GitHub

TabPFGen: Synthetic Tabular Data Generation with TabPFN

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...
IEEE

Synthetic Data Generation using Diffusion Models for ML-based Lightpath Quality of Transmission Estimation Under Extreme Data Scarcity

Abstract: Generative diffusion models are gaining attention as a promising solution for synthetic data generation, offering a distinct advantage over traditional statistical methods and basic ...
gadgets360

Adobe Acrobat’s AI Chatbot Will Now Let You Edit PDF With Text Prompts

Additionally, the content creation platform's capabilities also allow Acrobat to generate presentations and audio podcasts using information from documents. The collaboration mode in PDF Space has ...
IEEE

Conditional Synthetic Signal Generation for Microwave Head Imaging Using Diffusion Models

Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.
GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...