| Spectrum dependent learning curves in kernel regression and wide neural networks B Bordelon, A Canatar, C Pehlevan International Conference on Machine Learning, 1024-1034, 2020 | 220 | 2020 |
| Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks A Canatar, B Bordelon, C Pehlevan Nature communications 12 (1), 2914, 2021 | 206 | 2021 |
| Asymptotics of representation learning in finite Bayesian neural networks J Zavatone-Veth, A Canatar, B Ruben, C Pehlevan Advances in neural information processing systems 34, 24765-24777, 2021 | 51 | 2021 |
| Bandwidth enables generalization in quantum kernel models A Canatar, E Peters, C Pehlevan, SM Wild, R Shaydulin arXiv preprint arXiv:2206.06686, 2022 | 48 | 2022 |
| Out-of-Distribution Generalization in Kernel Regression A Canatar, B Bordelon, C Pehlevan Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 21 | 2021 |
| A spectral theory of neural prediction and alignment A Canatar, J Feather, A Wakhloo, SY Chung Advances in Neural Information Processing Systems 36, 47052-47080, 2023 | 8 | 2023 |
| A kernel analysis of feature learning in deep neural networks A Canatar, C Pehlevan 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 7 | 2022 |
| Statistical Mechanics of Generalization in Kernel Regression and Wide Neural Networks A Canatar Harvard University, 2022 | 3 | 2022 |
| Strong localization in suspended monolayer graphene by intervalley scattering C Yanik, V Sazgari, A Canatar, Y Vaheb, II Kaya Physical Review B 103 (8), 085437, 2021 | 1 | 2021 |
| Statistical Mechanics of Support Vector Regression A Canatar, SY Chung arXiv preprint arXiv:2412.05439, 2024 | | 2024 |
| Generalization of Quantum Kernel Methods R Shaydulin, A Canatar, E Peters, C Pehlevan, S Wild APS March Meeting Abstracts 2023, D73. 008, 2023 | | 2023 |
| Statistical Mechanics of Kernel Regression and Wide Neural Networks A Canatar, B Bordelon, C Pehlevan APS March Meeting Abstracts 2022, F09. 005, 2022 | | 2022 |
| Non-Gaussian effects in finite Bayesian neural networks J Zavatone-Veth, A Canatar, B Ruben, C Pehlevan APS March Meeting Abstracts 2022, F09. 008, 2022 | | 2022 |
| Observation of insulating behavior and strong localization in suspended monolayer graphene C Yanik, Y Vaheb, A Canatar, V Sazgari, II Kaya APS March Meeting Abstracts 2016, K15. 004, 2016 | | 2016 |
Cengiz PehlevanHarvard UniversityE-mailová adresa ověřena na: seas.harvard.edu