Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach. - Alessia Bertugli; Paolo Galeone (CoRR, 2019)

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. - Alessio Monti; Alessia Bertugli; Simone Calderara; Rita Cucchiara (ICPR, 2020)

Few-Shot Unsupervised Continual Learning through Meta-Examples. - Alessia Bertugli; Stefano Vincenzi; Simone Calderara; Andrea Passerini (CoRR, 2020)

AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. - Alessia Bertugli; Simone Calderara; Pasquale Coscia; Lamberto Ballan; Rita Cucchiara (Comput. Vis. Image Underst., 2021)

Generalising via Meta-examples for Continual Learning in the Wild. - Alessia Bertugli; Stefano Vincenzi; Simone Calderara; Andrea Passerini (LOD (1), 2022)

Does Catastrophic Forgetting Negatively Affect Financial Predictions? - Alberto Zurli; Alessia Bertugli; Jacopo Credi (LOD (1), 2022)