Sara Fridovich-Keil
Sara Fridovich-Keil
Postdoc, Stanford University EE
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Approximately exact line search
S Fridovich-Keil, B Recht
arXiv preprint arXiv:2011.04721, 2020
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
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
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
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
S Fridovich-Keil, F Valdivia, G Wetzstein, B Recht, M Soltanolkotabi
ArXiv, 2023
Photorealistic Reconstruction from First Principles
S Fridovich-Keil
University of California, Berkeley, 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
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
Measuring Vital Signs via Video: Heart Rate and Blood Pressure
S Fridovich-Keil
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