A second order virtual node method for elliptic problems with interfaces and irregular domains J Bedrossian, JH Von Brecht, S Zhu, E Sifakis, JM Teran Journal of Computational Physics 229 (18), 6405-6426, 2010 | 91 | 2010 |

Predicting pattern formation in particle interactions JH Von Brecht, D Uminsky, T Kolokolnikov, AL Bertozzi Mathematical Models and Methods in Applied Sciences 22 (supp01), 1140002, 2012 | 89 | 2012 |

Multiclass total variation clustering X Bresson, T Laurent, D Uminsky, J Von Brecht Advances in Neural Information Processing Systems, 1421-1429, 2013 | 84 | 2013 |

Consistency of Cheeger and ratio graph cuts NG Trillos, D Slepčev, J Von Brecht, T Laurent, X Bresson The Journal of Machine Learning Research 17 (1), 6268-6313, 2016 | 67 | 2016 |

Convergence and energy landscape for Cheeger cut clustering X Bresson, T Laurent, D Uminsky, J Brecht Advances in Neural Information Processing Systems 25, 1385-1393, 2012 | 62 | 2012 |

Ring patterns and their bifurcations in a nonlocal model of biological swarms AL Bertozzi, T Kolokolnikov, H Sun, D Uminsky, J Von Brecht Communications in Mathematical Sciences 13 (4), 955-985, 2015 | 59 | 2015 |

On soccer balls and linearized inverse statistical mechanics JH von Brecht, D Uminsky Journal of nonlinear science 22 (6), 935-959, 2012 | 54 | 2012 |

Deep linear networks with arbitrary loss: All local minima are global T Laurent, J Brecht International conference on machine learning, 2902-2907, 2018 | 52 | 2018 |

Stability analysis of flock and mill rings for second order models in swarming G Albi, D Balagué, JA Carrillo, J von Brecht SIAM Journal on Applied Mathematics 74 (3), 794-818, 2014 | 50 | 2014 |

A recurrent neural network without chaos T Laurent, J von Brecht arXiv preprint arXiv:1612.06212, 2016 | 40 | 2016 |

Swarming on random graphs J von Brecht, T Kolokolnikov, AL Bertozzi, H Sun Journal of Statistical Physics 151 (1-2), 150-173, 2013 | 23 | 2013 |

The multilinear structure of ReLU networks T Laurent, J Brecht International Conference on Machine Learning, 2908-2916, 2018 | 22 | 2018 |

Variational inference in mixed probabilistic submodular models J Djolonga, S Tschiatschek, A Krause Advances in Neural Information Processing Systems, 1759-1767, 2016 | 22* | 2016 |

An adaptive total variation algorithm for computing the balanced cut of a graph X Bresson, T Laurent, D Uminsky, JH von Brecht arXiv preprint arXiv:1302.2717, 2013 | 17 | 2013 |

Algebraic connectivity of Erdös-Rényi graphs near the connectivity threshold T Kolokolnikov, B Osting, J Von Brecht Manuscript in preparation, 2014 | 15 | 2014 |

Deep linear neural networks with arbitrary loss: All local minima are global T Laurent, J Von Brecht arXiv preprint arXiv:1712.01473, 2017 | 9 | 2017 |

Estimating perimeter using graph cuts NG Trillos, D Slepčev, J Von Brecht Advances in Applied Probability 49 (4), 1067-1090, 2017 | 8 | 2017 |

Well-posedness theory for aggregation sheets JH Von Brecht, AL Bertozzi Communications in Mathematical Physics 319 (2), 451-477, 2013 | 8 | 2013 |

Anisotropic assembly and pattern formation JH von Brecht, DT Uminsky Nonlinearity 30 (1), 225, 2016 | 6 | 2016 |

Ring Patterns and their Bifurcations in a Nonlocal Model of Biological Swarms, to appear in Comm AL Bertozzi, J von Brecht, H Sun, T Kolokolnikov, D Uminsky Math. Sci, 2013 | 6 | 2013 |