Sotabase

Career

· Assistant Professor in Electrical and Computer Engineering, Georgia Tech2025–
· Postdoctoral Research Fellow in Electrical Engineering, Stanford University2023–
· PhD Student in Electrical Engineering and Computer Sciences, UC Berkeley2018–

Publications (24)

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Neural Information Processing Systems · 2020
3,107
cited
Plenoxels: Radiance Fields without Neural Networks
Computer Vision and Pattern Recognition · 2021
2,036
cited
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Computer Vision and Pattern Recognition · 2023
801
cited
A Meta-Analysis of Overfitting in Machine Learning
Neural Information Processing Systems · 2019
180
cited
Neural Kernels Without Tangents
International Conference on Machine Learning · 2020
93
cited
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Neural Information Processing Systems · 2022
69
cited
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Neural Information Processing Systems · 2021
44
cited
Neural Microfacet Fields for Inverse Rendering
IEEE International Conference on Computer Vision · 2023
35
cited
ThermalNeRF: Thermal Radiance Fields
International Conference on Computational Photography · 2024
16
cited
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
arXiv.org · 2024
15
cited
Choosing the Step Size: Intuitive Line Search Algorithms with Efficient Convergence
2019
5
cited
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
arXiv.org · 2023
5
cited
Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach
arXiv.org · 2025
3
cited
Approximately Exact Line Search.
2020
3
cited
Geometric Algebra Planes: Convex Implicit Neural Volumes
International Conference on Machine Learning · 2024
2
cited
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Neural Information Processing Systems · 2022
2
cited
A Recovery Guarantee for Sparse Neural Networks
arXiv.org · 2025
1
cited
Grids Often Outperform Implicit Neural Representations
arXiv.org · 2025
1
cited
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
arXiv.org · 2025
1
cited
Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI
ISMRM Annual Meeting · 2023
1
cited
Sotabase
Sara Fridovich-Keil | Researcher Profile | Sotabase | Sotabase