Eran Treister

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35 Article
12 Conference contribution
11 Conference article
8 Preprint
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- 1 Paper

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
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 Access
1 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
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
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-November
Research output: Contribution to journal › Article › peer-review
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
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
494 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
1 Scopus citations
A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations
Treister, E. & Yovel, R., 15 Jan 2024, In: Journal of Computational Physics. 497, 112622.
Research output: Contribution to journal › Article › peer-review
3 Scopus citations

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
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

2 Finished
5 Active

Harnessing classical and deep learning methods for the solution of the Helmholtz equations
Treister, E. (PI)
Israel Science Foundation
1/01/23 → 31/12/26
Project: Research
Harnessing classical and deep learning methods for the solution of the Helmholtz equations
Treister, E. (PI)
Israel Science Foundation
1/01/23 → 31/12/26
Project: Research
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
High performance computing system for a computational science lab
Treister, E. (PI)
Israel Science Foundation
1/01/19 → …
Project: Research
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
Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations
Treister, E. (PI)
Israel Science Foundation
1/01/19 → 31/12/22
Project: Research
Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations
Treister, E. (PI)
Israel Science Foundation
1/01/19 → 31/12/22
Project: Research

Eran Treister

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A SIMPLE-based preconditioned solver for the direct-forcing immersed boundary method

The determinant of the adjacency matrix of a quaternion unit gain graph

An over complete deep learning method for inverse problems

Disparate Conditional Prediction in Multiclass Classifiers

Improving the Effective Receptive Field of Message-Passing Neural Networks

Towards Efficient Training of Graph Neural Networks: A Multiscale Approach

Understanding and Improving Laplacian Positional Encodings for Temporal GNNs

Wavelet Convolutions for Large Receptive Fields

Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning

A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations

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)

Reports from Ben-Gurion University of the Negev Describe Recent Advances in Mathematics (Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations)

Harnessing classical and deep learning methods for the solution of the Helmholtz equations

Harnessing classical and deep learning methods for the solution of the Helmholtz equations

NSF-BSF: Scalable Graph Neural Network Algorithms and Applications to PDEs

High performance computing system for a computational science lab

New Architectures and Algorithms For Continuous Convolutional Neural Networks

Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations

Efficient solvers for the three dimensional acoustic and elastic Helmholtz equations

Eran Treister

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media

Projects