Eran Treister

Journal and conference proceedings papers

Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister, Quantized convolutional neural networks through the lens of partial differential equations, submitted, 2021. (arXiv)

Tao Hong, Thanh-an Pham, Eran Treister, Michael Unser. Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver, submitted, 2021. (arXiv)

Yael Azulai and Eran Treister, Multigrid-augmented deep learning preconditioners for the Helmholtz equation, submitted, 2021.

Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister. MGIC: Multigrid-in-Channels Neural Network Architectures, submitted, 2020. (arXiv)

Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister. Mimetic Neural Networks: A unified framework for Protein Design and Folding, under review, 2021. (arXiv)

Shahaf E. Finder, Eran Treister, Oren Freifeld. Effective Learning of a GMRF Mixture Model, submitted, 2020. (arXiv)

Moshe Eliasof, Eldad Haber, Eran Treister.PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations, Accepted to 35th Conference on Neural Information Processing Systems (NeurIPS), 2021. (arXiv)

Sagi Buchatsky and Eran Treister, Full waveform inversion using extended and simultaneous sources , SIAM Journal on Scientific Computing, 0, S862--S883, 2021. (arXiv)(SISC)

Moshe Eliasof, Eran Treister.DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling, 34th Conference on Neural Information Processing Systems (NeurIPS), 2020. (arXiv),(NeurIPS)

Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister. LeanConvNets: A Low-cost Yet Effective Convolutional Residual Networks, Journal of Selected Topics in Signal Processing, 14, 4, 894-904, 2020. (arXiv)(JSTSP)

Moshe Eliasof, Andrei Sharf, and Eran Treister, Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods, SIAM J. Imaging Sciences, 13(1), 265–290, 2020. (arXiv)(SIIMS)

Eran Treister, Shifted Laplacian Multigrid for the Elastic Helmholtz Equation, 2018. (arXiv)

Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto. IMEXnet - A Forward Stable Deep Neural Network, 36th International Conference on Machine Learning (ICML), Long Beach, CA, USA, 2019. (arXiv)(ICML)

Welcome!

Eran Treister and Eldad Haber, A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude, Numerical Linear Algebra with Applications, 26 (1), e2206, 2019. (pdf) (NLAA)

Welcome!

Lars Ruthotto, Eran Treister and Eldad Haber, jInv--a flexible Julia package for PDE parameter estimation, SIAM Journal on Scientific Computing, 39 (5), S702-S722, 2017. (pdf)(SISC)

Welcome!

Eran Treister and Eldad Haber, Full waveform inversion guided by travel time tomography, SIAM Journal on Scientific Computing, 39 (5), S587-S609, 2017. (pdf)(SISC)

Welcome!

Eran Treister and Eldad Haber, A fast marching algorithm for the factored eikonal equation, Journal of Computational Physics, 324, 210-225, 2016. (pdf)(JCP)

Welcome!

Eran Treister, Javier Turek and Irad Yavneh, A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression SIAM Journal on Scientific Computing, 38 (5), S566–S592, 2016. (pdf)(SISC)

Welcome!

Eran Treister and Javier Turek, A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation, Neural Information Processing Systems (NIPS), Dec. 2014. (pdf)(NIPS)

Eran Treister and Irad Yavneh, Non-Galerkin Multigrid based on Sparsified Smoothed Aggregation. SIAM Journal on Scientific Computing, 37 (1), A30-A54, 2015. (pdf)(SISC)

Eran Treister and Irad Yavneh, A Multilevel Iterated-Shrinkage Approach to l1 Penalized Least-Squares Minimization. IEEE Trans. on Signal Processing, 60, 12, 6319-6329, 2012. (pdf)(IEEE-TSP)

Hans De Sterck, Killian Miller, Eran Treister and Irad Yavneh, Fast Multilevel Methods for Markov-Chains. Numerical Linear Algebra with Applications, 18, 6, 961-980, 2011. (pdf)(NLAA)

Eran Treister and Irad Yavneh, On-the-fly Adaptive Smoothed Aggregation Multigrid for Markov-Chains. SIAM Journal on Scientific Computing, 33, 2927-2949, 2011.(pdf)(SISC)

Eran Treister and Irad Yavneh, Square and Stretch Multigrid for Stochastic Matrix Eigenproblems. Numerical Linear Algebra with Applications, 17, 229-251, 2010.(pdf)(NLAA)

Selected workshop abstracts and reports

Benjamin J. Bodner, Gil Ben Shalom, Eran Treister. GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks, IJCAI Workshop on Data Science Meets Optimization, 2021. (arXiv)

Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister. LeanResNet: A Low-cost yet Effective Convolutional Residual Networks, ICML Workshop on On-Device Machine Learning and Compact Deep Neural Network Representations (ODML-CDNNR), Long Beach, CA, USA, 2019. (arXiv)

Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, and Eldad Haber, Low-Cost Parameterizations of Deep Convolution Neural Networks, ICSEE Symposium on Advances in Deep Learning, Eilat, Israel, 2018. (arXiv)

Welcome!

Eran Treister and Eldad Haber Joint Full Waveform Inversion and Travel Time Tomography. 78th EAGE Conference & Exhibition 2016. (EAGE)

Javier Turek and Eran Treister, A Multilevel Acceleration for l1-regularized Logistic Regression. Optimization Workshop at NIPS, Dec. 2015. (pdf)

Welcome!

Eran Treister, Javier Turek and Irad Yavneh, A Multilevel Framework for Sparse Inverse Covariance Estimation. Optimization Workshop at NIPS, Dec. 2014. (pdf)

Eran Treister, Aggregation-based Adaptive Algebraic Multigrid for Sparse Linear Systems. PhD Dissertation, Computer Science, Technion, 2014. Advisor: Prof. Irad Yavneh. (pdf)

Eran Treister, Ran Zemach and Irad Yavneh. Algebraic Collocation Coarse Approximation (ACCA) Multigrid. 12th Copper Mountain Conference on Iterative Methods, March 2012.(pdf)