Developing Constrained Neural Units Over Time. - Alessandro Betti; Marco Gori; Simone Marullo; Stefano Melacci (IJCNN, 2020)

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (IJCNN, 2021)

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

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (AAAI, 2022)

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)

Continual Learning with Pretrained Backbones by Tuning in the Input Space. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci; Tinne Tuytelaars (IJCNN, 2023)

Neural Time-Reversed Generalized Riccati Equation. - Alessandro Betti; Michele Casoni; Marco Gori; Simone Marullo; Stefano Melacci; Matteo Tiezzi (AAAI, 2024)

Memory Head for Pre-Trained Backbones in Continual Learning. - Matteo Tiezzi; Federico Becattini; Simone Marullo; Stefano Melacci (CoLLAs, 2024)

Bridging Continual Learning of Motion and Self-Supervised Representations. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Michele Casoni; Stefano Melacci (ECAI, 2024)

Continual Neural Computation. - Matteo Tiezzi; Simone Marullo; Federico Becattini; Stefano Melacci (ECML/PKDD (2), 2024)

Continual learning of conjugated visual representations through higher-order motion flows. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (Neural Networks, 2025)