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ORCIDSara Fridovich-Keil
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2020 – today
- 2024
[c11]Yvette Y. Lin, Xin-Yi Pan, Sara Fridovich-Keil, Gordon Wetzstein:
ThermalNeRF: Thermal Radiance Fields. ICCP 2024: 1-12- [i13]Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein:
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. CoRR abs/2406.04239 (2024) - [i12]Yvette Y. Lin, Xin-Yi Pan, Sara Fridovich-Keil, Gordon Wetzstein:
ThermalNeRF: Thermal Radiance Fields. CoRR abs/2407.15337 (2024) - [i11]Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci:
Geometric Algebra Planes: Convex Implicit Neural Volumes. CoRR abs/2411.13525 (2024) - 2023
- [b1]Sara Fridovich-Keil:
Photorealistic Reconstruction from First Principles. University of California, Berkeley, USA, 2023 - [c10]Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR 2023: 12479-12488 - [c9]Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil:
Neural Microfacet Fields for Inverse Rendering. ICCV 2023: 408-418 - [i10]Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR abs/2301.10241 (2023) - [i9]Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil:
Neural Microfacet Fields for Inverse Rendering. CoRR abs/2303.17806 (2023) - [i8]Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
:
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. CoRR abs/2310.03956 (2023) - [i7]Annesha Ghosh, Gordon Wetzstein, Mert Pilanci, Sara Fridovich-Keil:
Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI. CoRR abs/2311.13177 (2023) - 2022
- [c8]Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CVPR 2022: 5491-5500 - [c7]Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. NeurIPS 2022 - [c6]Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs:
Spectral Bias in Practice: The Role of Function Frequency in Generalization. NeurIPS 2022 - [c5]Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs:
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. NeurIPS 2022 - [i6]Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs:
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet. CoRR abs/2205.04596 (2022) - [i5]Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. CoRR abs/2207.04075 (2022) - 2021
- [i4]Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs:
Spectral Bias in Practice: The Role of Function Frequency in Generalization. CoRR abs/2110.02424 (2021) - [i3]Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CoRR abs/2112.05131 (2021) - 2020
- [c4]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht:
Neural Kernels Without Tangents. ICML 2020: 8614-8623 - [c3]Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng:
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. NeurIPS 2020 - [i2]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. CoRR abs/2003.02237 (2020) - [i1]Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng:
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. CoRR abs/2006.10739 (2020)
2010 – 2019
- 2019
- [c2]Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt:
A Meta-Analysis of Overfitting in Machine Learning. NeurIPS 2019: 9175-9185 - 2018
- [c1]Sara Fridovich-Keil, Peter J. Ramadge:
Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos. GlobalSIP 2018: 444-448
Coauthor Index
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