Eran Treister
Cited by
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A fast marching algorithm for the factored eikonal equation
E Treister, E Haber
Journal of Computational Physics 324, 210-225, 2016
jInv--a flexible Julia package for PDE parameter estimation
L Ruthotto, E Treister, E Haber
SIAM Journal on Scientific Computing 39 (5), S702–S722, 2017
A block-coordinate descent approach for large-scale sparse inverse covariance estimation
E Treister, JS Turek
Advances in neural information processing systems 27, 2014
IMEXnet: A forward stable deep neural network
E Haber, K Lensink, E Treister, L Ruthotto
International Conference on Machine Learning (ICML) 2019, 2525-2534, 2019
Square and stretch multigrid for stochastic matrix eigenproblems
E Treister, I Yavneh
Numerical Linear Algebra with Applications 17 (2‐3), 229-251, 2010
Non-Galerkin multigrid based on sparsified smoothed aggregation.
E Treister, I Yavneh
SIAM Journal on Scientific Computing (SISC) 37 (1), A30–A54, 2015
Fast multilevel methods for Markov chains
HD Sterck, K Miller, E Treister, I Yavneh
Numerical Linear Algebra with Applications 18 (6), 961-980, 2011
A multilevel iterated-shrinkage approach to l-1 penalized least-squares minimization
E Treister, I Yavneh
Signal Processing, IEEE Transactions on 60 (12), 6319-6329, 2012
On-the-fly adaptive smoothed aggregation multigrid for Markov chains
E Treister, I Yavneh
SIAM Journal on Scientific Computing 33 (5), 2927-2949, 2011
Full waveform inversion guided by travel time tomography
E Treister, E Haber
SIAM Journal on Scientific Computing 39 (5), S587–S609, 2017
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
J Ephrath, M Eliasof, L Ruthotto, E Haber, E Treister
IEEE Journal of Selected Topics in Signal Processing 14 (4), 894 - 904, 2020
Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations
M Eliasof, E Haber, E Treister
Advances in Neural Information Processing Systems 34, 3836-3849, 2021
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression
E Treister, J Turek, I Yavneh
SIAM J. Sci. Comput. 38 (5), S566–S592, 2016
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
M Eliasof, E Treister
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) 2020, 2020
MGIC: Multigrid-in-Channels neural network architectures
M Eliasof, J Ephrath, L Ruthotto, E Treister
arXiv preprint arXiv:2011.09128, 2020
Multimodal 3D shape reconstruction under calibration uncertainty using parametric level set methods
M Eliasof, A Sharf, E Treister
SIAM Journal on Imaging Sciences 13 (1), 265-290, 2020
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude
E Treister, E Haber
Numerical Linear Algebra with Applications 26 (1), e2206, 2019
Mimetic neural networks: A unified framework for protein design and folding
M Eliasof, T Boesen, E Haber, C Keasar, E Treister
arXiv preprint arXiv:2102.03881, 2021
Algebraic collocation coarse approximation (ACCA) multigrid
E Treister, R Zemach, I Yavneh
12th Copper Mountain Conference on Iterative Methods, March 2012, 2012
Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Y Azulay, E Treister
arXiv preprint arXiv:2203.11025, 2022
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