| Lavan: Localized and visible adversarial noise D Karmon, D Zoran, Y Goldberg International conference on machine learning, 2507-2515, 2018 | 275 | 2018 |
| Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia AS Vezhnevets, JP Agapiou, A Aharon, R Ziv, J Matyas, ... arXiv preprint arXiv:2312.03664, 2023 | 22 | 2023 |
| The automated copywriter: Algorithmic rephrasing of health-related advertisements to improve their performance B Youngmann, E Yom-Tov, R Gilad-Bachrach, D Karmon Proceedings of The Web Conference 2020, 1366-1377, 2020 | 8 | 2020 |
| Federated multilingual models for medical transcript analysis A Manoel, MCH Garcia, T Baumel, S Su, J Chen, R Sim, D Miller, ... Conference on Health, Inference, and Learning, 147-162, 2023 | 6 | 2023 |
| Algorithmic copywriting: Automated generation of health-related advertisements to improve their performance B Youngmann, E Yom-Tov, R Gilad-Bachrach, D Karmon Information Retrieval Journal 24 (3), 205-239, 2021 | 6 | 2021 |
| Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, and Dimitrios Dimitriadis. 2023. Federated Multilingual Models for Medical Transcript Analysis A Manoel, MCH Garcia, T Baumel Proceedings of the Conference on Health, Inference, and Learning …, 0 | 5 | |
| Risk minimization in structured prediction using orbit loss D Karmon, J Keshet arXiv preprint arXiv:1512.02033, 2015 | 3 | 2015 |
| LaVAN: Localized and Visible Adversarial Noise.” arXiv, Mar. 01, 2018. doi: 10.48550 D Karmon, D Zoran, Y Goldberg arXiv, 1801 | 2 | 1801 |
| Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis IR Galatzer-Levy, J McGiffin, D Munday, X Liu, D Karmon, I Labzovsky, ... arXiv preprint arXiv:2410.11756, 2024 | | 2024 |
| The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks IR Galatzer-Levy, D Munday, J McGiffin, X Liu, D Karmon, I Labzovsky, ... arXiv preprint arXiv:2410.07391, 2024 | | 2024 |
| The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended Requests L Madmoni, A Zait, I Labzovsky, D Karmon arXiv preprint arXiv:2409.14371, 2024 | | 2024 |
| System and Method for Federated Learning A Fireberger, H Bitran, S Admati, T Baumel, D Karmon US Patent App. 18/145,395, 2024 | | 2024 |
| Simulating Authentic User Personas to Generate Analytics for Evaluating Digital Products O Elyada, O Riva, A Aharon, I Hakimi, R Ziv, D Karmon | | 2024 |
| Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia A Sasha Vezhnevets, JP Agapiou, A Aharon, R Ziv, J Matyas, ... arXiv e-prints, arXiv: 2312.03664, 2023 | | 2023 |
| Algorithmic Rewriting of Health-Related Ads to Improve their Performance B Youngmann, R Gilad-Bachrach, D Karmon, E Yom-Tov | | 2019 |
| The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents C Smith, R Trivedi, J Clifton, L Hammond, A Khan, S Vezhnevets, ... NeurIPS 2024 Competition Track, 0 | | |
