2 papers
cs.LG2026
An Efficient Machine Learning Approach for Degradation Forecasting in AEM Water Electrolysis
Marco Veneriano, Ani Gjergji, Sebastiano Bellani +3
This study provides a data-driven analysis of a novel dataset of single-cell Anion Exchange Membrane water electrolyzers (AEMWE), operated under constant current load across multip…
cs.LG2025
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
Nathan Roos, Ekaterina Iakovleva, Ani Gjergji +2
Diffusion-based generative models demonstrate state-of-the-art performance across various image synthesis tasks, yet their tendency to replicate and amplify dataset biases remains…