| Fourier features let networks learn high frequency functions in low dimensional domains M Tancik, P Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ... Advances in neural information processing systems 33, 7537-7547, 2020 | 2529 | 2020 |
| Plenoxels: Radiance fields without neural networks S Fridovich-Keil, A Yu, M Tancik, Q Chen, B Recht, A Kanazawa IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 1663* | 2022 |
| K-planes: Explicit radiance fields in space, time, and appearance S Fridovich-Keil, G Meanti, FR Warburg, B Recht, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 477 | 2023 |
| A meta-analysis of overfitting in machine learning R Roelofs, V Shankar, B Recht, S Fridovich-Keil, M Hardt, J Miller, ... Advances in Neural Information Processing Systems 32, 2019 | 245 | 2019 |
| Neural kernels without tangents V Shankar, A Fang, W Guo, S Fridovich-Keil, J Ragan-Kelley, L Schmidt, ... International conference on machine learning, 8614-8623, 2020 | 104 | 2020 |
| When does dough become a bagel? analyzing the remaining mistakes on imagenet V Vasudevan, B Caine, R Gontijo Lopes, S Fridovich-Keil, R Roelofs Advances in Neural Information Processing Systems 35, 6720-6734, 2022 | 56 | 2022 |
| Spectral bias in practice: The role of function frequency in generalization S Fridovich-Keil, R Gontijo Lopes, R Roelofs Advances in Neural Information Processing Systems 35, 7368-7382, 2022 | 30 | 2022 |
| Neural microfacet fields for inverse rendering A Mai, D Verbin, F Kuester, S Fridovich-Keil Proceedings of the IEEE/CVF International Conference on Computer Vision, 408-418, 2023 | 20 | 2023 |
| Choosing the step size: intuitive line search algorithms with efficient convergence S Fridovich-Keil, B Recht 11th annual workshop on optimization for machine learning, 1-21, 2019 | 6 | 2019 |
| DAB-quant: An open-source digital system for quantifying immunohistochemical staining with 3, 3′-diaminobenzidine (DAB) S Patel, S Fridovich-Keil, SA Rasmussen, JL Fridovich-Keil Plos one 17 (7), e0271593, 2022 | 4 | 2022 |
| Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction S Fridovich-Keil, F Valdivia, G Wetzstein, B Recht, M Soltanolkotabi ArXiv, 2023 | 3 | 2023 |
| Approximately exact line search S Fridovich-Keil, B Recht arXiv preprint arXiv:2011.04721, 2020 | 3 | 2020 |
| Solving Inverse Problems in Protein Space Using Diffusion-Based Priors A Levy, ER Chan, S Fridovich-Keil, F Poitevin, ED Zhong, G Wetzstein arXiv preprint arXiv:2406.04239, 2024 | 2 | 2024 |
| ThermalNeRF: Thermal Radiance Fields YY Lin, XY Pan, S Fridovich-Keil, G Wetzstein 2024 IEEE International Conference on Computational Photography (ICCP), 1-12, 2024 | 1 | 2024 |
| Geometric Algebra Planes: Convex Implicit Neural Volumes I Sivgin, S Fridovich-Keil, G Wetzstein, M Pilanci arXiv preprint arXiv:2411.13525, 2024 | | 2024 |
| Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI A Ghosh, G Wetzstein, M Pilanci, S Fridovich-Keil arXiv preprint arXiv:2311.13177, 2023 | | 2023 |
| Photorealistic Reconstruction from First Principles S Fridovich-Keil University of California, Berkeley, 2023 | | 2023 |
| Models out of line: a fourier lens on distribution shift robustness S Fridovich-Keil, B Bartoldson, J Diffenderfer, B Kailkhura, T Bremer Advances in Neural Information Processing Systems 35, 11175-11188, 2022 | | 2022 |
| Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos S Fridovich-Keil, PJ Ramadge 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | | 2018 |
| Measuring Vital Signs via Video: Heart Rate and Blood Pressure S Fridovich-Keil | | 2018 |
Benjamin RechtProfessor of EECS, University of California, BerkeleyEmail yang diverifikasi di eecs.berkeley.edu