Nicholas F. Marshall


Assistant Professor
Department of Mathematics
Oregon State University

Office: Kidder Hall 292
Email: [email protected]

Research interests

I am interested in problems that involve an interplay between analysis, geometry, and probability (especially such problems motivated by data science).



  1. arXiv:2212.14288
    From the binomial reshuffling model to Poisson distribution of money
    with Fei Cao

  2. arXiv:2210.17501
    Fast Principal Component Analysis for Cryo-EM Images
    with Oscar Mickelin, Yunpeng Shi and Amit Singer
    Biological Imaging (to appear)

  3. arXiv:2207.13674
    Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions
    with Oscar Mickelin and Amit Singer
    SIAM Journal on Scientific Computing (to appear)

  4. arXiv:2202.12224
    An optimal scheduled learning rate for a randomized Kaczmarz algorithm
    with Oscar Mickelin
    SIAM Journal on Matrix Analysis and Applications (to appear)

  5. arXiv:2201.13386
    On a linearization of quadratic Wasserstein distance
    with Philip Greengard , Jeremy Hoskins and Amit Singer

  6. arXiv:2107.14747
    A common variable minimax theorem for graphs
    with Ronald Coifman and Stefan Steinerberger
    Foundations of Computational Mathematics

  7. arXiv:2101.07709
    Multi-target detection with rotations
    with Tamir Bendory, Ti-Yen Lan, Iris Rukshin, and Amit Singer
    Inverse Problems and Imaging

  8. arXiv:1910.10006
    Image recovery from rotational and translational invariants
    with Tamir Bendory, Ti-Yen Lan, and Amit Singer

  9. arXiv:1910.04201
    Randomized mixed Hölder function approximation in higher-dimensions
    Technical Report

  10. arXiv:1907.03873
    A fast simple algorithm for computing the potential of charges on a line
    with Zydrunas Gimbutas and Vladimir Rokhlin
    Applied and Computational Harmonic Analysis

  11. arXiv:1902.06633
    A Cheeger inequality for graphs based on a reflection principle
    with Edward Gelernt, Diana Halikias, and Charles Kenney

  12. arXiv:1810.00823
    Approximating mixed Hölder functions using random samples
    Annals of Applied Probability

  13. arXiv:1711.06711
    Manifold learning with bi-stochastic kernels
    with Ronald Coifman
    IMA Journal of Applied Mathematics

  14. arXiv:1707.00682
    Stretching convex domains to capture many lattice points
    International Mathematics Research Notices

  15. arXiv:1706.04170
    Triangles capturing many lattice points
    with Stefan Steinerberger

  16. arXiv:1704.02962
    The Stability of the First Neumann Laplacian Eigenfunction Under Domain Deformations and Applications
    Applied and Computational Harmonic Analysis

  17. arXiv:1608.03628
    Time Coupled Diffusion Maps
    with Matthew Hirn
    Applied and Computational Harmonic Analysis

  18. arXiv:1607.05235
    Extracting Geography from Trade Data
    with Yuke Li, Tianhao Wu, and Stefan Steinerberger
    Physica A


Some short notes on various topics