arXiv AI
Jun 12
Valid Inference with Synthetic Data via Task Exchangeability
arXiv:2606. 13629v1 Announce Type: cross Abstract: There is a proliferation of work arguing for the use of synthetic data in scientific research.
Synthetic data: save money, time and carbon with open source
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arXiv AI
Jul 8
Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain
arXiv:2607. 06133v1 Announce Type: cross Abstract: Modern software systems increasingly depend on data for analysis, prediction, testing, and decision-making.
Hugging Face Blog
Dec 16, 2024
Introducing the Synthetic Data Generator - Build Datasets with Natural Language
arXiv Machine Learning
Jun 10
ClusBench: The Clustering Benchmark Data Resource You've All Been Waiting For (?)
arXiv:2606. 10673v1 Announce Type: cross Abstract: Although some very common test beds exist for assessing the performance of clustering methods, large scale benchmarking is typically limited to relatively simplistic simulation set-ups.
arXiv Machine Learning
1d ago
Green BOA: Determining the environmental break-even point for ML-based data compression
arXiv:2608. 19994v1 Announce Type: new Abstract: We summarise the outcome of two summer internship projects based at the University of Manchester, focused on the break-even point in terms of environmental sustainability for ML-based data compression algorithms.
Hugging Face Blog
Jun 20, 2024
Data Is Better Together: A Look Back and Forward
arXiv Machine Learning
Jun 5
General Synthetic-Powered Inference
arXiv:2509. 20345v3 Announce Type: replace-cross Abstract: The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related tasks -- presents both opportunities and challenges for statistical inference.
arXiv Machine Learning
Jun 9
Disjoint Generation of Synthetic Data
arXiv:2507. 19700v2 Announce Type: replace Abstract: We propose a new framework for generating tabular synthetic datasets via disjoint generative models.
arXiv AI
Jun 30
Building AI-Ready Data Systems for Space Life Sciences, Aerospace Medicine, and Deep Space Exploration
arXiv:2606. 28856v1 Announce Type: cross Abstract: While AI holds the potential to revolutionize space life sciences, realizing this promise is contingent upon the systematic restructuring of heterogeneous spaceflight biological data into machine-actionable, AI-ready forms.
arXiv AI
Jul 14
Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
arXiv:2604. 07486v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have emerged as a powerful tool for synthetic data generation.
arXiv AI
Jul 13
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
arXiv:2512. 03238v2 Announce Type: replace-cross Abstract: High quality data is needed to unlock the full potential of AI for end users.
arXiv Machine Learning
Jun 2
It does what it says on the tin: safe synthetic data from coarsened margins
arXiv:2606. 02101v1 Announce Type: cross Abstract: This paper proposes a method of creating synthetic data (SD) that will have two important advantages for the user compared to other methods currently available.