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Kyunghyun Cho

Assistant Professor of Computer Science and Data Science

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    Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

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    Recurrent neural networks Engineering & Materials Science
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    Boltzmann Machine Mathematics
    Machine Translation Mathematics
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    Image denoising Engineering & Materials Science
    Supervised learning Engineering & Materials Science
    Experiments Engineering & Materials Science

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    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

    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

    Normal distribution
    Neural networks
    neural network

    Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

    Shen, Y., Wu, N., Phang, J., Park, J., Kim, G., Moy, L., Cho, K. & Geras, K. J., Jan 1 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer , p. 18-26 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

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

    Breast Cancer
    Medical Image Analysis
    Saliency Map

    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
    machine learning

    Sequential graph dependency parser

    Welleck, S. & Cho, K., Jan 1 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (eds.). Incoma Ltd, p. 1338-1345 8 p. (International Conference Recent Advances in Natural Language Processing, RANLP; vol. 2019-September).

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

    Open Access