3 papers
cs.LG2026
Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
Francesca Lanzillotta, Chiara Albisani, Davide Pucci +3
In many learning tasks, certain requirements on the processing of individual data samples should arguably be formalized as strict constraints in the underlying optimization problem…
cs.LG2025
The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation
Giulia Bertazzini, Chiara Albisani, Daniele Baracchi +2
With the growing adoption of AI image generation, in conjunction with the ever-increasing environmental resources demanded by AI, we are urged to answer a fundamental question: Wha…
cs.CV2025
DRAGON: A Large-Scale Dataset of Realistic Images Generated by Diffusion Models
Giulia Bertazzini, Daniele Baracchi, Dasara Shullani +2
The remarkable ease of use of diffusion models for image generation has led to a proliferation of synthetic content online. While these models are often employed for legitimate pur…