2025
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
AISTATS 2025poster
Multi-source generative models have gained significant attention due to their ability to capture complex data distributions across diverse domains. However, existing approaches often struggle with limitations such as negative transfer and an over-reliance on large pre-trained models. To address thes…