Sara Fridovich-Keil

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Inverse Problems

Low Dimensional

High Frequencies

Top Venues

Publications

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 (2024)
Yvette Y. Lin, Xin-Yi Pan, Sara Fridovich-Keil, Gordon Wetzstein
ThermalNeRF: Thermal Radiance Fields. CoRR (2024)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR (2023)
Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. CoRR (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR (2023)
Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil
Neural Microfacet Fields for Inverse Rendering. CoRR (2023)
Annesha Ghosh, Gordon Wetzstein, Mert Pilanci, Sara Fridovich-Keil
Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI. CoRR (2023)
Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil
Neural Microfacet Fields for Inverse Rendering. ICCV (2023)
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 (2022)
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)
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 (2022)
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)
Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
Spectral Bias in Practice: The Role of Function Frequency in Generalization. NeurIPS (2022)
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa
Plenoxels: Radiance Fields without Neural Networks. CVPR (2022)
Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
Spectral Bias in Practice: The Role of Function Frequency in Generalization. CoRR (2021)
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa
Plenoxels: Radiance Fields without Neural Networks. CoRR (2021)
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)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
Neural Kernels Without Tangents. CoRR (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht
Neural Kernels Without Tangents. ICML (2020)
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 (2020)
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)
Sara Fridovich-Keil, Peter J. Ramadge
Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos. GlobalSIP (2018)