Yohan Jung

According to our database1, Yohan Jung authored at least 6 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission.
J. Comput. Graph. Stat., July, 2022

Efficient Approximate Inference for Stationary Kernel on Frequency Domain.
Proceedings of the International Conference on Machine Learning, 2022

2021
Implicit Kernel Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Approximate Inference for Spectral Mixture Kernel.
CoRR, 2020

Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.
CoRR, 2020


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