SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–822 of 822 papers

TitleStatusHype
Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators—0
Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languages—0
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders—0
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks—0
PMU Data Feature Considerations for Realistic, Synthetic Data Generation—0
Post-processing Private Synthetic Data for Improving Utility on Selected Measures—0
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition—0
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers—0
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations—0
Privacy-Preserving Domain Adaptation of Semantic Parsers—0
Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
Private Synthetic Data with Hierarchical Structure—0
An Algorithm for Streaming Differentially Private Data—0
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications—0
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction—0
Project Jenkins: Turning Monkey Neural Data into Robotic Arm Movement, and Back—0
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation—0
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records—0
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified