Eldad Haber
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Mathematics Computer Science
Eldad Haber's Degrees
- PhD Applied Mathematics University of British Columbia
- Masters Applied Mathematics University of British Columbia
- Bachelors Mathematics University of British Columbia
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(Suggest an Edit or Addition)Eldad Haber's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Stable architectures for deep neural networks (2017) (492)
- Deep Neural Networks Motivated by Partial Differential Equations (2018) (338)
- On optimization techniques for solving nonlinear inverse problems (2000) (315)
- Joint inversion: a structural approach (1997) (287)
- Intensity Gradient Based Registration and Fusion of Multi-modal Images (2006) (250)
- Reversible Architectures for Arbitrarily Deep Residual Neural Networks (2017) (211)
- Fast Simulation of 3D Electromagnetic Problems Using Potentials (2000) (201)
- RESINVM3D: A 3D resistivity inversion package (2007) (191)
- Numerical methods for volume preserving image registration (2004) (183)
- Inversion of 3D electromagnetic data in frequency and time domain using an inexact all-at-once approach (2004) (180)
- Preconditioned all-at-once methods for large, sparse parameter estimation problems (2001) (170)
- Three dimensional inversion of multisource time domain electromagnetic data (2013) (166)
- Fast Finite Volume Simulation of 3D Electromagnetic Problems with Highly Discontinuous Coefficients (2000) (153)
- AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks (2019) (145)
- Multi-level Residual Networks from Dynamical Systems View (2017) (140)
- A Multilevel Method for Image Registration (2005) (136)
- A GCV based method for nonlinear ill-posed problems (2000) (125)
- Numerical methods for experimental design of large-scale linear ill-posed inverse problems (2008) (119)
- An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides (2012) (115)
- 3-D inversion of airborne electromagnetic data parallelized and accelerated by local mesh and adaptive soundings (2014) (114)
- Computational Methods in Geophysical Electromagnetics (2014) (100)
- An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients (2007) (95)
- Inversion of time domain three‐dimensional electromagnetic data (2007) (93)
- Numerical methods for coupled super-resolution (2006) (92)
- Image Registration with Guaranteed Displacement Regularity (2007) (91)
- Model Fusion and Joint Inversion (2013) (91)
- An Efficient Numerical Method for the Solution of the L2 Optimal Mass Transfer Problem (2010) (85)
- Learning across scales - A multiscale method for Convolution Neural Networks (2017) (83)
- Grid refinement and scaling for distributed parameter estimation problems (2001) (83)
- 3D nonrigid registration via optimal mass transport on the GPU (2009) (83)
- Quasi-Newton methods for large-scale electromagnetic inverse problems (2005) (81)
- Fire and smoke detection in video with optimal mass transport based optical flow and neural networks (2010) (80)
- Finite element based inversion for time-harmonic electromagnetic problems (2013) (78)
- An introduction to deep generative modeling (2021) (78)
- A multilevel, level-set method for optimizing eigenvalues in shape design problems (2004) (76)
- A multigrid method for distributed parameter estimation problems. (2003) (72)
- Numerical methods for the design of large-scale nonlinear discrete ill-posed inverse problems (2010) (70)
- An Algorithm For the Three-dimensional Inversion of Magnetotelluric Data (2002) (67)
- On Effective Methods for Implicit Piecewise Smooth Surface Recovery (2006) (65)
- Parallel inversion of large-scale airborne time-domain electromagnetic data with multiple OcTree meshes (2014) (64)
- Adaptive finite volume method for distributed non-smooth parameter identification (2007) (63)
- Learning regularization functionals—a supervised training approach (2003) (59)
- Beyond Mutual Information: A Simple and Robust Alternative (2005) (59)
- Numerical strategies for the solution of inverse problems (1997) (53)
- A preconditioning technique for a class of PDE-constrained optimization problems (2011) (51)
- Three-dimensional modeling of IP effects in time-domain electromagnetic data (2014) (51)
- Hydro‐frac monitoring using ground time‐domain electromagnetics (2015) (44)
- A METHOD FOR THE FORWARD MODELLING OF 3-D ELECTROMAGNETIC QUASI-STATIC PROBLEMS (2001) (44)
- A fast method for the solution of the Helmholtz equation (2011) (43)
- A fast marching algorithm for the factored eikonal equation (2016) (41)
- Optimal Experimental Design for the Large‐Scale Nonlinear Ill‐Posed Problem of Impedance Imaging (2010) (40)
- A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids (2011) (40)
- PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations (2021) (39)
- Building an iterative heuristic solver for a quantum annealer (2015) (37)
- Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems (2012) (36)
- Adaptive Mesh Refinement for Nonparametric Image Registration (2008) (36)
- Three‐dimensional numerical modelling and inversion of magnetometric resistivity data (2002) (35)
- jInv-a Flexible Julia Package for PDE Parameter Estimation (2016) (35)
- Multi-resolution neural networks for tracking seismic horizons from few training images (2018) (34)
- 3D parametric hybrid inversion of time-domain airborne electromagnetic data (2015) (34)
- Joint hydrogeophysical inversion: state estimation for seawater intrusion models in 3D (2016) (34)
- A multiscale finite volume method for Maxwell's equations at low frequencies (2014) (33)
- Numerical optimization for constrained image registration (2010) (32)
- New multigrid smoothers for the Oseen problem (2010) (32)
- A mixed formulation of the Bingham fluid flow problem: Analysis and numerical solution (2011) (32)
- ESINVM 3 D : A 3 D resistivity inversion package (2007) (31)
- Experimental Design for Biological Systems (2012) (29)
- IMEXnet: A Forward Stable Deep Neural Network (2019) (29)
- Cone-based electrical resistivity tomography (2005) (28)
- Neural-networks for geophysicists and their application to seismic data interpretation (2019) (27)
- The lost honor of ℓ2-based regularization (2013) (26)
- Never look back - A modified EnKF method and its application to the training of neural networks without back propagation (2018) (26)
- A computational framework for image-based constrained registration (2009) (25)
- 3D forward modelling of time domain electromagnetic data (2002) (24)
- Forward Modelling And Inversion of Multi-Source TEM Data (2008) (22)
- An OcTree multigrid method for quasi‐static Maxwell's equations with highly discontinuous coefficients (2006) (22)
- Model Problems in PDE-Constrained Optimization (2007) (21)
- Modeling electromagnetic fields in the presence of casing (2016) (20)
- A mixed finite element method for the solution of the magnetostatic problem with highly discontinuous coefficients in 3D (2000) (18)
- Cofir: Coarse and Fine Image Registration (2004) (18)
- Multilevel Algorithms for Large-Scale Interior Point Methods (2009) (18)
- Borehole to Surface Electromagnetic Monitoring of Hydraulic Fractures (2017) (18)
- GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport (2018) (17)
- Full Waveform Inversion Guided by Travel Time Tomography (2016) (17)
- Simultaneous Source for non-uniform data variance and missing data (2014) (16)
- Volume Preserving Image Registration (2004) (16)
- An Octree Method for Parametric Image Registration (2007) (15)
- LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks (2019) (15)
- Inductive Source Induced Polarization (2012) (15)
- A Multilevel Method for the Solution of Time Dependent Optimal Transport (2015) (14)
- An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport (2017) (13)
- A Scale-Space Approach to Landmark Constrained Image Registration (2009) (13)
- An Adaptive Mesh Method for Electromagnetic Inverse Problems (2012) (13)
- Efficient 3D inversions using the Richards equation (2018) (12)
- Optimal estimation of L1 regularization prior from a regularized empirical bayesian risk standpoint (2012) (12)
- A parallel method for large scale time domain electromagnetic inverse problems (2008) (12)
- Controlled source electromagnetic inversion for resource exploration (2005) (11)
- Mineral prospectivity mapping using a VNet convolutional neural network (2021) (11)
- Data mining for real mining: A robust algorithm for prospectivity mapping with uncertainties (2015) (11)
- A Framework for Image-Based Constrained Registration with an Application to Local Rigidity (2007) (10)
- Reciprocity in electromagnetics: application to modelling marine magnetometric resistivity data (2005) (10)
- Blind deconvolution of seismograms regularized via minimum support (2010) (10)
- A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations (2016) (10)
- Sensitivity computation of the ℓ1 minimization problem and its application to dictionary design of ill-posed problems (2009) (10)
- Reciprocity in electromagnetics: Application to marine magnetometric resistivity (2003) (9)
- Fully hyperbolic convolutional neural networks (2019) (9)
- Optimal design of simultaneous source encoding (2015) (8)
- Parametric 3D inversion of airborne time domain electromagnetics (2015) (8)
- Numerical Upscaling of Electrical Conductivity: A problem specific approach to generate coarse-scale models (2014) (8)
- Mimetic Neural Networks: A Unified Framework for Protein Design and Folding (2021) (8)
- A Scale Space Method for Volume Preserving Image Registration (2005) (8)
- Electromagnetic Characterization of Hydraulic Fracture Shape and Permeability (2015) (8)
- Adaptive A-Optimal Experimental Design for Linear Dynamical Systems (2016) (7)
- ADMM-Softmax: an ADMM approach for multinomial logistic regression (2019) (7)
- Fluid Flow Mass Transport for Generative Networks (2019) (7)
- An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domain (2016) (7)
- Hydro-frac Monitoring Using Ground Time-domain EM (2014) (6)
- Low-Cost Parameterizations of Deep Convolution Neural Networks (2018) (6)
- Recovering a thin dipping conductor with 3D electromagnetic inversion over the Caber deposit (2014) (6)
- A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude (2017) (6)
- Using machine learning to interpret 3D airborne electromagnetic inversions (2019) (6)
- Multiple body parametric inversion of frequency- and time-domain airborne electromagnetics (2016) (6)
- pathGCN: Learning General Graph Spatial Operators from Paths (2022) (6)
- 3D Modeling of IP Effects on Electromagnetic Data in the Time Domain (2012) (6)
- Large-Scale Inversion of Gravity Gradiometry With Differential Equations (2014) (6)
- Coupled simulation of electromagnetic induction and IP effects using stretched exponential relaxation (2017) (6)
- Geophysical Imaging of Fluid Flow in Porous Media (2014) (6)
- Improved upscaling of steel-cased wells through inversion (2018) (6)
- Inversion of 3D Electromagnetic Data - A Constrained Optimization Approach (2000) (5)
- Overcomplete Dictionary Design by Empirical Risk Minimization (2007) (5)
- Image-Based CFD Simulation of a Compliant Blood Vessel (2010) (5)
- A 2.5D Inversion of Airborne Electromagnetic Data (2012) (5)
- Numerical methods for optimal experimental design of large-scale ill-posed problems (2008) (5)
- Resinvm3d: a Matlab 3-d Resistivity Inversion Package a Manuscript for Submission to Geophysics (2006) (5)
- Real-Time 3D Inversion of Ultra-Deep Resistivity Logging-While-Drilling Data (2019) (5)
- 3D inversion of DC/IP data using adaptive OcTree meshes (2012) (5)
- Fast Modelling of 3d Electromagnetic Problems Using Potentials (1999) (5)
- Recovery of 3D IP distribution from airborne time-domain EM (2013) (5)
- How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem (2019) (5)
- Symmetric block-low-rank layers for fully reversible multilevel neural networks (2019) (4)
- Finite Element Based Inversion For Electromagnetic Problems Using Stochastic Optimization (2011) (4)
- Large-scale magnetic inversion using differential equations and ocTrees (2013) (4)
- Varying Iteration Accuracy Using Inexact Conjugate Gradients in Control Problems governed by PDE’s (2008) (4)
- Multi-physics Inversion for Reservoir Monitoring (2016) (4)
- Grid-based Image Registration (2007) (4)
- 3D Anisotropic CSEM Inversion (2017) (4)
- Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing (2020) (4)
- Fully Reversible Neural Networks for Large-Scale 3D Seismic Horizon Tracking (2020) (4)
- 3D Joint hydrogeophysical inversion using similarity measures (2017) (4)
- Using DNNs and Smart Sampling for Coverage Closure Acceleration (2020) (3)
- Automatic classification of geologic units in seismic images using partially interpreted examples (2019) (3)
- 3-D inversion of magnetometric resistivity data (2002) (3)
- Modelling IP effects in airborne time domain electromagnetics (2018) (3)
- Orogenic gold prospectivity mapping using machine learning (2019) (3)
- Achieving depth resolution with gradient array survey data through transient electromagnetic inversion (2016) (3)
- 3-D Frequency-domain CSEM Inversion Using Unconstrained Optimization (2002) (3)
- LeanResNet: A Low-cost yet Effective Convolutional Residual Networks (2019) (3)
- AUV-CSEM: An Improvement in the Efficiency of Multi-Sensor Mapping of Seafloor Massive Sulfide (SMS) Deposits with an AUV (2018) (3)
- Obtaining low frequencies for Full Waveform Inversion by using augmented physics (2016) (3)
- Varying Iteration Accuracy Using Inexact Conjugate Gradients in Control Problems Governed by Partial Differential Equations (2013) (3)
- Large Scale 3D Airborne Electromagnetic Inversion - Recent Technical Improvements (2018) (3)
- Sensitivity computation of the L1 minimization problem and its application to dictionary design (2014) (3)
- Inversion of 3D Time Domain Electromagnetic Data Using an All-at-once Approach (2002) (3)
- Modelling 3D Maxwell's equations with non‐continuous coefficients (2000) (3)
- An oversampling technique for multiscale finite volume method to simulate frequency-domain electromagnetic responses (2016) (2)
- Joint Full Waveform Inversion and Travel Time Tomography (2016) (2)
- Massive parallelization of 3 D electromagnetic inversion using local meshes (2013) (2)
- Numerical Computation of the Gradient and the Action of the Hessian for Time-Dependent PDE-Constrained Optimization Problems (2015) (2)
- Does shallow geological knowledge help neural-networks to predict deep units? (2019) (2)
- 3D electromagnetic inversion of logging while drilling data (2017) (2)
- An augmented formulation of the incompressible Bingham fluid problem : Analysis and numerical solution (2010) (2)
- Resource Management through Machine Learning (2016) (2)
- Solving CSEM Problems with Massive Number of Sources and Receivers (2016) (2)
- Fast Finite Volume Modeling of 3D electromagnetic problems with highly discontinuous coefficients (1999) (2)
- 3D Multiple Body Parametric Inversion of Time-domain Airborne EM Data (2015) (2)
- Parameterization of real orthogonal antisymmetric matrices Howard (2017) (2)
- An Assessment of the Feasibility of a Cone Penetrometer Based Resistivity Imaging System (2003) (2)
- Simultaneous-shot inversion for PDE-constrained optimization problems with missing data (2018) (2)
- Multi-source inversion of TEM data: with field applications to Mt. Milligan (2010) (1)
- 3D Cooperative Parametric Inversion of Frequency and Time-domain Airborne Electromagnetic Data (2016) (1)
- Simultaneous shot inversion for nonuniform geometries using fast data interpolation (2018) (1)
- 3D Inversion of Time Domain Data with Integrated Application to Mineral Exploration (2007) (1)
- Automatic Scalable System for the Coverage-Directed Generation (CDG) Problem (2021) (1)
- Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement (2008) (1)
- Geophysical imaging, reservoir history matching and forecasting (2013) (1)
- The mimetic multiscale method for Maxwell’s equations (2018) (1)
- Chapter 1: Maxwell's Equations and Their Geophysical Applications (2014) (1)
- 3D Inversion of Time-Domain Electromagnetic Data for Ground Water Aquifers* (2014) (1)
- 3D Inversion of Large-scale Time Domain Electromagnetic Data (2013) (1)
- Assessment of uncertainty in parametric inversion of electromagnetic field data to determine propped hydraulic fracture geometry – a semi quantitative approach (2019) (1)
- The Discrete Adjoint Method for Exponential Integration (2016) (1)
- Multimodal Registration of White Matter Brain Data via Optimal Mass Transport. (2008) (1)
- Noise, constraints and 3D inversion: A practical look at high-resolution aquifer mapping using airborne electromagnetics (2019) (1)
- Neural DAEs: Constrained neural networks (2022) (1)
- Estimating a potential without the agony of the partition function (2022) (1)
- Data-driven semi-supervised clustering for oil prediction (2021) (1)
- Richards Equation Inversion (2015) (1)
- Enhanced Reservoir Monitoring using Coupled Electromagnetics and Flow Modeling (2013) (1)
- Advanced Modeling and Inversion Tools for Controlled Source EM (2014) (1)
- A numerical method for efficient 3D inversions using Richards equation (2017) (1)
- Tackling 21st Century Geoscience Problems with Machine Learning (2020) (1)
- AEGC 2019: Conference and exhibition awards (2019) (1)
- Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems (2011) (1)
- Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition (2020) (1)
- Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science (2020) (1)
- Joint inversion : Exploring the different ways of coupling geophysical and groundwater data (2015) (0)
- Geostatistical A-priori Information in Coupled Hydrogeophysical Inverse Problems (2014) (0)
- A Multiscale Approach for Casing Modeling (2017) (0)
- Semi-Automated Segmentation of Geoscientific Data Using Superpixels (2023) (0)
- Protein Design Using Physics Informed Neural Networks (2023) (0)
- THE DISCRETE ADJOINT METHOD FOR LARGE-SCALE OPTIMIZATION PROBLEMS WITH LINEAR TIME-DEPENDENT PDE CONSTRAINTS (2016) (0)
- Preface for Inverse Problems special issue on learning and inverse problems (2017) (0)
- Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science (2020) (0)
- Finite element based inversion of AEM data using stochastic optimization (2012) (0)
- Chapter 7: Large Scale Problems and Problems with Many Sources (2014) (0)
- Deep Neural Networks Motivated by Partial Differential Equations (2019) (0)
- jInv: A Modular and Scalable Framework for Electromagnetic Inverse Problems (2016) (0)
- D Inversion of Large Scale Marine Controlled-Source (2018) (0)
- Groundwater Exploration Using AEM in Structurally Complex, Inverted Sedimentary Basins and Paleovalleys, Kimberley Regio (2017) (0)
- Building an iterative heuristic solver for a quantum annealer (2016) (0)
- SPECT image reconstruction using total variation (1998) (0)
- Large-Scale Classification using Multinomial Regression and ADMM (2019) (0)
- M ULTI - LEVEL R ESIDUAL N ETWORKS FROM D YNAMI CAL S YSTEMS V IEW (2022) (0)
- Final Technical Report for "Applied Mathematics Research: Simulation Based Optimization and Application to Electromagnetic Inverse Problems" (2014) (0)
- 3D Inversion of Large Scale Marine Controlled-Source Electromagnetics (2018) (0)
- Comparative Evaluation of 1D, 2.5D and 3D Inversions for Resolving Tectonic Elements in Floodplains and Near-Surface Inverted Sedimentary Basins (2018) (0)
- Seawater intrusions: Coupling groundwater model and geophysical data (2012) (0)
- Inversion of Multi-source TEM Data With Applications to Mt. Milligan (2010) (0)
- How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem (2020) (0)
- Chapter 6: Data Fitting, Regularization, and Inversion (2014) (0)
- Lithology segmentation using deep neural network (2021) (0)
- A PRIMAL-DUAL FORMULATION FOR THE BINGHAM FLOW (2009) (0)
- A-optimal active learning (2021) (0)
- Cone-based Electrical Resistivity Tomography A manuscript for submission to Geophysics (2005) (0)
- SIAG / OPT Views-and-News (2008) (0)
- hy si cs Inductive source induced polarization (2013) (0)
- Joint hydrogeophysical inversion using similarity measures (2017) (0)
- Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure (2021) (0)
- A Multiscale Finite Volume Method with Oversampling for Geophysical Electromagnetic Simulations (2016) (0)
- Improving Patch-Based Simulation Using Generative Adversial Networks ⋆ (2022) (0)
- A Numerical Method for the Estimation of Distributed Hydraulic Conductivity Using Richards Equation (2013) (0)
- SEMI-SUPERVISED CLUSTERING FOR OIL PROSPECTIV- ITY (2020) (0)
- one-based electrical resistivity tomography (2006) (0)
- Logically Orthogonal Meshes for Geophysical Applications (2013) (0)
- DRIP: Deep Regularizers for Inverse Problems (2023) (0)
- Mathematisches Forschungsinstitut Oberwolfach Report No . 11 / 2018 DOI : 10 . 4171 / OWR / 2018 / 11 Mini-Workshop : Deep Learning and Inverse Problems (2018) (0)
- Never look back -The EnKF method and its application to the training of neural networks without back propagation (2018) (0)
- Chapter 5: Sensitivity Calculation (2014) (0)
- OPTIMAL ESTIMATION OF (cid:96) 1 -REGULARIZATION PRIOR FROM A REGULARIZED EMPIRICAL BAYESIAN RISK STANDPOINT (2012) (0)
- Chapter 8: Inversion in Practice (2014) (0)
- Deep Neural Network Accelerated Implicit Filtering (2021) (0)
- Estimating the configuration of the subglacial drainage system under a mountain glacier in St. Elias Mountains, Yukon (2020) (0)
- Fast Three-dimensional Inversion of Logging While Drilling and Induction Logging Data (2018) (0)
- Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification (2022) (0)
- Identification of Bypassed Hydrocarbon Through the Integration of 3D Resistivity Imaging and Pulsed-Neutron Logging (2018) (0)
- Joint Inversion Through A Level Set Formulation (2012) (0)
- Subglacial drainage effects on surface motion on a small surge type alpine glacier on the St. Elias range, Yukon Territory, Canada. (2017) (0)
- Joint Inversion in Hydrogeophysics: A Synthetic Case of Seawater Intrusion (2014) (0)
- Machine Learning Applications and Examples for Natural Resources (2020) (0)
- Computational Methods for Large Distributed Parameter Estimation Problems in 3D (2003) (0)
- An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport (2018) (0)
- Chapter 2: The Finite Volume Method in 1D and Its Application to Maxwell's Equations (2014) (0)
- Chapter 3: Finite Volume Discretization in 3D (2014) (0)
- A Multiscale Method for Fast Electromagnetic Simulations (2014) (0)
- Chapter 4: Discretization of Maxwell's Equations (2014) (0)
- Estimation of the initial tracer distribution and fluid velocity field from the inversion of geophysical imaging data (2013) (0)
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