Eldad Haber
According to our database1,
Eldad Haber
authored at least 96 papers
between 1998 and 2024.
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Bibliography
2024
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data.
CoRR, 2024
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
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
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
Frontiers Bioinform., 2022
Proceedings of the International Conference on Machine Learning, 2022
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
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
2020
IEEE J. Sel. Top. Signal Process., 2020
J. Math. Imaging Vis., 2020
J. Math. Imaging Vis., 2020
CoRR, 2020
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing.
CoRR, 2020
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
CoRR, 2019
How To Catch A Lion In The Desert - On The Solution Of The Coverage Directed Generation (CDG) Problem.
CoRR, 2019
Neural-networks for geophysicists and their application to seismic data interpretation.
CoRR, 2019
Automatic classification of geologic units in seismic images using partially interpreted examples.
CoRR, 2019
Appl. Math. Comput., 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
J. Sci. Comput., 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
GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
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
CoRR, 2017
2016
SIAM/ASA J. Uncertain. Quantification, 2016
An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domain.
CoRR, 2016
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
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
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
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
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
SIAM J. Sci. Comput., 2009
Medical Image Anal., 2009
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
2008
SIAM J. Sci. Comput., 2008
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008
2007
An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients.
J. Comput. Phys., 2007
Int. J. Comput. Vis., 2007
2006
SIAM J. Sci. Comput., 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Grid-Based Problem Solving Environments, 2006
2005
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005
2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
2003
Proceedings of the Modeling, 2003
2001
Fast Finite Volume Simulation of 3D Electromagnetic Problems with Highly Discontinuous Coefficients.
SIAM J. Sci. Comput., 2001
1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998