Sara Fridovich-Keil
Assistant Professor
Studies foundations and applications of machine learning and signal processing in computational imaging.
Sara Fridovich-Keil's lab at Georgia Tech works on computational imaging & photography, signal processing & information theory and speech enhancement & signal processing. 12 papers since 2023, 6 at top venues, mostly CVPR and ICCV. 5 PhD students and 1 master's student. 2 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 50%
- PhD students
- 5
- MS students
- 1
- alumni listed
- 2
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 2 · collecting
- 4 papers2025 · T1 2
- 1 papers2024 · T1 0
- 2 papers2023 · T1 2
T1 venuesOtherVenues: CVPR, ICCV, ICLR, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Computational imaging & photography0 papers
- Signal processing & information theory0 papers
- Speech enhancement & signal processing0 papers
- studies foundations0 papers
- computational imaging0 papers
Paper list
From the lab homepage.
20265 papers
- Computer Vision -- ECCV3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems (opens in a new tab)
- ICLR (T1)A Recovery Guarantee for Sparse Neural Networks (opens in a new tab)
- SIAM Journal on Imaging SciencesAccurate, Provable, and Fast Polychromatic Tomographic Reconstruction: A Variational Inequality Approach (opens in a new tab)
- IEEE Transactions on Information TheoryGradient Descent Provably Solves Nonlinear Tomographic Reconstruction (opens in a new tab)
- CVPR (T1)KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems (opens in a new tab)
20254 papers
- ICML (T1)Geometric Algebra Planes: Convex Implicit Neural Volumes (opens in a new tab)
- NeurIPS (T1)Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals (opens in a new tab)
- Machine Learning for HealthPaDIS-MRI: Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction (opens in a new tab)
- CAMSAPTowards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors (opens in a new tab)
20241 paper
Where alumni went2 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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