Taeyoung Park

According to our database, Taeyoung Park authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Channel Normalization for Time Series Channel Identification.

Seunghan Lee, Taeyoung Park, Kibok Lee

CoRR, June, 2025

To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation.

Jungkyu Kim, Kibok Lee, Taeyoung Park

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Sequential Order-Robust Mamba for Time Series Forecasting.

Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung Park

CoRR, 2024

Partial Channel Dependence with Channel Masks for Time Series Foundation Models.

Seunghan Lee, Taeyoung Park, Kibok Lee

CoRR, 2024

ANT: Adaptive Noise Schedule for Time Series Diffusion Models.

Seunghan Lee, Kibok Lee, Taeyoung Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning to Embed Time Series Patches Independently.

Seunghan Lee, Taeyoung Park, Kibok Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Soft Contrastive Learning for Time Series.

Seunghan Lee, Taeyoung Park, Kibok Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Functional clustering methods for binary longitudinal data with temporal heterogeneity.

Jinwon Sohn, Seonghyun Jeong, Young Min Cho, Taeyoung Park

Comput. Stat. Data Anal., September, 2023

2022

Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines.

Seonghyun Jeong, Taeyoung Park, David A. Van Dyk

J. Comput. Graph. Stat., January, 2022

2019

Partially collapsed Gibbs sampling for latent Dirichlet allocation.

Hongju Park, Taeyoung Park, Yung-Seop Lee

Expert Syst. Appl., 2019

2017

Bayesian variable selection in Poisson change-point regression analysis.

Seunghyun Min, Taeyoung Park

Commun. Stat. Simul. Comput., 2017

Analysis of binary longitudinal data with time-varying effects.

Seonghyun Jeong, Minjae Park, Taeyoung Park

Comput. Stat. Data Anal., 2017

2016

Partially Collapsed Gibbs Sampling for Linear Mixed-effects Models.

Taeyoung Park, Seunghyun Min

Commun. Stat. Simul. Comput., 2016

2015

EM Estimation for Finite Mixture Models with Known Mixture Component Size.

Chen Teel, Taeyoung Park, Allan R. Sampson

Commun. Stat. Simul. Comput., 2015