Artikel mit Open-Access-Mandaten - Eldad HaberWeitere Informationen
Nicht verfügbar: 3
Adaptive A-optimal experimental design for linear dynamical systems
J Fohring, E Haber
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 1138-1159, 2016
Mandate: Natural Sciences and Engineering Research Council of Canada
3D Multiple Body Parametric Inversion of Time-domain Airborne EM Data
MS McMillan, DW Oldenburg, E Haber, C Schwarzbach, E Holtham
First European Airborne Electromagnetics Conference 2015 (1), 1-5, 2015
Mandate: Natural Sciences and Engineering Research Council of Canada
Preface for Inverse Problems special issue on learning and inverse problems
CB Schönlieb, JC De los Reyes, E Haber
Inverse Problems 33 (7), 070301, 2017
Mandate: UK Engineering and Physical Sciences Research Council
Verfügbar: 30
Stable architectures for deep neural networks
E Haber, L Ruthotto
Inverse problems 34 (1), 014004, 2017
Mandate: US National Science Foundation
Deep neural networks motivated by partial differential equations
L Ruthotto, E Haber
Journal of Mathematical Imaging and Vision 62 (3), 352-364, 2020
Mandate: US National Science Foundation, UK Engineering and Physical Sciences …
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
Mandate: US National Science Foundation
An introduction to deep generative modeling
L Ruthotto, E Haber
GAMM‐Mitteilungen 44 (2), e202100008, 2021
Mandate: US National Science Foundation, US Department of Energy, US Department of …
Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations
M Eliasof, E Haber, E Treister
Advances in neural information processing systems 34, 3836-3849, 2021
Mandate: US National Science Foundation
Learning across scales---multiscale methods for convolution neural networks
E Haber, L Ruthotto, E Holtham, SH Jun
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Mandate: US National Science Foundation
An Efficient Numerical Method for the Solution of the Optimal Mass Transfer Problem
E Haber, T Rehman, A Tannenbaum
SIAM Journal on Scientific Computing 32 (1), 197-211, 2010
Mandate: US National Institutes of Health
3D nonrigid registration via optimal mass transport on the GPU
T ur Rehman, E Haber, G Pryor, J Melonakos, A Tannenbaum
Medical image analysis 13 (6), 931-940, 2009
Mandate: US National Institutes of Health
Hydro‐frac monitoring using ground time‐domain electromagnetics
GM Hoversten, M Commer, E Haber, C Schwarzbach
Geophysical Prospecting 63 (6), 1508-1526, 2015
Mandate: US Department of Energy
IMEXnet a forward stable deep neural network
E Haber, K Lensink, E Treister, L Ruthotto
International Conference on Machine Learning, 2525-2534, 2019
Mandate: US National Science Foundation, Natural Sciences and Engineering Research …
3D parametric hybrid inversion of time-domain airborne electromagnetic data
MS McMillan, C Schwarzbach, E Haber, DW Oldenburg
Geophysics 80 (6), K25-K36, 2015
Mandate: Natural Sciences and Engineering Research Council of Canada
jInv--a flexible Julia package for PDE parameter estimation
L Ruthotto, E Treister, E Haber
SIAM Journal on Scientific Computing 39 (5), S702-S722, 2017
Mandate: US National Science Foundation
GlymphVIS: visualizing glymphatic transport pathways using regularized optimal transport
R Elkin, S Nadeem, E Haber, K Steklova, H Lee, H Benveniste, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Mandate: US Department of Defense, US National Institutes of Health
An efficient algorithm for matrix-valued and vector-valued optimal mass transport
Y Chen, E Haber, K Yamamoto, TT Georgiou, A Tannenbaum
Journal of Scientific Computing 77, 79-100, 2018
Mandate: US National Science Foundation, US Department of Defense, US National …
Fully hyperbolic convolutional neural networks
K Lensink, B Peters, E Haber
Research in the Mathematical Sciences 9 (4), 60, 2022
Mandate: Natural Sciences and Engineering Research Council of Canada
Efficient 3D inversions using the Richards equation
R Cockett, LJ Heagy, E Haber
Computers & Geosciences 116, 91-102, 2018
Mandate: Natural Sciences and Engineering Research Council of Canada
How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem
R Gal, E Haber, B Irwin, B Saleh, A Ziv
Optimization and Engineering 22 (1), 217-245, 2021
Mandate: Natural Sciences and Engineering Research Council of Canada
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