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Eran Treister
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2020 – today
- 2024
- [j27]Ivan I. Kyrchei
, Eran Treister, Volodymyr O. Pelykh:
The determinant of the Laplacian matrix of a quaternion unit gain graph. Discret. Math. 347(6): 113955 (2024) - [j26]Eran Treister
A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations. J. Comput. Phys. 497: 112622 (2024) - [j25]Moshe Eliasof
Global-local graph neural networks for node-classification. Pattern Recognit. Lett. 184: 103-110 (2024) - [j24]Gal Shalom, Eran Treister, Irad Yavneh:
pISTA: Preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. SIAM J. Sci. Comput. 46(2): S445-S466 (2024) - [j23]Moshe Eliasof
Graph Neural Reaction Diffusion Models. SIAM J. Sci. Comput. 46(4): 399- (2024) - [j22]Rachel Yovel, Eran Treister:
LFA-Tuned Matrix-Free Multigrid Method for the Elastic Helmholtz Equation. SIAM J. Sci. Comput. 46(5): S1-S21 (2024) - [j21]Bar Lerer, Ido Ben-Yair, Eran Treister:
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation Using Compact Implicit Layers. SIAM J. Sci. Comput. 46(5): S123-S144 (2024) - [j20]Moshe Eliasof, Benjamin Jacob Bodner
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4542-4553 (2024) - [c16]Moshe Eliasof, Eldad Haber, Eran Treister:
Feature Transportation Improves Graph Neural Networks. AAAI 2024: 11874-11882 - [c15]Yakov Medvedovsky, Eran Treister, Tirza S. Routtenberg:
Efficient Graph Laplacian Estimation by Proximal Newton. AISTATS 2024: 1171-1179 - [c14]Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb:
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS 2024: 1792-1800 - [c13]Moshe Eliasof, Eldad Haber, Eran Treister:
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. ECAI 2024: 2508-2515 - [c12]Shahaf E. Finder
Wavelet Convolutions for Large Receptive Fields. ECCV (54) 2024: 363-380 - [i43]Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb:
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR abs/2401.11074 (2024) - [i42]Moshe Eliasof, Eldad Haber, Eran Treister:
An Over Complete Deep Learning Method for Inverse Problems. CoRR abs/2402.04653 (2024) - [i41]Matan Goren, Eran Treister:
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks. CoRR abs/2405.17696 (2024) - [i40]Moshe Eliasof, Eran Treister:
Global-Local Graph Neural Networks for Node-Classification. CoRR abs/2406.10863 (2024) - [i39]Moshe Eliasof, Eldad Haber, Eran Treister:
Graph Neural Reaction Diffusion Models. CoRR abs/2406.10871 (2024) - [i38]Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld:
Wavelet Convolutions for Large Receptive Fields. CoRR abs/2407.05848 (2024) - [i37]Maor Ashkenazi, Eran Treister:
Towards Croppable Implicit Neural Representations. CoRR abs/2409.19472 (2024) - 2023
- [j19]Yael Azulay, Eran Treister:
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation. SIAM J. Sci. Comput. 45(3): S127-S151 (2023) - [j18]Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto
MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. 45(3): S307-S328 (2023) - [c11]Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister:
NeRN: Learning Neural Representations for Neural Networks. ICLR 2023 - [c10]Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron:
Graph Positional Encoding via Random Feature Propagation. ICML 2023: 9202-9223 - [c9]Moshe Eliasof, Lars Ruthotto
Improving Graph Neural Networks with Learnable Propagation Operators. ICML 2023: 9224-9245 - [i36]Yakov Medvedovsky, Eran Treister, Tirza Routtenberg:
Efficient Graph Laplacian Estimation by a Proximal Newton Approach. CoRR abs/2302.06434 (2023) - [i35]Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron:
Graph Positional Encoding via Random Feature Propagation. CoRR abs/2303.02918 (2023) - [i34]Moshe Eliasof, Eldad Haber, Eran Treister:
DRIP: Deep Regularizers for Inverse Problems. CoRR abs/2304.00015 (2023) - [i33]Bar Lerer, Ido Ben-Yair, Eran Treister:
Multigrid-Augmented Deep Learning for the Helmholtz Equation: Better Scalability with Compact Implicit Layers. CoRR abs/2306.17486 (2023) - [i32]Rachel Yovel, Eran Treister:
LFA-tuned matrix-free multigrid method for the elastic Helmholtz equation. CoRR abs/2307.03242 (2023) - [i31]Moshe Eliasof, Eldad Haber, Eran Treister:
ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks. CoRR abs/2307.16092 (2023) - 2022
- [j17]Shahaf E. Finder
Effective Learning of a GMRF Mixture Model. IEEE Access 10: 7289-7299 (2022) - [j16]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) - [j15]Benjamin Jacob Bodner
GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks. Sensors 22(24): 9772 (2022) - [c8]Ruth Akiva-Hochman
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. ECCV Workshops (7) 2022: 130-143 - [c7]Moshe Eliasof, Nir Ben Zikri, Eran Treister:
Rethinking Unsupervised Neural Superpixel Segmentation. ICIP 2022: 3500-3504 - [c6]Moshe Eliasof, Eldad Haber, Eran Treister:
pathGCN: Learning General Graph Spatial Operators from Paths. ICML 2022: 5878-5891 - [c5]Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister:
Wavelet Feature Maps Compression for Image-to-Image CNNs. NeurIPS 2022 - [i30]Yael Azulay, Eran Treister:
Multigrid-augmented deep learning preconditioners for the Helmholtz equation. CoRR abs/2203.11025 (2022) - [i29]Gal Shalom, Eran Treister, Irad Yavneh:
pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. CoRR abs/2205.10027 (2022) - [i28]Shahaf E. Finder, Yair Zohav, Maor Ashkenazi
Wavelet Feature Maps Compression for Image-to-Image CNNs. CoRR abs/2205.12268 (2022) - [i27]Sivan Sabato, Eran Treister, Elad Yom-Tov:
Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification. CoRR abs/2206.03234 (2022) - [i26]Moshe Eliasof, Nir Ben Zikri, Eran Treister:
Rethinking Unsupervised Neural Superpixel Segmentation. CoRR abs/2206.10213 (2022) - [i25]Moshe Eliasof, Eldad Haber, Eran Treister:
pathGCN: Learning General Graph Spatial Operators from Paths. CoRR abs/2207.07408 (2022) - [i24]Moshe Eliasof, Nir Ben Zikri, Eran Treister:
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks. CoRR abs/2210.11810 (2022) - [i23]Moshe Eliasof, Lars Ruthotto, Eran Treister:
ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR abs/2210.17224 (2022) - [i22]Moshe Eliasof, Eldad Haber, Eran Treister:
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. CoRR abs/2211.16631 (2022) - [i21]Maor Ashkenazi
NeRN - Learning Neural Representations for Neural Networks. CoRR abs/2212.13554 (2022) - 2021
- [j14]Sagi Buchatsky, Eran Treister:
Full Waveform Inversion Using Extended and Simultaneous Sources. SIAM J. Sci. Comput. 43(5): S862-S883 (2021) - [c4]Moshe Eliasof, Eldad Haber, Eran Treister:
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. NeurIPS 2021: 3836-3849 - [i20]Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister:
Mimetic Neural Networks: A unified framework for Protein Design and Folding. CoRR abs/2102.03881 (2021) - [i19]Sagi Buchatsky, Eran Treister:
Full waveform inversion using extended and simultaneous sources. CoRR abs/2102.06014 (2021) - [i18]Benjamin Bodner, Gil Ben Shalom, Eran Treister:
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks. CoRR abs/2102.09298 (2021) - [i17]Moshe Eliasof, Eldad Haber, Eran Treister:
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. CoRR abs/2108.01938 (2021) - [i16]Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister:
Quantized convolutional neural networks through the lens of partial differential equations. CoRR abs/2109.00095 (2021) - [i15]Moshe Eliasof, Benjamin Bodner, Eran Treister:
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. CoRR abs/2110.04824 (2021) - 2020
- [j13]Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 14(4): 894-904 (2020) - [j12]Moshe Eliasof, Andrei Sharf, Eran Treister
Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods. SIAM J. Imaging Sci. 13(1): 265-290 (2020) - [c3]Moshe Eliasof, Eran Treister:
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. NeurIPS 2020 - [i14]Shahaf E. Finder, Eran Treister, Oren Freifeld:
Effective Learning of a GMRF Mixture Model. CoRR abs/2005.09030 (2020) - [i13]Moshe Eliasof, Eran Treister
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. CoRR abs/2006.04115 (2020) - [i12]Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Neural Network Architectures. CoRR abs/2011.09128 (2020)
2010 – 2019
- 2019
- [j11]Eran Treister
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. Numer. Linear Algebra Appl. 26(1) (2019) - [c2]Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto:
IMEXnet A Forward Stable Deep Neural Network. ICML 2019: 2525-2534 - [i11]Eldad Haber, Keegan Lensink, Eran Treister
IMEXnet: A Forward Stable Deep Neural Network. CoRR abs/1903.02639 (2019) - [i10]Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR abs/1904.06952 (2019) - [i9]Moshe Eliasof, Andrei Sharf, Eran Treister:
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods. CoRR abs/1904.10379 (2019) - [i8]Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR abs/1910.13157 (2019) - 2018
- [i7]Eran Treister
Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR abs/1805.07821 (2018) - [i6]Eran Treister:
Shifted Laplacian multigrid for the elastic Helmholtz equation. CoRR abs/1806.11277 (2018) - 2017
- [j10]Lars Ruthotto
jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. 39(5) (2017) - [j9]Eran Treister
Full Waveform Inversion Guided by Travel Time Tomography. SIAM J. Sci. Comput. 39(5) (2017) - [i5]Eran Treister, Eldad Haber:
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. CoRR abs/1712.06091 (2017) - 2016
- [j8]Eran Treister
A fast marching algorithm for the factored eikonal equation. J. Comput. Phys. 324: 210-225 (2016) - [j7]Eran Treister
A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression. SIAM J. Sci. Comput. 38(5) (2016) - [i4]Lars Ruthotto, Eran Treister, Eldad Haber:
jInv - a flexible Julia package for PDE parameter estimation. CoRR abs/1606.07399 (2016) - [i3]Eran Treister, Javier S. Turek, Irad Yavneh:
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression. CoRR abs/1607.00315 (2016) - [i2]Eran Treister, Eldad Haber:
Full waveform inversion guided by travel time tomography. CoRR abs/1607.00968 (2016) - [i1]Eran Treister, Eldad Haber:
A fast marching algorithm for the factored eikonal equation. CoRR abs/1607.00973 (2016) - 2015
- [j6]Eran Treister
Non-Galerkin Multigrid Based on Sparsified Smoothed Aggregation. SIAM J. Sci. Comput. 37(1) (2015) - 2014
- [b1]Eran Treister:
Aggregation-based adaptive algebraic multigrid for sparse linear systems. Technion - Israel Institute of Technology, Israel, 2014 - [c1]Eran Treister, Javier Turek:
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. NIPS 2014: 927-935 - 2012
- [j5]Eran Treister
A Multilevel Iterated-Shrinkage Approach to l1 Penalized Least-Squares Minimization. IEEE Trans. Signal Process. 60(12): 6319-6329 (2012) - 2011
- [j4]Hans De Sterck, Killian Miller, Eran Treister
Fast multilevel methods for Markov chains. Numer. Linear Algebra Appl. 18(6): 961-980 (2011) - [j3]Eran Treister
On-the-Fly Adaptive Smoothed Aggregation Multigrid for Markov Chains. SIAM J. Sci. Comput. 33(5): 2927-2949 (2011) - 2010
- [j2]Eran Treister
Square and stretch multigrid for stochastic matrix eigenproblems. Numer. Linear Algebra Appl. 17(2-3): 229-251 (2010)
2000 – 2009
- 2009
- [j1]Marina Biberstein, Shiri Dori-Hacohen, Yuval Harel, Andre Heilper, Bilha Mendelson, Uzi Shvadron, Eran Treister
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use. IBM J. Res. Dev. 53(5): 7 (2009)
Coauthor Index
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last updated on 2024-12-03 21:23 CET by the dblp team
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