Variable bandwidth diffusion kernels T Berry, J Harlim Applied and Computational Harmonic Analysis 40 (1), 68-96, 2016 | 102 | 2016 |

Nonparametric forecasting of low-dimensional dynamical systems T Berry, D Giannakis, J Harlim Physical Review E 91 (3), 032915, 2015 | 82 | 2015 |

Time-scale separation from diffusion-mapped delay coordinates T Berry, JR Cressman, Z Greguric-Ferencek, T Sauer SIAM Journal on Applied Dynamical Systems 12 (2), 618-649, 2013 | 77 | 2013 |

Local kernels and the geometric structure of data T Berry, T Sauer Applied and Computational Harmonic Analysis 40 (3), 439-469, 2016 | 65 | 2016 |

Adaptive ensemble Kalman filtering of non-linear systems T Berry, T Sauer Tellus A: Dynamic Meteorology and Oceanography 65 (1), 20331, 2013 | 62 | 2013 |

Ensemble Kalman filtering without a model F Hamilton, T Berry, T Sauer Physical Review X 6 (1), 011021, 2016 | 57 | 2016 |

Real-time tracking of neuronal network structure using data assimilation F Hamilton, T Berry, N Peixoto, T Sauer Physical Review E 88 (5), 052715, 2013 | 49 | 2013 |

Linear theory for filtering nonlinear multiscale systems with model error T Berry, J Harlim Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 44 | 2014 |

Detecting connectivity changes in neuronal networks T Berry, F Hamilton, N Peixoto, T Sauer Journal of neuroscience methods 209 (2), 388-397, 2012 | 34 | 2012 |

Consistent manifold representation for topological data analysis T Berry, T Sauer arXiv preprint arXiv:1606.02353, 2016 | 32 | 2016 |

Predicting chaotic time series with a partial model F Hamilton, T Berry, T Sauer Physical Review E 92 (1), 010902, 2015 | 25 | 2015 |

Correcting biased observation model error in data assimilation T Berry, J Harlim Monthly Weather Review 145 (7), 2833-2853, 2017 | 23 | 2017 |

Density estimation on manifolds with boundary T Berry, T Sauer Computational Statistics & Data Analysis 107, 1-17, 2017 | 23 | 2017 |

Forecasting turbulent modes with nonparametric diffusion models: Learning from noisy data T Berry, J Harlim Physica D: Nonlinear Phenomena 320, 57-76, 2016 | 22 | 2016 |

Outer approximation of the spectrum of a fractal Laplacian T Berry, SM Heilman, RS Strichartz Experimental Mathematics 18 (4), 449-480, 2009 | 21 | 2009 |

Kalman-Takens filtering in the presence of dynamical noise F Hamilton, T Berry, T Sauer The European Physical Journal Special Topics 226 (15), 3239-3250, 2017 | 18 | 2017 |

Iterated diffusion maps for feature identification T Berry, J Harlim Applied and Computational Harmonic Analysis 45 (1), 84-119, 2018 | 16 | 2018 |

Nonparametric uncertainty quantification for stochastic gradient flows T Berry, J Harlim SIAM/ASA Journal on Uncertainty Quantification 3 (1), 484-508, 2015 | 13 | 2015 |

Semiparametric modeling: correcting low-dimensional model error in parametric models T Berry, J Harlim Journal of Computational Physics 308, 305-321, 2016 | 12 | 2016 |

Fractional diffusion maps H Antil, T Berry, J Harlim Applied and Computational Harmonic Analysis 54, 145-175, 2021 | 7 | 2021 |