Stable architectures for deep neural networks E Haber, L Ruthotto Inverse problems 34 (1), 014004, 2017 | 395 | 2017 |

On optimization techniques for solving nonlinear inverse problems E Haber, UM Ascher, D Oldenburg Inverse problems 16 (5), 1263, 2000 | 363 | 2000 |

Joint inversion: a structural approach E Haber, D Oldenburg Inverse problems 13 (1), 63, 1997 | 336 | 1997 |

Intensity gradient based registration and fusion of multi-modal images E Haber, J Modersitzki International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 242 | 2006 |

Deep neural networks motivated by partial differential equations L Ruthotto, E Haber Journal of Mathematical Imaging and Vision 62 (3), 352-364, 2020 | 241 | 2020 |

Fast simulation of 3D electromagnetic problems using potentials E Haber, UM Ascher, DA Aruliah, DW Oldenburg Journal of Computational Physics 163 (1), 150-171, 2000 | 239 | 2000 |

RESINVM3D: A 3D resistivity inversion package A Pidlisecky, E Haber, R Knight Geophysics 72 (2), H1-H10, 2007 | 232 | 2007 |

Three dimensional inversion of multisource time domain electromagnetic data DW Oldenburg, E Haber, R Shekhtman Geophysics 78 (1), E47-E57, 2013 | 215 | 2013 |

Inversion of 3D electromagnetic data in frequency and time domain using an inexact all-at-once approach E Haber, UM Ascher, DW Oldenburg Geophysics 69 (5), 1216-1228, 2004 | 208 | 2004 |

Reversible architectures for arbitrarily deep residual neural networks B Chang, L Meng, E Haber, L Ruthotto, D Begert, E Holtham Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 193 | 2018 |

Numerical methods for volume preserving image registration E Haber, J Modersitzki Inverse problems 20 (5), 1621, 2004 | 188 | 2004 |

Fast finite volume simulation of 3D electromagnetic problems with highly discontinuous coefficients E Haber, UM Ascher SIAM Journal on Scientific Computing 22 (6), 1943-1961, 2001 | 186 | 2001 |

Preconditioned all-at-once methods for large, sparse parameter estimation problems E Haber, UM Ascher Inverse Problems 17 (6), 1847, 2001 | 178 | 2001 |

An effective method for parameter estimation with PDE constraints with multiple right-hand sides E Haber, M Chung, F Herrmann SIAM Journal on Optimization 22 (3), 739-757, 2012 | 167 | 2012 |

Intensity gradient based registration and fusion of multi-modal images E Haber, J Modersitzki Methods of information in medicine 46 (03), 292-299, 2007 | 157 | 2007 |

A GCV based method for nonlinear ill-posed problems E Haber, D Oldenburg Computational Geosciences 4 (1), 41-63, 2000 | 147 | 2000 |

A multilevel method for image registration E Haber, J Modersitzki SIAM journal on scientific computing 27 (5), 1594-1607, 2006 | 146 | 2006 |

Multi-level residual networks from dynamical systems view B Chang, L Meng, E Haber, F Tung, D Begert arXiv preprint arXiv:1710.10348, 2017 | 122 | 2017 |

Computational methods in geophysical electromagnetics E Haber Society for Industrial and Applied Mathematics, 2014 | 122 | 2014 |

Numerical methods for experimental design of large-scale linear ill-posed inverse problems E Haber, L Horesh, L Tenorio Inverse Problems 24 (5), 055012, 2008 | 119 | 2008 |