3 papers
cs.LG2026
HyperTransport: Amortized Conditioning of T2I Generative Models
Valentino Maiorca, Eleonora Gualdoni, Xavier Suau +3
As foundation models grow in capability, the ability to efficiently and reliably control their behavior becomes critical. Fine-tuning these models can be costly, and while promptin…
cs.LG2025
Dynamically Scaled Activation Steering
Alex Ferrando, Xavier Suau, Jordi Gonzà lez +1
Activation steering has emerged as a powerful method for guiding the behavior of generative models towards desired outcomes such as toxicity mitigation. However, most existing meth…
cs.LG2024
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip, Pau Rodriguez, Tinne Tuytelaars +1
Diffusion models are powerful generative models that achieve state-of-the-art performance in image synthesis. However, training them demands substantial amounts of data and computa…