| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 247 | 2021 |
| A large-scale dataset for argument quality ranking: Construction and analysis S Gretz, R Friedman, E Cohen-Karlik, A Toledo, D Lahav, R Aharonov, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7805-7813, 2020 | 141 | 2020 |
| Automatic argument quality assessment--new datasets and methods A Toledo, S Gretz, E Cohen-Karlik, R Friedman, E Venezian, D Lahav, ... arXiv preprint arXiv:1909.01007, 2019 | 101 | 2019 |
| Learning to combine grammatical error corrections Y Kantor, Y Katz, L Choshen, E Cohen-Karlik, N Liberman, A Toledo, ... arXiv preprint arXiv:1906.03897, 2019 | 43 | 2019 |
| The workweek is the best time to start a family--A Study of GPT-2 Based Claim Generation S Gretz, Y Bilu, E Cohen-Karlik, N Slonim arXiv preprint arXiv:2010.06185, 2020 | 37 | 2020 |
| Regularizing towards permutation invariance in recurrent models E Cohen-Karlik, A Ben David, A Globerson Advances in Neural Information Processing Systems 33, 18364-18374, 2020 | 17 | 2020 |
| Quantification of osteoclasts in culture, powered by machine learning E Cohen-Karlik, Z Awida, A Bergman, S Eshed, O Nestor, M Kadashev, ... Frontiers in Cell and Developmental Biology 9, 674710, 2021 | 11 | 2021 |
| Learning low dimensional state spaces with overparameterized recurrent neural nets E Cohen-Karlik, I Menuhin-Gruman, R Giryes, N Cohen, A Globerson arXiv preprint arXiv:2210.14064, 2022 | 4 | 2022 |
| On the implicit bias of gradient descent for temporal extrapolation E Cohen-Karlik, AB David, N Cohen, A Globerson International Conference on Artificial Intelligence and Statistics, 10966-10981, 2022 | 4 | 2022 |
| Brief announcement: Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein Proceedings of the ACM Symposium on Principles of Distributed Computing, 367-369, 2017 | 4 | 2017 |
| Provable benefits of complex parameterizations for structured state space models Y Ran-Milo, E Lumbroso, E Cohen-Karlik, R Giryes, A Globerson, ... Advances in Neural Information Processing Systems 37, 115906-115939, 2025 | 2 | 2025 |
| Automated detection of reasoning in arguments A Gretz, A Toledo, E Cohen-Karlik, N Slonim US Patent App. 18/102,721, 2024 | 1 | 2024 |
| Implicit bias of policy gradient in linear quadratic control: extrapolation to unseen initial states N Razin, Y Alexander, E Cohen-Karlik, R Giryes, A Globerson, N Cohen arXiv preprint arXiv:2402.07875, 2024 | 1 | 2024 |
| Automated detection of reasoning in arguments A Gretz, E Cohen-Karlik, N Slonim, A Toledo US Patent 11,651,161, 2023 | 1 | 2023 |
| Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein preparation, February, 2017 | 1 | 2017 |
| On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach E Cohen-Karlik, I Zimerman, L Galanti, I Atad, A Globerson, L Wolf arXiv preprint arXiv:2502.02209, 2025 | | 2025 |
| Overcoming Order in Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman arXiv preprint arXiv:2402.03387, 2024 | | 2024 |
| Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network A Globerson, E Cohen-Karlik, I Menuhin-Gruman, N Cohen, R Giryes | | 2023 |
| Overcoming Order in Autoregressive Graph Generation for Molecule Generation E Cohen-Karlik, E Rozenberg, D Freedman Transactions on Machine Learning Research, 0 | | |
| Order Agnostic Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 0 | | |
