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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Collaborations and top research areas from the last five years
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A BLOCK-ACOUSTIC PRECONDITIONER FOR THE ELASTIC HELMHOLTZ EQUATION\ast
Yovel, R. & Treister, E., 1 Jan 2026, In: SIAM Journal on Scientific Computing. 48, 4, p. A1898-A1924Research output: Contribution to journal › Article › peer-review
Open Access -
A SIMPLE-based preconditioned solver for the direct-forcing immersed boundary method
Yovel, R., Treister, E. & Feldman, Y., 1 May 2026, In: Computer Methods in Applied Mechanics and Engineering. 453, 118833.Research output: Contribution to journal › Article › peer-review
Open Access -
The determinant of the adjacency matrix of a quaternion unit gain graph
Kyrchei, I. I., Treister, E. & Pelykh, V. O., 1 Jan 2026, In: Discrete Mathematics. 349, 1, 114659.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
An over complete deep learning method for inverse problems
Eliasof, M., Haber, E. & Treister, E., 1 Mar 2025, In: Foundations of Data Science. 7, 1, p. 50-71 22 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Disparate Conditional Prediction in Multiclass Classifiers
Sabato, S., Treister, E. & Yom-Tov, E., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 52508-52525 18 p.Research output: Contribution to journal › Conference article › peer-review
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Improving the Effective Receptive Field of Message-Passing Neural Networks
Finder, S. E., Weber, R. S., Eliasof, M., Freifeld, O. & Treister, E., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 17203-17220 18 p.Research output: Contribution to journal › Conference article › peer-review
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Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
Gal, E., Eliasof, M., Schönlieb, C. B., Kyrchei, I. I., Haber, E. & Treister, E., 1 Jan 2025, In: Transactions on Machine Learning Research. 2025-NovemberResearch output: Contribution to journal › Article › peer-review
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Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
Galron, Y., Frasca, F., Maron, H., Treister, E. & Eliasof, M., 4 Oct 2025, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Jorge, A. M., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P. & Abreu, P. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 420-437 18 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Wavelet Convolutions for Large Receptive Fields
Finder, S. E., Amoyal, R., Treister, E. & Freifeld, O., 1 Jan 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 363-380 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15112 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
642 Scopus citations -
Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning
Ashkenazi, M., Brenner, O., Shohet, T. F. & Treister, E., 4 Oct 2025, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 187-204 18 p. (Lecture Notes in Computer Science; vol. 16016 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations
Press/Media
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Studies from Ben-Gurion University of the Negev Update Current Data on Applied Mechanics and Engineering (A Simple-based Preconditioned Solver for the Direct-forcing Immersed Boundary Method)
Treister, E., Feldman, Y. & Yovel, R.
4/05/26
1 item of Media coverage
Press/Media
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Reports from Ben-Gurion University of the Negev Describe Recent Advances in Mathematics (Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations)
Treister, E., Ben-Yair, I. & Eliasof, M.
1/12/22
1 item of Media coverage
Press/Media
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Harnessing classical and deep learning methods for the solution of the Helmholtz equations
Treister, E. (PI)
1/01/23 → 31/12/26
Project: Research
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NSF-BSF: Scalable Graph Neural Network Algorithms and Applications to PDEs
Treister, E. (PI) & Ruthotto, L. (CoPI)
United States-Israel Binational Science Foundation (BSF)
1/01/23 → …
Project: Research
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Harnessing classical and deep learning methods for the solution of the Helmholtz equations
Treister, E. (PI)
1/01/23 → 31/12/26
Project: Research
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NSF-BSF: Scalable Graph Neural Network Algorithms and Applications to PDEs
Treister, E. (PI) & Ruthotto, L. (CoPI)
1/01/23 → …
Project: Research
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High performance computing system for a computational science lab
Treister, E. (PI)
1/01/19 → …
Project: Research
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New Architectures and Algorithms For Continuous Convolutional Neural Networks
Treister, E. (PI) & Ruthotto, L. (CoPI)
United States-Israel Binational Science Foundation (BSF)
1/01/18 → …
Project: Research
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Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations
Treister, E. (PI)
1/01/19 → 31/12/22
Project: Research
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Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations
Treister, E. (PI)
1/01/19 → 31/12/22
Project: Research