| 2025 | ICML | Improving the Effective Receptive Field of Message-Passing Neural Networks. | Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister |
| 2025 | ICML | Disparate Conditional Prediction in Multiclass Classifiers. | Sivan Sabato, Eran Treister, Elad Yom-Tov |
| 2024 | AAAI | Feature Transportation Improves Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | AISTATS | On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schnlieb |
| 2024 | AISTATS | Efficient Graph Laplacian Estimation by Proximal Newton. | Yakov Medvedovsky, Eran Treister, Tirza S. Routtenberg |
| 2024 | ECAI | Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | ECCV | Wavelet Convolutions for Large Receptive Fields. | Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld |
| 2023 | ICLR | NeRN: Learning Neural Representations for Neural Networks. | Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister |
| 2023 | ICML | Graph Positional Encoding via Random Feature Propagation. | Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron |
| 2023 | ICML | Improving Graph Neural Networks with Learnable Propagation Operators. | Moshe Eliasof, Lars Ruthotto, Eran Treister |
| 2022 | ECCV | Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. | Ruth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister |
| 2022 | ICIP | Rethinking Unsupervised Neural Superpixel Segmentation. | Moshe Eliasof, Nir Ben Zikri, Eran Treister |
| 2022 | ICML | pathGCN: Learning General Graph Spatial Operators from Paths. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2019 | ICML | IMEXnet A Forward Stable Deep Neural Network. | Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto |