Eldad Haber - RankMe

143 papers A* 10A 5B 2Misc 1Journal 110Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields. AAAI Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber
2026	J	`jnl`	Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting. CoRR Carlos A. Pereira, Stéphane Gaudreault, Valentin Dallerit, Christopher Subich, Shoyon Panday, Siqi Wei, Sasa Zhang, Siddharth Rout, Eldad Haber, Raymond J. Spiteri, David Millard, Emilia Diaconescu
2026	J	`jnl`	Multiscale Training of Convolutional Neural Networks. Trans. Mach. Learn. Res. Shadab Ahamed, Niloufar Zakariaei, Eldad Haber, Moshe Eliasof
2026	J	`jnl`	PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers. CoRR Eshed Gal, Moshe Eliasof, Siddharth Rout, Eldad Haber
2026	J	`jnl`	Preconditioned Score and Flow Matching. CoRR Shadab Ahamed, Eshed Gal, Simon Ghyselincks, Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber
2026	J	`jnl`	Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization. CoRR Eshed Gal, Samy Wu Fung, Eldad Haber
2025	J	`jnl`	Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data. CoRR Siddharth Rout, Eldad Haber, Stéphane Gaudreault
2025	J	`jnl`	Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields. CoRR Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber
2025	—	`conf`	Inversion of Magnetic Data Using Learned Dictionaries and Scale Space. SSVM (2) Shadab Ahamed, Simon Ghyselincks, Pablo Chang Huang Arias, Julian Kloiber, Yasin Ranjbar, Jingrong Tang, Niloufar Zakariaei, Eldad Haber
2025	J	`jnl`	Inversion of Magnetic Data using Learned Dictionaries and Scale Space. CoRR Shadab Ahamed, Simon Ghyselincks, Pablo Chang Huang Arias, Julian Kloiber, Yasin Ranjbar, Jingrong Tang, Niloufar Zakariaei, Eldad Haber
2025	J	`jnl`	Iterative Flow Matching - Path Correction and Gradual Refinement for Enhanced Generative Modeling. CoRR Eldad Haber, Shadab Ahamed, Md Shahriar Rahim Siddiqui, Niloufar Zakariaei, Moshe Eliasof
2025	A*	`conf`	Learning Regularization for Graph Inverse Problems. AAAI Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber
2025	J	`jnl`	Multiscale Training of Convolutional Neural Networks. CoRR Niloufar Zakariaei, Shadab Ahamed, Eldad Haber, Moshe Eliasof
2025	J	`jnl`	Neural DAEs: Constrained Neural Networks. SIAM J. Sci. Comput. Tue Boesen, Eldad Haber, Uri M. Ascher
2025	J	`jnl`	Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data. CoRR Siddharth Rout, Eldad Haber, Stéphane Gaudreault
2025	A	`conf`	Quadratic Binary Optimization with Graph Neural Networks. ECAI Moshe Eliasof, Eldad Haber
2025	J	`jnl`	Reversing Large Language Models for Efficient Training and Fine-Tuning. CoRR Eshed Gal, Moshe Eliasof, Javier Turek, Uri M. Ascher, Eran Treister, Eldad Haber
2025	J	`jnl`	Synthetic Geology - Structural Geology Meets Deep Learning. CoRR Simon Ghyselincks, Valeriia Okhmak, Stefano Zampini, George Turkiyyah, David E. Keyes, Eldad Haber
2025	J	`jnl`	TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows. CoRR Moshe Eliasof, Eldad Haber, Carola-Bibiane Schönlieb
2025	J	`jnl`	Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. CoRR Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Eldad Haber, Eran Treister
2025	J	`jnl`	Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. Trans. Mach. Learn. Res. Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Ivan I. Kyrchei, Eldad Haber, Eran Treister
2024	A*	`conf`	Advection Augmented Convolutional Neural Networks. NeurIPS Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof
2024	J	`jnl`	Advection Augmented Convolutional Neural Networks. CoRR Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof
2024	J	`jnl`	An Over Complete Deep Learning Method for Inverse Problems. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2024	—	`conf`	Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CMMCA@MICCAI Niloufar Zakariaei, Arman Rahmim, Eldad Haber
2024	J	`jnl`	Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CoRR Niloufar Zakariaei, Arman Rahmim, Eldad Haber
2024	J	`jnl`	DAWN-SI: Data-Aware and Noise-Informed Stochastic Interpolation for Solving Inverse Problems. CoRR Shadab Ahamed, Eldad Haber
2024	J	`jnl`	Deep Optimal Experimental Design for Parameter Estimation Problems. CoRR Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad Haber
2024	A	`conf`	Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. ECAI Moshe Eliasof, Eldad Haber, Eran Treister
2024	A*	`conf`	Feature Transportation Improves Graph Neural Networks. AAAI Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2024	J	`jnl`	Graph Neural Networks for Binary Programming. CoRR Moshe Eliasof, Eldad Haber
2024	J	`jnl`	Graph Neural Reaction Diffusion Models. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Graph Neural Reaction Diffusion Models. SIAM J. Sci. Comput. Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Learning Regularization for Graph Inverse Problems. CoRR Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber
2024	A	`conf`	On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
2024	J	`jnl`	On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
2024	J	`jnl`	Paired Autoencoders for Inverse Problems. CoRR Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2024	J	`jnl`	Paired autoencoders for likelihood-free estimation in inverse problems. Mach. Learn. Sci. Technol. Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2023	J	`jnl`	ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2023	J	`jnl`	DRIP: Deep Regularizers for Inverse Problems. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2023	J	`jnl`	Estimating a Potential Without the Agony of the Partition Function. SIAM J. Math. Data Sci. Eldad Haber, Moshe Eliasof, Luis Tenorio
2023	A*	`conf`	Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods. ICML Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv
2023	J	`jnl`	Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition. Comput. Optim. Appl. Brian Irwin, Eldad Haber
2023	J	`jnl`	Semi-Automated Segmentation of Geoscientific Data Using Superpixels. CoRR Conrad P. Koziol, Eldad Haber
2022	J	`jnl`	Estimating a potential without the agony of the partition function. CoRR Eldad Haber, Moshe Eliasof, Luis Tenorio
2022	J	`jnl`	Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2022	J	`jnl`	Mimetic Neural Networks: A Unified Framework for Protein Design and Folding. Frontiers Bioinform. Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
2022	J	`jnl`	Neural DAEs: Constrained neural networks. CoRR Tue Boesen, Eldad Haber, Uri M. Ascher
2022	A*	`conf`	pathGCN: Learning General Graph Spatial Operators from Paths. ICML Moshe Eliasof, Eldad Haber, Eran Treister
2022	J	`jnl`	pathGCN: Learning General Graph Spatial Operators from Paths. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2021	J	`jnl`	A-Optimal Active Learning. CoRR Tue Boesen, Eldad Haber
2021	J	`jnl`	An Introduction to Deep Generative Modeling. CoRR Lars Ruthotto, Eldad Haber
2021	A	`conf`	Automatic Scalable System for the Coverage-Directed Generation (CDG) Problem. DATE Raviv Gal, Eldad Haber, Wesam Ibraheem, Brian Irwin, Ziv Nevo, Avi Ziv
2021	J	`jnl`	Data-driven semi-supervised clustering for oil prediction. Comput. Geosci. Tue Boesen, Eldad Haber, G. Michael Hoversten
2021	J	`jnl`	Deep Neural Network Accelerated Implicit Filtering. CoRR Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv
2021	J	`jnl`	Mimetic Neural Networks: A unified framework for Protein Design and Folding. CoRR Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
2021	A*	`conf`	PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. NeurIPS Moshe Eliasof, Eldad Haber, Eran Treister
2021	J	`jnl`	PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2021	—	`conf`	Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure. MLCAD Raviv Gal, Eldad Haber, Brian Irwin, Marwa Mouallem, Bilal Saleh, Avi Ziv
2020	J	`jnl`	Deep Neural Networks Motivated by Partial Differential Equations. J. Math. Imaging Vis. Lars Ruthotto, Eldad Haber
2020	J	`jnl`	Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2020	J	`jnl`	LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
2020	J	`jnl`	Secant Penalized BFGS: A Noise Robust Quasi-Newton Method Via Penalizing The Secant Condition. CoRR Brian Irwin, Eldad Haber
2020	J	`jnl`	Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. CoRR Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber
2020	J	`jnl`	Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
2020	—	`conf`	Using DNNs and Smart Sampling for Coverage Closure Acceleration. MLCAD Raviv Gal, Eldad Haber, Avi Ziv
2019	J	`jnl`	3D Joint hydrogeophysical inversion using similarity measures. Appl. Math. Comput. Klara Steklova, Eldad Haber
2019	J	`jnl`	A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. Numer. Linear Algebra Appl. Eran Treister, Eldad Haber
2019	—	`conf`	AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. ICLR (Poster) Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
2019	J	`jnl`	AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. CoRR Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
2019	J	`jnl`	Automatic classification of geologic units in seismic images using partially interpreted examples. CoRR Bas Peters, Justin Granek, Eldad Haber
2019	J	`jnl`	Fluid Flow Mass Transport for Generative Networks. CoRR Jingrong Lin, Keegan Lensink, Eldad Haber
2019	J	`jnl`	Fully Hyperbolic Convolutional Neural Networks. CoRR Keegan Lensink, Eldad Haber, Bas Peters
2019	J	`jnl`	How To Catch A Lion In The Desert - On The Solution Of The Coverage Directed Generation (CDG) Problem. CoRR Raviv Gal, Eldad Haber, Brian Irwin, Bilal Saleh, Avi Ziv
2019	A*	`conf`	IMEXnet A Forward Stable Deep Neural Network. ICML Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	IMEXnet: A Forward Stable Deep Neural Network. CoRR Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	Large-Scale Classification using Multinomial Regression and ADMM. CoRR Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber
2019	J	`jnl`	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
2019	J	`jnl`	LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister
2019	J	`jnl`	Neural-networks for geophysicists and their application to seismic data interpretation. CoRR Bas Peters, Eldad Haber, Justin Granek
2019	J	`jnl`	Symmetric block-low-rank layers for fully reversible multilevel neural networks. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2018	J	`jnl`	An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport. J. Sci. Comput. Yongxin Chen, Eldad Haber, Kaoru Yamamoto, Tryphon T. Georgiou, Allen R. Tannenbaum
2018	J	`jnl`	Deep Neural Networks motivated by Partial Differential Equations. CoRR Lars Ruthotto, Eldad Haber
2018	J	`jnl`	Efficient 3D inversions using the Richards equation. Comput. Geosci. Rowan Cockett, Lindsey J. Heagy, Eldad Haber
2018	—	`conf`	GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport. MICCAI (1) Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum
2018	J	`jnl`	GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport. CoRR Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum
2018	A*	`conf`	Learning Across Scales - Multiscale Methods for Convolution Neural Networks. AAAI Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun
2018	J	`jnl`	Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber
2018	—	`conf`	Multi-level Residual Networks from Dynamical Systems View. ICLR (Poster) Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
2018	J	`jnl`	Multi-resolution neural networks for tracking seismic horizons from few training images. CoRR Bas Peters, Justin Granek, Eldad Haber
2018	J	`jnl`	Never look back - A modified EnKF method and its application to the training of neural networks without back propagation. CoRR Eldad Haber, Felix Lucka, Lars Ruthotto
2018	A*	`conf`	Reversible Architectures for Arbitrarily Deep Residual Neural Networks. AAAI Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham
2017	J	`jnl`	A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations. J. Comput. Appl. Math. Luz Angelica Caudillo-Mata, Eldad Haber, Lindsey J. Heagy, Christoph Schwarzbach
2017	J	`jnl`	A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. CoRR Eran Treister, Eldad Haber
2017	J	`jnl`	An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport. CoRR Yongxin Chen, Eldad Haber, Kaoru Yamamoto, Tryphon T. Georgiou, Allen R. Tannenbaum
2017	J	`jnl`	Full Waveform Inversion Guided by Travel Time Tomography. SIAM J. Sci. Comput. Eran Treister, Eldad Haber
2017	J	`jnl`	Learning across scales - A multiscale method for Convolution Neural Networks. CoRR Eldad Haber, Lars Ruthotto, Elliot Holtham
2017	J	`jnl`	Multi-level Residual Networks from Dynamical Systems View. CoRR Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
2017	J	`jnl`	Reversible Architectures for Arbitrarily Deep Residual Neural Networks. CoRR Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham
2017	J	`jnl`	Stable Architectures for Deep Neural Networks. CoRR Eldad Haber, Lars Ruthotto
2017	J	`jnl`	jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. Lars Ruthotto, Eran Treister, Eldad Haber
2016	J	`jnl`	A Framework for the Upscaling of the Electrical Conductivity in the Quasi-static Maxwell's Equations. CoRR Luz Angelica Caudillo-Mata, Eldad Haber, Lindsey J. Heagy, Christoph Schwarzbach
2016	J	`jnl`	A fast marching algorithm for the factored eikonal equation. CoRR Eran Treister, Eldad Haber
2016	J	`jnl`	A fast marching algorithm for the factored eikonal equation. J. Comput. Phys. Eran Treister, Eldad Haber
2016	J	`jnl`	Adaptive A-Optimal Experimental Design for Linear Dynamical Systems. SIAM/ASA J. Uncertain. Quantification Jennifer Fohring, Eldad Haber
2016	J	`jnl`	An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domain. CoRR Luz Angelica Caudillo-Mata, Eldad Haber, Christoph Schwarzbach
2016	J	`jnl`	Building an iterative heuristic solver for a quantum annealer. Comput. Optim. Appl. Gili Rosenberg, Mohammad Vazifeh, Brad Woods, Eldad Haber
2016	J	`jnl`	Full waveform inversion guided by travel time tomography. CoRR Eran Treister, Eldad Haber
2016	J	`jnl`	jInv - a flexible Julia package for PDE parameter estimation. CoRR Lars Ruthotto, Eran Treister, Eldad Haber
2015	J	`jnl`	Building an iterative heuristic solver for a quantum annealer. CoRR Gili Rosenberg, Mohammad Vazifeh, Brad Woods, Eldad Haber
2015	A	`conf`	Data mining for real mining: A robust algorithm for prospectivity mapping with uncertainties. SDM Justin Granek, Eldad Haber
2014	—	`book`	Computational Methods in Geophysical Electromagnetics. Eldad Haber
2014	J	`jnl`	Geophysical Imaging of Fluid Flow in Porous Media. SIAM J. Sci. Comput. Jennifer Fohring, Eldad Haber, Lars Ruthotto
2014	J	`jnl`	Simultaneous Source for non-uniform data variance and missing data. CoRR Eldad Haber, Matthias Chung
2012	J	`jnl`	An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides. SIAM J. Optim. Eldad Haber, Matthias Chung, Felix Herrmann
2012	J	`jnl`	Experimental Design for Biological Systems. SIAM J. Control. Optim. Matthias Chung, Eldad Haber
2012	J	`jnl`	Numerical methods for Comput. Optim. Appl. Eldad Haber, Zhuojun Magnant, Christian Lucero, Luis Tenorio
2011	J	`jnl`	A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids. SIAM J. Sci. Comput. Lior Horesh, Eldad Haber
2011	J	`jnl`	A fast method for the solution of the Helmholtz equation. J. Comput. Phys. Eldad Haber, Scott P. MacLachlan
2011	J	`jnl`	A preconditioning technique for a class of PDE-constrained optimization problems. Adv. Comput. Math. Michele Benzi, Eldad Haber, Lauren Taralli
2010	J	`jnl`	An Efficient Numerical Method for the Solution of the L SIAM J. Sci. Comput. Eldad Haber, Tauseef ur Rehman, Allen R. Tannenbaum
2010	B	`conf`	Fire and smoke detection in video with optimal mass transport based optical flow and neural networks. ICIP Ivan Kolesov, Peter Karasev, Allen R. Tannenbaum, Eldad Haber
2010	J	`jnl`	New multigrid smoothers for the Oseen problem. Numer. Linear Algebra Appl. Steven P. Hamilton, Michele Benzi, Eldad Haber
2010	J	`jnl`	Numerical optimization for constrained image registration. Numer. Linear Algebra Appl. Eldad Haber, Raya Horesh, Jan Modersitzki
2009	J	`jnl`	3D nonrigid registration via optimal mass transport on the GPU. Medical Image Anal. Tauseef ur Rehman, Eldad Haber, Gallagher Pryor, John Melonakos, Allen R. Tannenbaum
2009	—	`conf`	A Scale-Space Approach to Landmark Constrained Image Registration. SSVM Eldad Haber, Stefan Heldmann, Jan Modersitzki
2009	J	`jnl`	Multilevel Algorithms for Large-Scale Interior Point Methods. SIAM J. Sci. Comput. Michele Benzi, Eldad Haber, Lauren Taralli
2008	J	`jnl`	Adaptive Mesh Refinement for Nonparametric Image Registration. SIAM J. Sci. Comput. Eldad Haber, Stefan Heldmann, Jan Modersitzki
2008	—	`conf`	Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement. Bildverarbeitung für die Medizin Hanno Schumacher, Stefan Heldmann, Eldad Haber, Bernd Fischer
2007	J	`jnl`	An Octree Method for Parametric Image Registration. SIAM J. Sci. Comput. Eldad Haber, Stefan Heldmann, Jan Modersitzki
2007	J	`jnl`	An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients. J. Comput. Phys. Eldad Haber, Stefan Heldmann
2007	J	`jnl`	Image Registration with Guaranteed Displacement Regularity. Int. J. Comput. Vis. Eldad Haber, Jan Modersitzki
2006	J	`jnl`	A Multilevel Method for Image Registration. SIAM J. Sci. Comput. Eldad Haber, Jan Modersitzki
2006	—	`conf`	Grid-based Image Registration. Grid-Based Problem Solving Environments William Gropp, Eldad Haber, Stefan Heldmann, David E. Keyes, Neill Miller, Jennifer M. Schopf, Tianzhi Yang
2006	—	`conf`	Intensity Gradient Based Registration and Fusion of Multi-modal Images. MICCAI (2) Eldad Haber, Jan Modersitzki
2006	J	`jnl`	On Effective Methods for Implicit Piecewise Smooth Surface Recovery. SIAM J. Sci. Comput. Uri M. Ascher, Eldad Haber, Hui Huang
2005	—	`conf`	A Scale Space Method for Volume Preserving Image Registration. Scale-Space Eldad Haber, Jan Modersitzki
2005	—	`conf`	Beyond Mutual Information: A Simple and Robust Alternative. Bildverarbeitung für die Medizin Eldad Haber, Jan Modersitzki
2004	—	`conf`	Volume Preserving Image Registration. MICCAI (1) Eldad Haber, Jan Modersitzki
2003	Misc	`conf`	Computational Methods for Large Distributed Parameter Estimation Problems in 3D. HPSC Uri M. Ascher, Eldad Haber
2001	J	`jnl`	Fast Finite Volume Simulation of 3D Electromagnetic Problems with Highly Discontinuous Coefficients. SIAM J. Sci. Comput. Eldad Haber, Uri M. Ascher
1998	B	`conf`	SPECT image reconstruction using total variation. Image Processing Eldad Haber