Eran Treister

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 75

Top Topics

Top Venues

SIAM J. Sci. Comput.

Publications

Moshe Eliasof, Benjamin Jacob Bodner, Eran Treister
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Graph Neural Reaction Diffusion Models. SIAM J. Sci. Comput. 46 (4) (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS (2024)
Ivan I. Kyrchei, Eran Treister, Volodymyr O. Pelykh
The determinant of the Laplacian matrix of a quaternion unit gain graph. Discret. Math. 347 (6) (2024)
Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
Wavelet Convolutions for Large Receptive Fields. CoRR (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
An Over Complete Deep Learning Method for Inverse Problems. CoRR (2024)
Moshe Eliasof, Eran Treister
Global-Local Graph Neural Networks for Node-Classification. CoRR (2024)
Eran Treister, Rachel Yovel
A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations. J. Comput. Phys. 497 (2024)
Moshe Eliasof, Eran Treister
Global-local graph neural networks for node-classification. Pattern Recognit. Lett. 184 (2024)
Gal Shalom, Eran Treister, Irad Yavneh
pISTA: Preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. SIAM J. Sci. Comput. 46 (2) (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Feature Transportation Improves Graph Neural Networks. AAAI (2024)
Matan Goren, Eran Treister
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks. CoRR (2024)
Yakov Medvedovsky, Eran Treister, Tirza S. Routtenberg
Efficient Graph Laplacian Estimation by Proximal Newton. AISTATS (2024)
Moshe Eliasof, Eldad Haber, Eran Treister
Graph Neural Reaction Diffusion Models. CoRR (2024)
Bar Lerer, Ido Ben-Yair, Eran Treister
Multigrid-Augmented Deep Learning for the Helmholtz Equation: Better Scalability with Compact Implicit Layers. CoRR (2023)
Yael Azulay, Eran Treister
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation. SIAM J. Sci. Comput. 45 (3) (2023)
Moshe Eliasof, Eldad Haber, Eran Treister
DRIP: Deep Regularizers for Inverse Problems. CoRR (2023)
Yakov Medvedovsky, Eran Treister, Tirza Routtenberg
Efficient Graph Laplacian Estimation by a Proximal Newton Approach. CoRR (2023)
Rachel Yovel, Eran Treister
LFA-tuned matrix-free multigrid method for the elastic Helmholtz equation. CoRR (2023)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. 45 (3) (2023)
Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
NeRN: Learning Neural Representations for Neural Networks. ICLR (2023)
Moshe Eliasof, Eldad Haber, Eran Treister
ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks. CoRR (2023)
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
Graph Positional Encoding via Random Feature Propagation. ICML (2023)
Moshe Eliasof, Lars Ruthotto, Eran Treister
Improving Graph Neural Networks with Learnable Propagation Operators. ICML (2023)
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
Graph Positional Encoding via Random Feature Propagation. CoRR (2023)
Gal Shalom, Eran Treister, Irad Yavneh
pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. CoRR (2022)
Shahaf E. Finder, Eran Treister, Oren Freifeld
Effective Learning of a GMRF Mixture Model. IEEE Access 10 (2022)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Rethinking Unsupervised Neural Superpixel Segmentation. CoRR (2022)
Yael Azulay, Eran Treister
Multigrid-augmented deep learning preconditioners for the Helmholtz equation. CoRR (2022)
Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister
Wavelet Feature Maps Compression for Image-to-Image CNNs. NeurIPS (2022)
Benjamin Jacob Bodner, Gil Ben Shalom, Eran Treister
GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks. Sensors 22 (24) (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
pathGCN: Learning General Graph Spatial Operators from Paths. ICML (2022)
Sivan Sabato, Eran Treister, Elad Yom-Tov
Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification. CoRR (2022)
Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
NeRN - Learning Neural Representations for Neural Networks. CoRR (2022)
Moshe Eliasof, Lars Ruthotto, Eran Treister
ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
pathGCN: Learning General Graph Spatial Operators from Paths. CoRR (2022)
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
Mimetic Neural Networks: A Unified Framework for Protein Design and Folding. Frontiers Bioinform. 2 (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. CoRR (2022)
Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister
Wavelet Feature Maps Compression for Image-to-Image CNNs. CoRR (2022)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Rethinking Unsupervised Neural Superpixel Segmentation. ICIP (2022)
Moshe Eliasof, Nir Ben Zikri, Eran Treister
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks. CoRR (2022)
Ruth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. ECCV Workshops (7) (2022)
Moshe Eliasof, Eldad Haber, Eran Treister
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. CoRR (2021)
Benjamin J. Bodner, Gil Ben Shalom, Eran Treister
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks. CoRR (2021)
Sagi Buchatsky, Eran Treister
Full Waveform Inversion Using Extended and Simultaneous Sources. SIAM J. Sci. Comput. 43 (5) (2021)
Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister
Quantized convolutional neural networks through the lens of partial differential equations. CoRR (2021)
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
Mimetic Neural Networks: A unified framework for Protein Design and Folding. CoRR (2021)
Sagi Buchatsky, Eran Treister
Full waveform inversion using extended and simultaneous sources. CoRR (2021)
Moshe Eliasof, Eldad Haber, Eran Treister
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. NeurIPS (2021)
Moshe Eliasof, Benjamin J. Bodner, Eran Treister
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. CoRR (2021)
Moshe Eliasof, Eran Treister
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. CoRR (2020)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Shahaf E. Finder, Eran Treister, Oren Freifeld
Effective Learning of a GMRF Mixture Model. CoRR (2020)
Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks. CoRR (2020)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Neural Network Architectures. CoRR (2020)
Moshe Eliasof, Andrei Sharf, Eran Treister
Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods. SIAM J. Imaging Sci. 13 (1) (2020)
Moshe Eliasof, Eran Treister
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. NeurIPS (2020)
Moshe Eliasof, Andrei Sharf, Eran Treister
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods. CoRR (2019)
Eran Treister, Eldad Haber
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. Numer. Linear Algebra Appl. 26 (1) (2019)
Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
IMEXnet A Forward Stable Deep Neural Network. ICML (2019)
Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister
LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR (2019)
Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
IMEXnet: A Forward Stable Deep Neural Network. CoRR (2019)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR (2019)
Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber
Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR (2018)
Eran Treister
Shifted Laplacian multigrid for the elastic Helmholtz equation. CoRR (2018)
Eran Treister, Eldad Haber
Full Waveform Inversion Guided by Travel Time Tomography. SIAM J. Sci. Comput. 39 (5) (2017)
Lars Ruthotto, Eran Treister, Eldad Haber
jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. 39 (5) (2017)
Eran Treister, Eldad Haber
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. CoRR (2017)
Eran Treister, Javier S. Turek, Irad Yavneh
A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression. SIAM J. Sci. Comput. 38 (5) (2016)
Lars Ruthotto, Eran Treister, Eldad Haber
jInv - a flexible Julia package for PDE parameter estimation. CoRR (2016)
Eran Treister, Eldad Haber
A fast marching algorithm for the factored eikonal equation. J. Comput. Phys. 324 (2016)
Eran Treister, Javier S. Turek, Irad Yavneh
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression. CoRR (2016)
Eran Treister, Eldad Haber
Full waveform inversion guided by travel time tomography. CoRR (2016)
Eran Treister, Eldad Haber
A fast marching algorithm for the factored eikonal equation. CoRR (2016)
Eran Treister, Irad Yavneh
Non-Galerkin Multigrid Based on Sparsified Smoothed Aggregation. SIAM J. Sci. Comput. 37 (1) (2015)
Eran Treister, Javier Turek
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. NIPS (2014)
Eran Treister, Irad Yavneh
Penalized Least-Squares Minimization. IEEE Trans. Signal Process. 60 (12) (2012)
Hans De Sterck, Killian Miller, Eran Treister, Irad Yavneh
Fast multilevel methods for Markov chains. Numer. Linear Algebra Appl. 18 (6) (2011)
Eran Treister, Irad Yavneh
On-the-Fly Adaptive Smoothed Aggregation Multigrid for Markov Chains. SIAM J. Sci. Comput. 33 (5) (2011)
Eran Treister, Irad Yavneh
Square and stretch multigrid for stochastic matrix eigenproblems. Numer. Linear Algebra Appl. 17 (2-3) (2010)
Marina Biberstein, Shiri Dori-Hacohen, Yuval Harel, Andre Heilper, Bilha Mendelson, Uzi Shvadron, Eran Treister, Javier Turek, Moon S. Chang
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use. IBM J. Res. Dev. 53 (5) (2009)