2 papers
cs.CV2026
Improving Controllable Generation: Faster Training and Better Performance via -Supervision
Amadou S. Sangare, Adrien Maglo, Mohamed Chaouch +1
Text-to-Image (T2I) diffusion/flow models have recently achieved remarkable progress in visual fidelity and text alignment. However, they remain limited when users need to precisel…
cs.LG2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare, Nicolas Dunou, Jhony H. Giraldo +1
Self-supervised learning has become a key method for training deep learning models when labeled data is scarce or unavailable. While graph machine learning holds great promise acro…