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

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Research Output

  • 3 Conference contribution
  • 3 Article

Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains

Ko, C. Y., Chen, C., He, Z., Zhang, Y., Batselier, K. & Wong, N., 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 7, p. 2665-2671

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 1 Downloads (Pure)

    Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains

    Ko, C. Y., Batselier, K., Daniel, L., Yu, W. & Wong, N., 2020, In : IEEE Transactions on Image Processing. 29, p. 6918-6931

    Research output: Contribution to journalArticleScientificpeer-review

  • Nonlinear system identification with regularized Tensor Network B-splines

    Karagoz, R. & Batselier, K., 2020, In : Automatica. 122, 9 p., 109300.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 1 Downloads (Pure)

    A Support Tensor Train Machine

    Chen, C., Batselier, K., Ko, C. Y. & Wong, N., 2019, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019). Piscataway, NJ, USA: IEEE, 8 p. N-20155

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 16 Downloads (Pure)

    Matrix Product Operator Restricted Boltzmann Machines

    Chen, C., Batselier, K., Ko, C. Y. & Wong, N., 2019, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019). Piscataway, NJ, USA: IEEE, 8 p. N-20160

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 16 Downloads (Pure)