Scholar
Sara Fridovich-Keil
Google Scholar ID: 9xF7M6wAAAAJ
Assistant Professor in ECE, Georgia Tech
computational imaging
machine learning
signal processing
inverse problems
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Citations
6,816
H-index
10
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10
Publications
20
Co-authors
17
list available
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Publications
10 items
PolyMerge: Compressing 3D Gaussian Splats with Polytope Coverings for Provably Safe Resource-Constrained Navigation
2026
Cited
0
KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems
2026
Cited
0
When, why, and how do diffusion posterior samplers fail? A finite-sample lens
2026
Cited
0
3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
2026
Cited
0
Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT
2026
Cited
0
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
2025
Cited
0
Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
2025
Cited
0
A Recovery Guarantee for Sparse Neural Networks
2025
Cited
0
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Resume (English only)
Co-authors
17 total
Benjamin Recht
Professor of EECS, University of California, Berkeley
Matthew Tancik
Luma AI
Pratul Srinivasan
Research Scientist at Google DeepMind
Ravi Ramamoorthi
Professor of Computer Science, University of California, San Diego
Co-author 5
Ben Mildenhall
Cofounder, World Labs
Jon Barron
Senior Staff Research Scientist at Google DeepMind
Utkarsh Singhal
PhD Student at UC Berkeley
