Fridovich-Keil, Sara

12 publications

ICML 2025 Geometric Algebra Planes: Convex Implicit Neural Volumes Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci

NeurIPS 2025 Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals Namhoon Kim, Sara Fridovich-Keil

CVPR 2023 K-Planes: Explicit Radiance Fields in Space, Time, and Appearance Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa

ICCV 2023 Neural Microfacet Fields for Inverse Rendering Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil

NeurIPS 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness Sara Fridovich-Keil, Brian Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer

CVPR 2022 Plenoxels: Radiance Fields Without Neural Networks Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa

NeurIPS 2022 Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs

NeurIPS 2022 When Does Dough Become a Bagel? Analyzing the Remaining Mistakes on ImageNet Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs

ICMLW 2022 When Does Dough Become a bagel?Analyzing the Remaining Mistakes on ImageNet Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes, Sara Fridovich-Keil, Rebecca Roelofs

NeurIPS 2020 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, Ren Ng

ICML 2020 Neural Kernels Without Tangents Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

NeurIPS 2019 A Meta-Analysis of Overfitting in Machine Learning Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt