Search Results for author: Tae-Yoon Kim

Found 4 papers, 1 papers with code

Analog Seizure Detection for Implanted Responsive Neurostimulation

no code implementations11 Jun 2021 Abbas A. Zaki, Noah C. Parker, Tae-Yoon Kim, Sam Ishak, Ty E. Stovall, Genchang Peng, Hina Dave, Jay Harvey, Mehrdad Nourani, Xuan Hu, Alexander J. Edwards, Joseph S. Friedman

Similarly, power calculations were performed, demonstrating that the system uses $6. 5 \mu W$ per channel, which when compared to the state-of-the-art NeuroPace system would increase battery life by up to $50 \%$.

Bayesian Inference Seizure Detection

SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

no code implementations22 Sep 2020 Hwaran Lee, Seokhwan Jo, HyungJun Kim, SangKeun Jung, Tae-Yoon Kim

To our best knowledge, our work is the first comprehensive study of a modularized E2E multi-domain dialog system that learning from each component to the entire dialog policy for task success.

reinforcement-learning reinforcement Learning

Stochastic Doubly Robust Gradient

no code implementations21 Dec 2018 Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung-Kwon Lee, Tae-Yoon Kim

When training a machine learning model with observational data, it is often encountered that some values are systemically missing.


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