Sara Fridovich-Keil

According to our database, Sara Fridovich-Keil authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

ThermalNeRF: Thermal Radiance Fields.

Yvette Y. Lin, Xin-Yi Pan, Sara Fridovich-Keil, Gordon Wetzstein

Proceedings of the IEEE International Conference on Computational Photography, 2024

2023

Photorealistic Reconstruction from First Principles

Sara Fridovich-Keil

PhD thesis, 2023

Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI.

Annesha Ghosh, Gordon Wetzstein, Mert Pilanci, Sara Fridovich-Keil

CoRR, 2023

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.

Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi

CoRR, 2023

Neural Microfacet Fields for Inverse Rendering.

Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance.

Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spectral Bias in Practice: The Role of Function Frequency in Generalization.

Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Models Out of Line: A Fourier Lens on Distribution Shift Robustness.

Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Plenoxels: Radiance Fields without Neural Networks.

Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Kernels Without Tangents.

Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Meta-Analysis of Overfitting in Machine Learning.

Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos.

Sara Fridovich-Keil, Peter J. Ramadge

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018