Eldad Haber

According to our database1, Eldad Haber authored at least 89 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Graph Neural Networks for Binary Programming.
CoRR, 2024

An Over Complete Deep Learning Method for Inverse Problems.
CoRR, 2024

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Feature Transportation Improves Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Estimating a Potential Without the Agony of the Partition Function.
SIAM J. Math. Data Sci., December, 2023

Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition.
Comput. Optim. Appl., April, 2023

ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks.
CoRR, 2023

DRIP: Deep Regularizers for Inverse Problems.
CoRR, 2023

Semi-Automated Segmentation of Geoscientific Data Using Superpixels.
CoRR, 2023

Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods.
Proceedings of the International Conference on Machine Learning, 2023

2022
Mimetic Neural Networks: A Unified Framework for Protein Design and Folding.
Frontiers Bioinform., 2022

Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification.
CoRR, 2022

Neural DAEs: Constrained neural networks.
CoRR, 2022

pathGCN: Learning General Graph Spatial Operators from Paths.
Proceedings of the International Conference on Machine Learning, 2022

2021
Data-driven semi-supervised clustering for oil prediction.
Comput. Geosci., 2021

A-Optimal Active Learning.
CoRR, 2021

Deep Neural Network Accelerated Implicit Filtering.
CoRR, 2021

An Introduction to Deep Generative Modeling.
CoRR, 2021

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure.
Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

Automatic Scalable System for the Coverage-Directed Generation (CDG) Problem.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks.
IEEE J. Sel. Top. Signal Process., 2020

Deep Neural Networks Motivated by Partial Differential Equations.
J. Math. Imaging Vis., 2020

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science.
J. Math. Imaging Vis., 2020

Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients.
CoRR, 2020

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing.
CoRR, 2020

Using DNNs and Smart Sampling for Coverage Closure Acceleration.
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

2019
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude.
Numer. Linear Algebra Appl., 2019

Symmetric block-low-rank layers for fully reversible multilevel neural networks.
CoRR, 2019

Fluid Flow Mass Transport for Generative Networks.
CoRR, 2019

How To Catch A Lion In The Desert - On The Solution Of The Coverage Directed Generation (CDG) Problem.
CoRR, 2019

Fully Hyperbolic Convolutional Neural Networks.
CoRR, 2019

LeanResNet: A Low-cost yet Effective Convolutional Residual Networks.
CoRR, 2019

Neural-networks for geophysicists and their application to seismic data interpretation.
CoRR, 2019

Large-Scale Classification using Multinomial Regression and ADMM.
CoRR, 2019

Automatic classification of geologic units in seismic images using partially interpreted examples.
CoRR, 2019

3D Joint hydrogeophysical inversion using similarity measures.
Appl. Math. Comput., 2019

IMEXnet A Forward Stable Deep Neural Network.
Proceedings of the 36th International Conference on Machine Learning, 2019

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport.
J. Sci. Comput., 2018

Efficient 3D inversions using the Richards equation.
Comput. Geosci., 2018

Multi-resolution neural networks for tracking seismic horizons from few training images.
CoRR, 2018

Never look back - A modified EnKF method and its application to the training of neural networks without back propagation.
CoRR, 2018

Low-Cost Parameterizations of Deep Convolution Neural Networks.
CoRR, 2018

GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-level Residual Networks from Dynamical Systems View.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Across Scales - Multiscale Methods for Convolution Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reversible Architectures for Arbitrarily Deep Residual Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Full Waveform Inversion Guided by Travel Time Tomography.
SIAM J. Sci. Comput., 2017

jInv-a Flexible Julia Package for PDE Parameter Estimation.
SIAM J. Sci. Comput., 2017

A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations.
J. Comput. Appl. Math., 2017

Learning across scales - A multiscale method for Convolution Neural Networks.
CoRR, 2017

Stable Architectures for Deep Neural Networks.
CoRR, 2017

2016
Adaptive A-Optimal Experimental Design for Linear Dynamical Systems.
SIAM/ASA J. Uncertain. Quantification, 2016

A fast marching algorithm for the factored eikonal equation.
J. Comput. Phys., 2016

An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domain.
CoRR, 2016

Building an iterative heuristic solver for a quantum annealer.
Comput. Optim. Appl., 2016

2015
Data mining for real mining: A robust algorithm for prospectivity mapping with uncertainties.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014
Geophysical Imaging of Fluid Flow in Porous Media.
SIAM J. Sci. Comput., 2014

Simultaneous Source for non-uniform data variance and missing data.
CoRR, 2014

Computational Methods in Geophysical Electromagnetics.
Mathematics in Industry, SIAM, ISBN: 978-1-611-97379-2, 2014

2012
An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides.
SIAM J. Optim., 2012

Experimental Design for Biological Systems.
SIAM J. Control. Optim., 2012

Numerical methods for <i>A</i>-optimal designs with a sparsity constraint for ill-posed inverse problems.
Comput. Optim. Appl., 2012

2011
A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids.
SIAM J. Sci. Comput., 2011

A fast method for the solution of the Helmholtz equation.
J. Comput. Phys., 2011

A preconditioning technique for a class of PDE-constrained optimization problems.
Adv. Comput. Math., 2011

2010
An Efficient Numerical Method for the Solution of the L<sub>2</sub> Optimal Mass Transfer Problem.
SIAM J. Sci. Comput., 2010

New multigrid smoothers for the Oseen problem.
Numer. Linear Algebra Appl., 2010

Numerical optimization for constrained image registration.
Numer. Linear Algebra Appl., 2010

Fire and smoke detection in video with optimal mass transport based optical flow and neural networks.
Proceedings of the International Conference on Image Processing, 2010

2009
Multilevel Algorithms for Large-Scale Interior Point Methods.
SIAM J. Sci. Comput., 2009

3D nonrigid registration via optimal mass transport on the GPU.
Medical Image Anal., 2009

A Scale-Space Approach to Landmark Constrained Image Registration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008
Adaptive Mesh Refinement for Nonparametric Image Registration.
SIAM J. Sci. Comput., 2008

Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

2007
An Octree Method for Parametric Image Registration.
SIAM J. Sci. Comput., 2007

An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients.
J. Comput. Phys., 2007

Image Registration with Guaranteed Displacement Regularity.
Int. J. Comput. Vis., 2007

2006
A Multilevel Method for Image Registration.
SIAM J. Sci. Comput., 2006

On Effective Methods for Implicit Piecewise Smooth Surface Recovery.
SIAM J. Sci. Comput., 2006

Intensity Gradient Based Registration and Fusion of Multi-modal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Grid-based Image Registration.
Proceedings of the Grid-Based Problem Solving Environments, 2006

2005
A Scale Space Method for Volume Preserving Image Registration.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Beyond Mutual Information: A Simple and Robust Alternative.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005

2004
Volume Preserving Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2003
Computational Methods for Large Distributed Parameter Estimation Problems in 3D.
Proceedings of the Modeling, 2003

2001
Fast Finite Volume Simulation of 3D Electromagnetic Problems with Highly Discontinuous Coefficients.
SIAM J. Sci. Comput., 2001

1998
SPECT image reconstruction using total variation.
Proceedings of the Medical Imaging 1998: Image Processing, 1998


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