Nicholas Marshall



Nicholas F. Marshall
Department of Mathematics
Princeton University
Fine Hall
Washington Road
Princeton, NJ 08544

Office: Fine 213



  1. arXiv:1910.10006
    Image recovery from rotational and translational invariants
    with Ti-Yen Lan, Tamir Bendory, and Amit Singer
    ICASSP (2020):5780--5784.

  2. arXiv:1910.04201
    Randomized mixed Hölder function approximation in higher-dimensions

  3. 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 49 no. 3 (2020):815--830.

  4. arXiv:1902.06633
    A Cheeger inequality for graphs based on a reflection principle
    with Edward Gelernt, Diana Halikias, and Charles Kenney
    Involve 13 no. 3, (2020)475--486.

  5. arXiv:1810.00823
    Approximating mixed Hölder functions using random samples
    Annals of Applied Probability 29 no. 5 (2019):2988--3005.

  6. arXiv:1711.06711
    Manifold learning with bi-stochastic kernels
    with Raphy Coifman
    IMA Journal of Applied Mathematics 84 no. 3 (2019): 455--482.

  7. arXiv:1707.00682
    Stretching convex domains to capture many lattice points
    International Mathematics Research Notices 2020 no. 10 (2020):2918--2951.

  8. arXiv:1706.04170
    Triangles capturing many lattice points
    with Stefan Steinerberger
    Mathematika, 64 no. 2 (2018):551--582.

  9. arXiv:1704.02962
    The Stability of the First Neumann Laplacian Eigenfunction Under Domain Deformations and Applications
    Applied and Computational Harmonic Analysis (to appear), 2019.

  10. arXiv:1608.03628
    Time Coupled Diffusion Maps
    with Matthew Hirn
    Applied and Computational Harmonic Analysis, 45 no. 3 (2018):709--728.

  11. arXiv:1607.05235
    Extracting Geography from Trade Data
    with Yuke Li, Tianhao Wu, and Stefan Steinerberger
    Physica A, 473 (2017):205--212.