| Design of RNAs: comparing programs for inverse RNA folding A Churkin, MD Retwitzer, V Reinharz, Y Ponty, J Waldispühl, D Barash Briefings in bioinformatics 19 (2), 350-358, 2018 | 95 | 2018 |
| System and method for improving machine learning models by detecting and removing inaccurate training data O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher US Patent 11,636,389, 2023 | 26 | 2023 |
| Graph neural networks use graphs when they shouldn't M Bechler-Speicher, I Amos, R Gilad-Bachrach, A Globerson Forty-first International Conference on Machine Learning, 2024 | 16 | 2024 |
| System and method for improving machine learning models based on confusion error evaluation O Elisha, A Luttwak, H Yehuda, A Kahana, MB Speicher US Patent 11,636,387, 2023 | 10 | 2023 |
| Iterative vectoring for constructing data driven machine learning models O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher US Patent 11,514,364, 2022 | 6 | 2022 |
| Cayley graph propagation JJ Wilson, M Bechler-Speicher, P Veličković Learning on Graph Conference 2024, 2024 | 5 | 2024 |
| Tree-g: Decision trees contesting graph neural networks M Bechler-Speicher, A Globerson, R Gilad-Bachrach Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11032 …, 2024 | 3 | 2024 |
| A crossing lemma for families of jordan curves with a bounded intersection number M Bechler-Speicher arXiv preprint arXiv:1911.07287, 2019 | 3 | 2019 |
| The Intelligible and Effective Graph Neural Additive Network M Bechler-Speicher, A Globerson, R Gilad-Bachrach Advances in Neural Information Processing Systems 37, 90552-90578, 2025 | 1 | 2025 |
| System and method for improving machine learning models by detecting and removing inaccurate training data O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher US Patent 11,928,567, 2024 | 1 | 2024 |
| Iterative vectoring for constructing data driven machine learning models O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher US Patent App. 18/050,364, 2023 | 1 | 2023 |
| Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers G Yehudai, C Sanford, M Bechler-Speicher, O Fischer, R Gilad-Bachrach, ... arXiv preprint arXiv:2503.01805, 2025 | | 2025 |
| Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks M Bechler-Speicher, B Finkelshtein, F Frasca, L Müller, J Tönshoff, ... arXiv preprint arXiv:2502.14546, 2025 | | 2025 |
| Towards Invariance to Node Identifiers in Graph Neural Networks M Bechler-Speicher, M Eliasof, CB Schonlieb, R Gilad-Bachrach, ... arXiv preprint arXiv:2502.13660, 2025 | | 2025 |
| A General Recipe for Contractive Graph Neural Networks--Technical Report M Bechler-Speicher, M Eliasof arXiv preprint arXiv:2411.01717, 2024 | | 2024 |
| On the Utilization of Unique Node Identifiers in Graph Neural Networks M Bechler-Speicher, M Eliasof, CB Schönlieb, R Gilad-Bachrach, ... arXiv preprint arXiv:2411.02271, 2024 | | 2024 |
| System and method for improving machine learning models by detecting and removing inaccurate training data O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher US Patent App. 18/426,735, 2024 | | 2024 |
| Graph Trees with Attention. M Bechler-Speicher, A Globerson, R Gilad-Bachrach CoRR, 2022 | | 2022 |
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il