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Jaemin Cho
AI2
I do research on sequence modeling with machine learning. In particular, I am interested in developing reliable generative models for language, music and dance. Most recently, I was a visiting scholar at SNU Music & Audio Research Group (advisor: Kyogu Lee), an AI resident at NAVER Clova (advisor: Minjoon Seo), and a research intern at SNU Vision & Learning Lab (advisor: Gunhee Kim).
News
- “Mixture Content Selection for Diverse Sequence Generation” has been accepted to EMNLP 2019.
Interests
- Sequence Modeling
- Generative Model
- Machine Learning
Education
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BS. in Industrial Engineering, 2018
Seoul National University
