Eran Treister - RankMe

102 papers A* 12A 3B 1Journal 80Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The determinant of the adjacency matrix of a quaternion unit gain graph. Discret. Math. Ivan I. Kyrchei, Eran Treister, Volodymyr O. Pelykh
2025	A*	`conf`	Disparate Conditional Prediction in Multiclass Classifiers. ICML Sivan Sabato, Eran Treister, Elad Yom-Tov
2025	A*	`conf`	Improving the Effective Receptive Field of Message-Passing Neural Networks. ICML Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister
2025	J	`jnl`	Improving the Effective Receptive Field of Message-Passing Neural Networks. CoRR Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister
2025	J	`jnl`	Reversing Large Language Models for Efficient Training and Fine-Tuning. CoRR Eshed Gal, Moshe Eliasof, Javier Turek, Uri M. Ascher, Eran Treister, Eldad Haber
2025	J	`jnl`	The immersed boundary method: an accelerated SIMPLE approach for moving bodies. CoRR Rachel Yovel, Eran Treister, Yuri Feldman
2025	J	`jnl`	Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. CoRR Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Eldad Haber, Eran Treister
2025	J	`jnl`	Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. Trans. Mach. Learn. Res. Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Ivan I. Kyrchei, Eldad Haber, Eran Treister
2025	J	`jnl`	Understanding and Improving Laplacian Positional Encodings For Temporal GNNs. CoRR Yaniv Galron, Fabrizio Frasca, Haggai Maron, Eran Treister, Moshe Eliasof
2025	—	`conf`	Understanding and Improving Laplacian Positional Encodings for Temporal GNNs. ECML/PKDD (2) Yaniv Galron, Fabrizio Frasca, Haggai Maron, Eran Treister, Moshe Eliasof
2025	J	`jnl`	Vanka-smoothed shifted Laplacian multigrid preconditioners for the Helmholtz equations. CoRR Rachel Yovel, Yunhui He, Eran Treister
2025	—	`conf`	Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning. ECML/PKDD (4) Maor Ashkenazi, Ofir Brenner, Tal Furman Shohet, Eran Treister
2025	J	`jnl`	Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning. CoRR Maor Ashkenazi, Ofir Brenner, Tal Furman Shohet, Eran Treister
2024	J	`jnl`	A block-acoustic preconditioner for the elastic Helmholtz equation. CoRR Rachel Yovel, Eran Treister
2024	J	`jnl`	A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations. J. Comput. Phys. Eran Treister, Rachel Yovel
2024	J	`jnl`	An Over Complete Deep Learning Method for Inverse Problems. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2024	A	`conf`	Efficient Graph Laplacian Estimation by Proximal Newton. AISTATS Yakov Medvedovsky, Eran Treister, Tirza S. Routtenberg
2024	A	`conf`	Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. ECAI Moshe Eliasof, Eldad Haber, Eran Treister
2024	A*	`conf`	Feature Transportation Improves Graph Neural Networks. AAAI Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Global-Local Graph Neural Networks for Node-Classification. CoRR Moshe Eliasof, Eran Treister
2024	J	`jnl`	Global-local graph neural networks for node-classification. Pattern Recognit. Lett. Moshe Eliasof, Eran Treister
2024	J	`jnl`	Graph Neural Reaction Diffusion Models. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Graph Neural Reaction Diffusion Models. SIAM J. Sci. Comput. Moshe Eliasof, Eldad Haber, Eran Treister
2024	J	`jnl`	Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Moshe Eliasof, Benjamin Jacob Bodner, Eran Treister
2024	J	`jnl`	LFA-Tuned Matrix-Free Multigrid Method for the Elastic Helmholtz Equation. SIAM J. Sci. Comput. Rachel Yovel, Eran Treister
2024	J	`jnl`	Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation Using Compact Implicit Layers. SIAM J. Sci. Comput. Bar Lerer, Ido Ben-Yair, Eran Treister
2024	A	`conf`	On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
2024	J	`jnl`	On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
2024	J	`jnl`	Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks. CoRR Matan Goren, Eran Treister
2024	J	`jnl`	The determinant of the Laplacian matrix of a quaternion unit gain graph. Discret. Math. Ivan I. Kyrchei, Eran Treister, Volodymyr O. Pelykh
2024	A*	`conf`	Towards Croppable Implicit Neural Representations. NeurIPS Maor Ashkenazi, Eran Treister
2024	J	`jnl`	Towards Croppable Implicit Neural Representations. CoRR Maor Ashkenazi, Eran Treister
2024	—	`conf`	Wavelet Convolutions for Large Receptive Fields. ECCV (54) Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
2024	J	`jnl`	Wavelet Convolutions for Large Receptive Fields. CoRR Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
2024	J	`jnl`	pISTA: Preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. SIAM J. Sci. Comput. Gal Shalom, Eran Treister, Irad Yavneh
2023	J	`jnl`	ADR-GNN: Advection-Diffusion-Reaction Graph Neural Networks. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2023	J	`jnl`	DRIP: Deep Regularizers for Inverse Problems. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2023	J	`jnl`	Efficient Graph Laplacian Estimation by a Proximal Newton Approach. CoRR Yakov Medvedovsky, Eran Treister, Tirza Routtenberg
2023	A*	`conf`	Graph Positional Encoding via Random Feature Propagation. ICML Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023	J	`jnl`	Graph Positional Encoding via Random Feature Propagation. CoRR Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023	A*	`conf`	Improving Graph Neural Networks with Learnable Propagation Operators. ICML Moshe Eliasof, Lars Ruthotto, Eran Treister
2023	J	`jnl`	LFA-tuned matrix-free multigrid method for the elastic Helmholtz equation. CoRR Rachel Yovel, Eran Treister
2023	J	`jnl`	MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
2023	J	`jnl`	Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation. SIAM J. Sci. Comput. Yael Azulay, Eran Treister
2023	J	`jnl`	Multigrid-Augmented Deep Learning for the Helmholtz Equation: Better Scalability with Compact Implicit Layers. CoRR Bar Lerer, Ido Ben-Yair, Eran Treister
2023	A*	`conf`	NeRN: Learning Neural Representations for Neural Networks. ICLR Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
2022	J	`jnl`	Effective Learning of a GMRF Mixture Model. IEEE Access Shahaf E. Finder, Eran Treister, Oren Freifeld
2022	J	`jnl`	Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2022	J	`jnl`	GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks. Sensors Benjamin Jacob Bodner, Gil Ben Shalom, Eran Treister
2022	J	`jnl`	Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification. CoRR Sivan Sabato, Eran Treister, Elad Yom-Tov
2022	J	`jnl`	Mimetic Neural Networks: A Unified Framework for Protein Design and Folding. Frontiers Bioinform. Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
2022	J	`jnl`	Multigrid-augmented deep learning preconditioners for the Helmholtz equation. CoRR Yael Azulay, Eran Treister
2022	J	`jnl`	NeRN - Learning Neural Representations for Neural Networks. CoRR Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
2022	B	`conf`	Rethinking Unsupervised Neural Superpixel Segmentation. ICIP Moshe Eliasof, Nir Ben Zikri, Eran Treister
2022	J	`jnl`	Rethinking Unsupervised Neural Superpixel Segmentation. CoRR Moshe Eliasof, Nir Ben Zikri, Eran Treister
2022	—	`conf`	Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. ECCV Workshops (7) Ruth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister
2022	J	`jnl`	Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks. CoRR Moshe Eliasof, Nir Ben Zikri, Eran Treister
2022	A*	`conf`	Wavelet Feature Maps Compression for Image-to-Image CNNs. NeurIPS Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister
2022	J	`jnl`	Wavelet Feature Maps Compression for Image-to-Image CNNs. CoRR Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister
2022	J	`jnl`	pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. CoRR Gal Shalom, Eran Treister, Irad Yavneh
2022	A*	`conf`	pathGCN: Learning General Graph Spatial Operators from Paths. ICML Moshe Eliasof, Eldad Haber, Eran Treister
2022	J	`jnl`	pathGCN: Learning General Graph Spatial Operators from Paths. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2022	J	`jnl`	ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR Moshe Eliasof, Lars Ruthotto, Eran Treister
2021	J	`jnl`	Full Waveform Inversion Using Extended and Simultaneous Sources. SIAM J. Sci. Comput. Sagi Buchatsky, Eran Treister
2021	J	`jnl`	Full waveform inversion using extended and simultaneous sources. CoRR Sagi Buchatsky, Eran Treister
2021	J	`jnl`	GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks. CoRR Benjamin Bodner, Gil Ben Shalom, Eran Treister
2021	J	`jnl`	Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. CoRR Moshe Eliasof, Benjamin Bodner, Eran Treister
2021	J	`jnl`	Mimetic Neural Networks: A unified framework for Protein Design and Folding. CoRR Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
2021	A*	`conf`	PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. NeurIPS Moshe Eliasof, Eldad Haber, Eran Treister
2021	J	`jnl`	PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. CoRR Moshe Eliasof, Eldad Haber, Eran Treister
2021	J	`jnl`	Quantized convolutional neural networks through the lens of partial differential equations. CoRR Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister
2020	A*	`conf`	DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. NeurIPS Moshe Eliasof, Eran Treister
2020	J	`jnl`	DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling. CoRR Moshe Eliasof, Eran Treister
2020	J	`jnl`	Effective Learning of a GMRF Mixture Model. CoRR Shahaf E. Finder, Eran Treister, Oren Freifeld
2020	J	`jnl`	LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
2020	J	`jnl`	Multigrid-in-Channels Neural Network Architectures. CoRR Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
2020	J	`jnl`	Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods. SIAM J. Imaging Sci. Moshe Eliasof, Andrei Sharf, Eran Treister
2019	J	`jnl`	A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. Numer. Linear Algebra Appl. Eran Treister, Eldad Haber
2019	A*	`conf`	IMEXnet A Forward Stable Deep Neural Network. ICML Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	IMEXnet: A Forward Stable Deep Neural Network. CoRR Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
2019	J	`jnl`	LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister
2019	J	`jnl`	Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods. CoRR Moshe Eliasof, Andrei Sharf, Eran Treister
2018	J	`jnl`	Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber
2018	J	`jnl`	Shifted Laplacian multigrid for the elastic Helmholtz equation. CoRR Eran Treister
2017	J	`jnl`	A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude. CoRR Eran Treister, Eldad Haber
2017	J	`jnl`	Full Waveform Inversion Guided by Travel Time Tomography. SIAM J. Sci. Comput. Eran Treister, Eldad Haber
2017	J	`jnl`	jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. Lars Ruthotto, Eran Treister, Eldad Haber
2016	J	`jnl`	A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression. SIAM J. Sci. Comput. Eran Treister, Javier S. Turek, Irad Yavneh
2016	J	`jnl`	A fast marching algorithm for the factored eikonal equation. CoRR Eran Treister, Eldad Haber
2016	J	`jnl`	A fast marching algorithm for the factored eikonal equation. J. Comput. Phys. Eran Treister, Eldad Haber
2016	J	`jnl`	A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression. CoRR Eran Treister, Javier S. Turek, Irad Yavneh
2016	J	`jnl`	Full waveform inversion guided by travel time tomography. CoRR Eran Treister, Eldad Haber
2016	J	`jnl`	jInv - a flexible Julia package for PDE parameter estimation. CoRR Lars Ruthotto, Eran Treister, Eldad Haber
2015	J	`jnl`	Non-Galerkin Multigrid Based on Sparsified Smoothed Aggregation. SIAM J. Sci. Comput. Eran Treister, Irad Yavneh
2014	—	`conf`	A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. NIPS Eran Treister, Javier Turek
2014	—	`—`	Aggregation-based adaptive algebraic multigrid for sparse linear systems. Eran Treister
2012	J	`jnl`	A Multilevel Iterated-Shrinkage Approach to l IEEE Trans. Signal Process. Eran Treister, Irad Yavneh
2011	J	`jnl`	Fast multilevel methods for Markov chains. Numer. Linear Algebra Appl. Hans De Sterck, Killian Miller, Eran Treister, Irad Yavneh
2011	J	`jnl`	On-the-Fly Adaptive Smoothed Aggregation Multigrid for Markov Chains. SIAM J. Sci. Comput. Eran Treister, Irad Yavneh
2010	J	`jnl`	Square and stretch multigrid for stochastic matrix eigenproblems. Numer. Linear Algebra Appl. Eran Treister, Irad Yavneh
2009	J	`jnl`	Cell Broadband Engine processor performance optimization: Tracing tools implementation and use. IBM J. Res. Dev. Marina Biberstein, Shiri Dori-Hacohen, Yuval Harel, Andre Heilper, Bilha Mendelson, Uzi Shvadron, Eran Treister, Javier Turek, Moon S. Chang