Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos. - Sara Fridovich-Keil; Peter J. Ramadge (GlobalSIP, 2018)

A Meta-Analysis of Overfitting in Machine Learning. - Rebecca Roelofs; Vaishaal Shankar; Benjamin Recht; Sara Fridovich-Keil; Moritz Hardt; John Miller 001; Ludwig Schmidt (NeurIPS, 2019)

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

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

Plenoxels: Radiance Fields without Neural Networks. - Sara Fridovich-Keil; Alex Yu; Matthew Tancik; Qinhong Chen; Benjamin Recht; Angjoo Kanazawa (CVPR, 2022)

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

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

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

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. - Sara Fridovich-Keil; Fabrizio Valdivia; Gordon Wetzstein; Benjamin Recht; Mahdi Soltanolkotabi (CoRR, 2023)

Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI. - Annesha Ghosh; Gordon Wetzstein; Mert Pilanci; Sara Fridovich-Keil (CoRR, 2023)

Photorealistic Reconstruction from First Principles - Sara Fridovich-Keil (2023)

ThermalNeRF: Thermal Radiance Fields. - Yvette Y. Lin; Xin-Yi Pan; Sara Fridovich-Keil; Gordon Wetzstein (ICCP, 2024)

Solving Inverse Problems in Protein Space Using Diffusion-Based Priors. - Axel Levy; Eric R. Chan; Sara Fridovich-Keil; Frédéric Poitevin; Ellen D. Zhong; Gordon Wetzstein (CoRR, 2024)

Geometric Algebra Planes: Convex Implicit Neural Volumes. - Irmak Sivgin; Sara Fridovich-Keil; Gordon Wetzstein; Mert Pilanci (CoRR, 2024)

Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach. - Mengqi Lou; Kabir Aladin Verchand; Sara Fridovich-Keil; Ashwin Pananjady (CoRR, 2025)

Grids Often Outperform Implicit Neural Representations. - Namhoon Kim; Sara Fridovich-Keil (CoRR, 2025)