Taejong Joo

Being Bayesian about Categorical Probability

Taejong Joo, U. Chung, Minji Seo, 2020, ICML.

Task Allocation in Human–Machine Manufacturing Systems Using Deep Reinforcement Learning

Dongmin Shin, Taejong Joo, Hyunyoung Jun, 2022, Sustainability.

An adaptive approach for determining batch sizes using the hidden Markov model

Dongmin Shin, Minji Seo, Taejong Joo, 2019, J. Intell. Manuf..

Regularizing activations in neural networks via distribution matching with the Wasserstein metric

Taejong Joo, Byunghoon Kim, Donggu Kang, 2020, ICLR.

An adaptive approach for determining batch sizes using the hidden Markov model

Taejong Joo, Minji Seo, Dong-Yeul Shin, 2017, Journal of Intelligent Manufacturing.

Formalizing Human–Machine Interactions for Adaptive Automation in Smart Manufacturing

Dongmin Shin, Taejong Joo, Dongmin Shin, 2019, IEEE Transactions on Human-Machine Systems.

Regularizing activations in neural networks via distribution matching with the Wassertein metric

Taejong Joo, Stein Metric, Donggu Kang, 2020, ICLR 2020.