Moshe Eliasof

Emaileliasofbgu.acil

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14 Article
12 Conference article
10 Conference contribution
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- 1 Paper

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
Siddiqui, M. S. R., Eliasof, M. & Haber, E., 1 Jan 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 30 ed. Association for the Advancement of Artificial Intelligence, p. 25463-25471 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 30).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Multiscale Training of Convolutional Neural Networks
Ahamed, S., Zakariaei, N., Haber, E. & Eliasof, M., 1 Jan 2026, In: Transactions on Machine Learning Research. 2026-February
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., 1 Jan 2026, 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
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
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Mantri, K. S. I., Schönlieb, C.-B., Ribeiro, B., Baskin, C. & Eliasof, M., 1 Jun 2025, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 25218-25229 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
ESTIMATION OF SINGLE-CELL AND TISSUE PERTURBATION EFFECT IN SPATIAL TRANSCRIPTOMICS VIA SPATIAL CAUSAL DISENTANGLEMENT
Megas, S., Chen, D. G., Polanski, K., Eliasof, M., Schönlieb, C. B. & Teichmann, S. A., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 82875-82900 26 p. (13th International Conference on Learning Representations, ICLR 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Graph Adaptive Autoregressive Moving Average Models
Eliasof, M., Gravina, A., Ceni, A., Gallicchio, C., Bacciu, D. & Schönlieb, C. B., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 15232-15265 34 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
Learning Regularization for Graph Inverse Problems
Eliasof, M., Siddiqui, M. S. R., Schönlieb, C. B. & Haber, E., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 16, p. 16471-16479 9 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Gravina, A., Eliasof, M., Gallicchio, C., Bacciu, D. & Schönlieb, C. B., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 16, p. 16906-16914 9 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
6 Scopus citations

Learning Representations in Graph and Convolutional Neural Networks
Eliasof, M. (Author), Treister, E. (Supervisor), 2024
Student thesis: Doctoral Thesis

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
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Moshe Eliasof

Personal profile

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Collaborations and top research areas from the last five years

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Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields

Multiscale Training of Convolutional Neural Networks

Understanding and Improving Laplacian Positional Encodings for Temporal GNNs

An over complete deep learning method for inverse problems

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations

ESTIMATION OF SINGLE-CELL AND TISSUE PERTURBATION EFFECT IN SPATIAL TRANSCRIPTOMICS VIA SPATIAL CAUSAL DISENTANGLEMENT

Graph Adaptive Autoregressive Moving Average Models

Improving the Effective Receptive Field of Message-Passing Neural Networks

Learning Regularization for Graph Inverse Problems

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems

Learning Representations in Graph and Convolutional Neural Networks

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

Moshe Eliasof

Personal profile

Fingerprint

Collaborations and top research areas from the last five years

Research output

Thesis

Press/Media