Eran Treister

Yuri Feldman

CoRR, January, 2025

2024

Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks.

[BibT_eX]

[DOI]

Benjamin Jacob Bodner

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations.

[BibT_eX]

[DOI]

J. Comput. Phys., January, 2024

LFA-Tuned Matrix-Free Multigrid Method for the Elastic Helmholtz Equation.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2024

pISTA: Preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso.

[BibT_eX]

[DOI]

Gal Shalom

SIAM J. Sci. Comput., 2024

Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation Using Compact Implicit Layers.

[BibT_eX]

[DOI]

Bar Lerer

Ido Ben-Yair

SIAM J. Sci. Comput., 2024

Graph Neural Reaction Diffusion Models.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2024

Global-local graph neural networks for node-classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

The determinant of the Laplacian matrix of a quaternion unit gain graph.

[BibT_eX]

[DOI]

Ivan I. Kyrchei

Volodymyr O. Pelykh

Discret. Math., 2024

A block-acoustic preconditioner for the elastic Helmholtz equation.

[BibT_eX]

[DOI]

CoRR, 2024

Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks.

[BibT_eX]

[DOI]

Matan Goren

CoRR, 2024

An Over Complete Deep Learning Method for Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Croppable Implicit Neural Representations.

[BibT_eX]

[DOI]

Maor Ashkenazi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Wavelet Convolutions for Large Receptive Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Efficient Graph Laplacian Estimation by Proximal Newton.

[BibT_eX]

[DOI]

Yakov Medvedovsky

Tirza S. Routtenberg

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks.

[BibT_eX]

[DOI]

Carola-Bibiane Schönlieb

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Feature Transportation Improves Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MGIC: Multigrid-in-Channels Neural Network Architectures.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., June, 2023

Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation.

[BibT_eX]

[DOI]

Yael Azulay

SIAM J. Sci. Comput., June, 2023

ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Multigrid-Augmented Deep Learning for the Helmholtz Equation: Better Scalability with Compact Implicit Layers.

[BibT_eX]

[DOI]

Bar Lerer

Ido Ben-Yair

CoRR, 2023

DRIP: Deep Regularizers for Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Graph Laplacian Estimation by a Proximal Newton Approach.

[BibT_eX]

[DOI]

Yakov Medvedovsky

Tirza Routtenberg

CoRR, 2023

Improving Graph Neural Networks with Learnable Propagation Operators.

[BibT_eX]

[DOI]

Lars Ruthotto

Proceedings of the International Conference on Machine Learning, 2023

Graph Positional Encoding via Random Feature Propagation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

NeRN: Learning Neural Representations for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks.

[BibT_eX]

[DOI]

Benjamin Jacob Bodner

Gil Ben Shalom

Sensors, 2022

Mimetic Neural Networks: A Unified Framework for Protein Design and Folding.

[BibT_eX]

[DOI]

Frontiers Bioinform., 2022

ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators.

[BibT_eX]

[DOI]

Lars Ruthotto

CoRR, 2022

Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks.

[BibT_eX]

[DOI]

Nir Ben Zikri

CoRR, 2022

Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification.

[BibT_eX]

[DOI]

Sivan Sabato

Elad Yom-Tov

CoRR, 2022

Effective Learning of a GMRF Mixture Model.

[BibT_eX]

[DOI]

Shahaf E. Finder

Oren Freifeld

IEEE Access, 2022

Wavelet Feature Maps Compression for Image-to-Image CNNs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

pathGCN: Learning General Graph Spatial Operators from Paths.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Rethinking Unsupervised Neural Superpixel Segmentation.

[BibT_eX]

[DOI]

Nir Ben Zikri

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Full Waveform Inversion Using Extended and Simultaneous Sources.

[BibT_eX]

[DOI]

Sagi Buchatsky

SIAM J. Sci. Comput., 2021

Quantized convolutional neural networks through the lens of partial differential equations.

[BibT_eX]

[DOI]

CoRR, 2021

GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks.

[BibT_eX]

[DOI]

Benjamin Bodner

Gil Ben Shalom

CoRR, 2021

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods.

[BibT_eX]

[DOI]

Andrei Sharf

SIAM J. Imaging Sci., 2020

LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Multigrid-in-Channels Neural Network Architectures.

[BibT_eX]

[DOI]

CoRR, 2020

DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2019

Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods.

[BibT_eX]

[DOI]

Andrei Sharf

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

IMEXnet A Forward Stable Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Shifted Laplacian multigrid for the elastic Helmholtz equation.

[BibT_eX]

[DOI]

CoRR, 2018

Low-Cost Parameterizations of Deep Convolution Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Full Waveform Inversion Guided by Travel Time Tomography.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2017

jInv-a Flexible Julia Package for PDE Parameter Estimation.

[BibT_eX]

[DOI]

Lars Ruthotto

SIAM J. Sci. Comput., 2017

2016

A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression.

[BibT_eX]

[DOI]

Javier S. Turek

SIAM J. Sci. Comput., 2016

A fast marching algorithm for the factored eikonal equation.

[BibT_eX]

[DOI]

J. Comput. Phys., 2016

2015

Non-Galerkin Multigrid Based on Sparsified Smoothed Aggregation.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2015

2014

Aggregation-based adaptive algebraic multigrid for sparse linear systems.

[BibT_eX]

[DOI]

PhD thesis, 2014

A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation.

[BibT_eX]

[DOI]

Javier Turek

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

A Multilevel Iterated-Shrinkage Approach to l<sub>1</sub> Penalized Least-Squares Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

2011

On-the-Fly Adaptive Smoothed Aggregation Multigrid for Markov Chains.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2011

Fast multilevel methods for Markov chains.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2011

2010

Square and stretch multigrid for stochastic matrix eigenproblems.

[BibT_eX]

[DOI]