| Efficient shallow learning as an alternative to deep learning Y Meir, O Tevet, Y Tzach, S Hodassman, RD Gross, I Kanter Scientific Reports 13 (1), 5423, 2023 | 20 | 2023 |
| Power-law scaling to assist with key challenges in artificial intelligence Y Meir, S Sardi, S Hodassman, K Kisos, I Ben-Noam, A Goldental, I Kanter Scientific reports 10 (1), 19628, 2020 | 18 | 2020 |
| Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms S Sardi, R Vardi, Y Meir, Y Tugendhaft, S Hodassman, A Goldental, ... Scientific reports 10 (1), 6923, 2020 | 17 | 2020 |
| Towards a universal mechanism for successful deep learning Y Meir, Y Tzach, S Hodassman, O Tevet, I Kanter Scientific Reports 14 (1), 5881, 2024 | 7 | 2024 |
| Learning on tree architectures outperforms a convolutional feedforward network Y Meir, I Ben-Noam, Y Tzach, S Hodassman, I Kanter Scientific Reports 13 (1), 962, 2023 | 7 | 2023 |
| Efficient shallow learning mechanism as an alternative to deep learning O Tevet, RD Gross, S Hodassman, T Rogachevsky, Y Tzach, Y Meir, ... Physica A: Statistical Mechanics and its Applications 635, 129513, 2024 | 6 | 2024 |
| The mechanism underlying successful deep learning Y Tzach, Y Meir, O Tevet, RD Gross, S Hodassman, R Vardi, I Kanter arXiv preprint arXiv:2305.18078, 2023 | 6 | 2023 |
| Enhancing the accuracies by performing pooling decisions adjacent to the output layer Y Meir, Y Tzach, RD Gross, O Tevet, R Vardi, I Kanter Scientific Reports 13 (1), 13385, 2023 | 3 | 2023 |
| Enhancing the success rates by performing pooling decisions adjacent to the output layer Y Meir, Y Tzach, RD Gross, O Tevet, R Vardi, I Kanter arXiv e-prints, arXiv: 2303.05800, 2023 | 3 | 2023 |
| Brain inspired neuronal silencing mechanism to enable reliable sequence identification S Hodassman, Y Meir, K Kisos, I Ben-Noam, Y Tugendhaft, A Goldental, ... Scientific Reports 12 (1), 16003, 2022 | 3 | 2022 |
| Scaling in Deep and Shallow Learning Architectures E Koresh, T Halevi, Y Meir, D Dilmoney, T Dror, R Gross, O Tevet, ... Physica A: Statistical Mechanics and its Applications, 129909, 2024 | 2 | 2024 |
| Advanced confidence methods in deep learning Y Meir, O Tevet, E Koresh, Y Tzach, I Kanter Physica A: Statistical Mechanics and its Applications 641, 129758, 2024 | 2 | 2024 |
| Universality of underlying mechanism for successful deep learning Y Meir, Y Tzach, S Hodassman, O Tevet, I Kanter arXiv preprint arXiv:2309.07537, 2023 | 2 | 2023 |
| Role of delay in brain dynamics Y Meir, O Tevet, Y Tzach, S Hodassman, I Kanter Physica A: Statistical Mechanics and its Applications 654, 130166, 2024 | 1 | 2024 |
| Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi E Koresh, RD Gross, Y Meir, Y Tzach, T Halevi, I Kanter arXiv preprint arXiv:2501.12900, 2025 | | 2025 |
| Advanced deep architecture pruning using single filter performance Y Tzach, Y Meir, RD Gross, O Tevet, E Koresh, I Kanter arXiv preprint arXiv:2501.12880, 2025 | | 2025 |
| Multilabel classification outperforms detection-based technique R Gross, E Koresh, T Halevi, S Hodassman, Y Meir, Y Tzach, I Kanter Physica A: Statistical Mechanics and its Applications 658, 130295, 2025 | | 2025 |
| Brain-inspired neuronal silencing mechanism to enable high-precision sequence identification S Hodassman, Y Meir, K Kisos, I Ben-Noam, Y Tugendhaft, A Goldental, ... arXiv e-prints, arXiv: 2203.13028, 2022 | | 2022 |
| Publisher Correction: Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms S Sardi, R Vardi, Y Meir, Y Tugendhaft, S Hodassman, A Goldental, ... Scientific Reports 10, 2020 | | 2020 |