Summary of Improved Generation Of Synthetic Imaging Data Using Feature-aligned Diffusion, by Lakshmi Nair
Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusionby Lakshmi NairFirst submitted to arxiv on:…
Summary of Targeted Synthetic Data Generation For Tabular Data Via Hardness Characterization, by Tommaso Ferracci et al.
Targeted synthetic data generation for tabular data via hardness characterizationby Tommaso Ferracci, Leonie Tabea Goldmann,…
Summary of Towards Fairness and Privacy: a Novel Data Pre-processing Optimization Framework For Non-binary Protected Attributes, by Manh Khoi Duong and Stefan Conrad
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributesby Manh…
Summary of Ar-sieve Bootstrap For the Random Forest and a Simulation-based Comparison with Rangerts Time Series Prediction, by Cabrel Teguemne Fokam and Carsten Jentsch and Michel Lang and Markus Pauly
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series predictionby…
Summary of Balancing Cost and Effectiveness Of Synthetic Data Generation Strategies For Llms, by Yung-chieh Chan et al.
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMsby Yung-Chieh Chan, George Pu,…
Summary of Automatic Debiasing Of Neural Networks Via Moment-constrained Learning, by Christian L. Hines et al.
Automatic debiasing of neural networks via moment-constrained learningby Christian L. Hines, Oliver J. HinesFirst submitted…
Summary of Diasynth: Synthetic Dialogue Generation Framework For Low Resource Dialogue Applications, by Sathya Krishnan Suresh et al.
DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applicationsby Sathya Krishnan Suresh, Wu Mengjun,…
Summary of Convergence Of Diffusion Models Under the Manifold Hypothesis in High-dimensions, by Iskander Azangulov et al.
Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensionsby Iskander Azangulov, George Deligiannidis, Judith…
Summary of Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy Guarantees, by Pablo A. Osorio-marulanda et al.
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guaranteesby…
Summary of Adaptive Learning Of the Latent Space Of Wasserstein Generative Adversarial Networks, by Yixuan Qiu et al.
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networksby Yixuan Qiu, Qingyi Gao,…