Eran Treister
Orcid: 0000-0002-5351-0966
According to our database1,
Eran Treister
authored at least 63 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, January, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations.
J. Comput. Phys., January, 2024
SIAM J. Sci. Comput., 2024
SIAM J. Sci. Comput., 2024
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation Using Compact Implicit Layers.
SIAM J. Sci. Comput., 2024
Pattern Recognit. Lett., 2024
Discret. Math., 2024
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SIAM J. Sci. Comput., June, 2023
SIAM J. Sci. Comput., June, 2023
Multigrid-Augmented Deep Learning for the Helmholtz Equation: Better Scalability with Compact Implicit Layers.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Sensors, 2022
Frontiers Bioinform., 2022
CoRR, 2022
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks.
CoRR, 2022
Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
SIAM J. Sci. Comput., 2021
Quantized convolutional neural networks through the lens of partial differential equations.
CoRR, 2021
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks.
CoRR, 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods.
SIAM J. Imaging Sci., 2020
IEEE J. Sel. Top. Signal Process., 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude.
Numer. Linear Algebra Appl., 2019
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
2017
SIAM J. Sci. Comput., 2017
2016
A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression.
SIAM J. Sci. Comput., 2016
2015
SIAM J. Sci. Comput., 2015
2014
PhD thesis, 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2012
A Multilevel Iterated-Shrinkage Approach to l<sub>1</sub> Penalized Least-Squares Minimization.
IEEE Trans. Signal Process., 2012
2011
SIAM J. Sci. Comput., 2011
2010
Numer. Linear Algebra Appl., 2010
2009
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use.
IBM J. Res. Dev., 2009