Kyunghyun Cho

Assistant Professor of Computer Science and Data Science

20102019
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Fingerprint Dive into the research topics where Kyunghyun Cho is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Recurrent neural networks Engineering & Materials Science
Boltzmann Machine Mathematics
Neural networks Engineering & Materials Science
Machine Translation Mathematics
Computational linguistics Engineering & Materials Science
Computer aided language translation Engineering & Materials Science
Speech recognition Engineering & Materials Science
Image denoising Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

Conditional Molecular Design with Deep Generative Models

Kang, S. & Cho, K., Jan 28 2019, In : Journal of Chemical Information and Modeling. 59, 1, p. 43-52 10 p.

Research output: Contribution to journalArticle

Molecules
drug
learning
performance
Learning systems

Dialogwae: Multimodal response generation with conditional Wasserstein auto-encoder

Gu, X., Cho, K., Ha, J. W. & Kim, S., Jan 1 2019.

Research output: Contribution to conferencePaper

Signal encoding
Normal distribution
conversation
Neural networks
neural network

QCD-aware recursive neural networks for jet physics

Louppe, G., Cho, K., Becot, C. & Cranmer, K., Jan 1 2019, In : Journal of High Energy Physics. 2019, 1, 57.

Research output: Contribution to journalArticle

quantum chromodynamics
physics
sentences
momentum
machine learning

A comparison of audio signal preprocessing methods for deep neural networks on music tagging

Choi, K., Fazekas, G., Sandler, M. & Cho, K., Nov 29 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. European Signal Processing Conference, EUSIPCO, Vol. 2018-September. p. 1870-1874 5 p. 8553106

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments
Deep neural networks

Boundary-seeking generative adversarial networks

Hjelm, R. D., Jacob, A. P., Che, T., Trischler, A., Cho, K. & Bengio, Y., Jan 1 2018.

Research output: Contribution to conferencePaper

Natural language processing systems
Discriminators
conditioning
learning
Generative