2 papers
cs.LG2026
A Systematic Framework for Tabular Data Disentanglement
Ivan Tjuawinata, Andre Gunawan, Anh Quan Tran +6
Tabular data, widely used in various applications such as industrial control systems, finance, and supply chain, often contains complex interrelationships among its attributes. Dat…
cs.CV2023
A High-Quality Robust Diffusion Framework for Corrupted Dataset
Quan Dao, Binh Ta, Tung Pham +1
Developing image-generative models, which are robust to outliers in the training process, has recently drawn attention from the research community. Due to the ease of integrating u…