Stable architectures for deep neural networks E Haber, L Ruthotto Inverse problems 34 (1), 014004, 2017 | 453 | 2017 |
On optimization techniques for solving nonlinear inverse problems E Haber, UM Ascher, D Oldenburg Inverse problems 16 (5), 1263, 2000 | 374 | 2000 |
Joint inversion: a structural approach E Haber, D Oldenburg Inverse problems 13 (1), 63, 1997 | 355 | 1997 |
Deep neural networks motivated by partial differential equations L Ruthotto, E Haber Journal of Mathematical Imaging and Vision 62 (3), 352-364, 2020 | 291 | 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 | 254 | 2000 |
Intensity gradient based registration and fusion of multi-modal images E Haber, J Modersitzki International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 250 | 2006 |
RESINVM3D: A 3D resistivity inversion package A Pidlisecky, E Haber, R Knight Geophysics 72 (2), H1-H10, 2007 | 239 | 2007 |
Three dimensional inversion of multisource time domain electromagnetic data DW Oldenburg, E Haber, R Shekhtman Geophysics 78 (1), E47-E57, 2013 | 232 | 2013 |
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 | 214 | 2018 |
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 | 214 | 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 | 195 | 2001 |
Numerical methods for volume preserving image registration E Haber, J Modersitzki Inverse problems 20 (5), 1621, 2004 | 192 | 2004 |
Preconditioned all-at-once methods for large, sparse parameter estimation problems E Haber, UM Ascher Inverse Problems 17 (6), 1847, 2001 | 186 | 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 | 170 | 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 | 159 | 2007 |
A GCV based method for nonlinear ill-posed problems E Haber, D Oldenburg Computational Geosciences 4 (1), 41-63, 2000 | 159 | 2000 |
A multilevel method for image registration E Haber, J Modersitzki SIAM journal on scientific computing 27 (5), 1594-1607, 2006 | 146 | 2006 |
Computational methods in geophysical electromagnetics E Haber Society for Industrial and Applied Mathematics, 2014 | 140 | 2014 |
Multi-level residual networks from dynamical systems view B Chang, L Meng, E Haber, F Tung, D Begert arXiv preprint arXiv:1710.10348, 2017 | 129 | 2017 |
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 | 127 | 2008 |