Sara Fridovich-Keil
11 papers · 2019–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33)
🧬
Topic Evolution
💎
Century Club · Bronze
❓
The Questioner
🗃️
Keyword Collector
(71)
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Computer Vision
(6)
Analysis
(5)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Architectures
(2)
Core AI
(2)
Domain-Specific
(2)
Generation
(2)
Models
(2)
Keywords
image classification
(3)
view synthesis
(2)
radiance field
(2)
data augmentation
(2)
out-of-distribution detection
(2)
neural tangent kernel
(2)
spectral bia
(2)
model robustness
(1)
fourier analysis
(1)
convex optimization
(1)
scene reconstruction
(1)
neural rendering
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
multi-label classification
(1)
transfer learning
(1)
gradient optimization
(1)
kullback-leibler divergence
(1)
distribution shift
(1)
feature space
(1)
Papers
KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems
CVPR 2026
Geometric Algebra Planes: Convex Implicit Neural Volumes
ICML 2025
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
CVPR 2023
Neural Microfacet Fields for Inverse Rendering
ICCV 2023
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
NeurIPS 2022
Plenoxels: Radiance Fields Without Neural Networks
CVPR 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization
NeurIPS 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
NeurIPS 2022
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
NeurIPS 2020
Neural Kernels Without Tangents
ICML 2020
A Meta-Analysis of Overfitting in Machine Learning
NeurIPS 2019