- AAAILearning Compositional Sparse Gaussian Processes with a Shrinkage PriorAAAI Conference on Artificial Intelligence (AAAI) 2021
- AAAICharacterized Deep Gaussian Processes via Nonlinear Recurrence SystemsAAAI Conference on Artificial Intelligence (AAAI) 2021
2019
- ICMLDiscovering Latent Covariance Structures for Multiple Time SeriesIn Proceedings of the 36th International Conference on Machine Learning (ICML) 2019
- ICML WorkshopExplain pathology in Deep Gaussian Process using Chaos TheoryICML 2019 Workshop on Theoretical Physics for Deep Learning 2019
- IJCAIConfirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian ProcessesInternational Joint Conference on Artificial Intelligence (IJCAI) 2019
2016
- StarAIAutomatic Generation of Probabilistic Programming from Time Series DataInternational Workshop on Statistical Relational AI (StarAI) 2016
- ICMLAutomatic Construction of Nonparametric Relational Regression Models for Multiple Time SeriesIn Proceedings of the 33nd International Conference on Machine Learning (ICML) 2016