Scholar
Natalia Ponomareva
Google Scholar ID: eIdQR5oAAAAJ
Google, Oxford University
Synthetic Data
Large Language Models
Differential Privacy
Transfer learning
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Citations & Impact
All-time
Citations
1,773
H-index
16
i10-index
20
Publications
20
Co-authors
0
Publications
8 items
ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
2026
Cited
0
Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling
2026
Cited
0
Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
2026
Cited
0
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
2025
Cited
0
Clustering and Median Aggregation Improve Differentially Private Inference
2025
Cited
0
An Optimization Framework for Differentially Private Sparse Fine-Tuning
2025
Cited
0
HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs
2025
Cited
0
Scaling Laws for Downstream Task Performance in Machine Translation
2024
Cited
0
