Research output per year
Research output per year
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Dive into the research topics where Eran Treister is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Effective Learning of a GMRF Mixture Model
Finder, S. E., Treister, E. & Freifeld, O., 1 Jan 2022, In: IEEE Access. 10, p. 7289-7299 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multigrid-augmented deep learning preconditioners for the Helmholtz equation.
Azulay, Y. & Treister, E., 2022, (CoRR).Research output: Working paper/Preprint › Preprint
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pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso.
Shalom, G., Treister, E. & Yavneh, I., 2022, (CoRR).Research output: Working paper/Preprint › Preprint
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Wavelet Feature Maps Compression for Image-to-Image CNNs.
Finder, S. E., Zohav, Y., Ashkenazi, M. & Treister, E., 2022, (CoRR).Research output: Working paper/Preprint › Preprint
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Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver
Hong, T., Pham, T., Treister, E. & Unser, M., 8 Jul 2021.Research output: Working paper/Preprint › Preprint
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Full Waveform Inversion Using Extended and Simultaneous Sources
Buchatsky, S. & Treister, E., 2021, In: SIAM Journal of Scientific Computing. 43, 5, p. S862-S883Research output: Contribution to journal › Article › peer-review
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GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks.
Bodner, B. J., Shalom, G. B. & Treister, E., 2021, abs/2102.09298 ed., (CoRR).Research output: Working paper/Preprint › Preprint
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Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks.
Eliasof, M., Bodner, B. J. & Treister, E., 2021, (CoRR).Research output: Working paper/Preprint › Preprint
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Mimetic Neural Networks: A unified framework for Protein Design and Folding.
Eliasof, M., Boesen, T., Haber, E., Keasar, C. & Treister, E., 2021, abs/2102.03881 ed., (CoRR).Research output: Working paper/Preprint › Preprint
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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Eliasof, M., Haber, E. & Treister, E., 1 Jan 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3836-3849 14 p. (Advances in Neural Information Processing Systems; vol. 5).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review