Dr Matthew Thorpe

Lecturer in Applied Mathematics

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Publications

  1. 2021
  2. Published

    Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A., Etmann, C., McCague, C., Beer, L., Weir-McCall, J., Teng, Z., Gkrania-Klotsas, E., AIX-COVNET, Rudd, J., Sala, E. & Schoenlieb, C-B., 15 Mar 2021, In: Nature Machine Intelligence. 3, p. 199-217

    Research output: Contribution to journalArticlepeer-review

  3. 2020
  4. Published

    Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms

    Dunlop, M., Slepcev, D., Stuart, A. M. & Thorpe, M., Sep 2020, In: Applied and Computational Harmonic Analysis. 49, 2, p. 655-697 43 p.

    Research output: Contribution to journalArticlepeer-review

  5. Published

    Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

    Calder, J., Cook, B., Thorpe, M. & Slepcev, D., 2020, Proceedings of the International Conference on Machine Learning. p. 8588--8598

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  6. 2019
  7. Published

    Analysis of p-Laplacian Regularization in Semi-Supervised Learning

    Slepcev, D. & Thorpe, M., 23 May 2019, In: SIAM Journal on Mathematical Analysis . 51, 3, p. 2085-2120

    Research output: Contribution to journalArticlepeer-review

  8. Published

    Asymptotic Analysis of the Ginzburg-Landau Functional on Point Clouds

    Thorpe, M. & Theil, F., 2019, In: Proceedings of the Royal Society of Edinburgh Section A: Mathematics. 149, 2, p. 387-427

    Research output: Contribution to journalArticlepeer-review

  9. 2018
  10. Published

    Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint

    Park, S. & Thorpe, M., 17 Dec 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. p. 7864-7872

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  11. Published

    Large Data Limit for a Phase Transition Model with the p-Laplacian on Point Clouds

    Cristoferi, R. & Thorpe, M., 14 Nov 2018, In: European Journal of Applied Mathematics. 31, 2, p. 185-231

    Research output: Contribution to journalArticlepeer-review

  12. Published

    Pointwise Convergence in Probability of General Smoothing Splines

    Thorpe, M. & Johansen, A., Aug 2018, In: Annals of the Institute of Statistical Mathematics. 70, 4, p. 717-744

    Research output: Contribution to journalArticlepeer-review

  13. 2017
  14. Published

    Optimal Mass Transport: Signal processing and machine-learning applications

    Kolouri, S., Park, S., Thorpe, M., Rohde, G. & Slepcev, D., Jul 2017, In: IEEE Signal Processing Magazine. 34, 4, p. 43-59

    Research output: Contribution to journalArticlepeer-review

  15. Published

    A Transportation L^p Distance for Signal Analysis

    Thorpe, M., Park, S., Kolouri, S., Rohde, G. & Slepcev, D., 2017, In: Journal of Mathematical Imaging and Vision. 59, 2, p. 187-210

    Research output: Contribution to journalArticlepeer-review

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Research output: Contribution to journalArticlepeer-review