Simone Marullo

According to our database, Simone Marullo authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

CoRR, 2024

Continual Neural Computation.

Matteo Tiezzi, Simone Marullo, Federico Becattini, Stefano Melacci

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Bridging Continual Learning of Motion and Self-Supervised Representations.

Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Neural Time-Reversed Generalized Riccati Equation.

Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continual Learning with Pretrained Backbones by Tuning in the Input Space.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Foveated Neural Computation.

Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams.

Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks.

Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci

Proceedings of the Conference on Lifelong Learning Agents, 2022

Continual Learning through Hamilton Equations.

Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci

Proceedings of the Conference on Lifelong Learning Agents, 2022

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.

Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Developing Constrained Neural Units Over Time.

Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020