Sara Fridovich-Keil

According to our database, Sara Fridovich-Keil authored at least 27 papers between 2018 and 2026.

Collaborative distances:

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

2026

PolyMerge: Compressing 3D Gaussian Splats With Polytope Coverings for Provably Safe Resource-Constrained Navigation.

Jihoon Hong, Chih-Yuan Chiu, Sara Fridovich-Keil, Glen Chou

IEEE Robotics Autom. Lett., July, 2026

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.

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

IEEE Trans. Inf. Theory, May, 2026

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems.

Alireza Kheirandish, Jihoon Hong, Sara Fridovich-Keil

CoRR, May, 2026

When, why, and how do diffusion posterior samplers fail? A finite-sample lens.

Benjamin A. Burns, Sara Fridovich-Keil

CoRR, May, 2026

3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems.

Namhoon Kim, Narges Moeini, Justin Romberg, Sara Fridovich-Keil

CoRR, March, 2026

Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT.

Namhoon Kim, Ashwin Pananjady, Amir Pourmorteza, Sara Fridovich-Keil

CoRR, February, 2026

Accurate, Provable, and Fast Polychromatic Tomographic Reconstruction: A Variational Inequality Approach.

Mengqi Lou, Kabir Aladin Verchand, Sara Fridovich-Keil, Ashwin Pananjady

SIAM J. Imaging Sci., 2026

2025

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction.

Rohan Sanda, Asad Aali, Andrew Johnston, Eduardo Reis, Jonathan Singh, Gordon Wetzstein, Sara Fridovich-Keil

CoRR, September, 2025

A Recovery Guarantee for Sparse Neural Networks.

Sara Fridovich-Keil, Mert Pilanci

CoRR, September, 2025

Grids Often Outperform Implicit Neural Representations.

Namhoon Kim, Sara Fridovich-Keil

CoRR, June, 2025

Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach.

Mengqi Lou, Kabir Aladin Verchand, Sara Fridovich-Keil, Ashwin Pananjady

CoRR, March, 2025

Geometric Algebra Planes: Convex Implicit Neural Volumes.

Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors.

Namhoon Kim, Sara Fridovich-Keil

Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

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

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