Inference in relational neural machines. - Giuseppe Marra; Francesco Giannini; Lapo Faggi; Michelangelo Diligenti; Marco Gori; Marco Maggini (NeHuAI@ECAI, 2020)

Wave Propagation of Visual Stimuli in Focus of Attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (CoRR, 2020)

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. - Enrico Meloni; Alessandro Betti; Lapo Faggi; Simone Marullo; Matteo Tiezzi; Stefano Melacci (CSSL, 2021)

Visual Features and Their Own Optical Flow. - Alessandro Betti; Giuseppe Boccignone; Lapo Faggi; Marco Gori; Stefano Melacci (Frontiers Artif. Intell., 2021)

Continual Learning through Hamilton Equations. - Alessandro Betti; Lapo Faggi; Marco Gori; Matteo Tiezzi; Simone Marullo; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. - Simone Marullo; Matteo Tiezzi; Alessandro Betti; Lapo Faggi; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. - Enrico Meloni; Lapo Faggi; Simone Marullo; Alessandro Betti; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICMLA, 2022)

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. - Matteo Tiezzi; Simone Marullo; Lapo Faggi; Enrico Meloni; Alessandro Betti; Stefano Melacci (IJCAI, 2022)

Foveated Neural Computation. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Enrico Meloni; Lapo Faggi; Marco Gori; Stefano Melacci (ECML/PKDD (3), 2022)

Local propagation of visual stimuli in focus of attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (Neurocomputing, 2023)