| 2026 | PERCOM | Keynote: Learning from World Wide Human-AI Social Interactions. | Stefano Melacci |
| 2025 | ECAI | Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases. | Christian Di Maio, Cristian Cosci, Marco Maggini, Valentina Poggioni, Stefano Melacci |
| 2025 | ESANN | Stability of State and Costate Dynamics in Continuous Time Recurrent Neural Networks. | Alessandro Betti, Marco Gori, Stefano Melacci |
| 2025 | ICANN | Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream. | Michele Casoni, Tommaso Guidi, Stefano Melacci, Alessandro Betti, Marco Gori |
| 2025 | IJCAI | A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge. | Luca Salvatore Lorello, Marco Lippi, Stefano Melacci |
| 2025 | IJCNN | Generative System Dynamics in Recurrent Neural Networks. | Michele Casoni, Tommaso Guidi, Alessandro Betti, Stefano Melacci, Marco Gori |
| 2025 | IJCNN | Position Paper: Collectionless Artificial Intelligence. | Marco Gori, Stefano Melacci |
| 2025 | IJCNN | Attacking RAG Systems in Multiple Domains with Locally Running and Automatic Procedures. | Christian Di Maio, Stefano Melacci |
| 2024 | AAAI | Neural Time-Reversed Generalized Riccati Equation. | Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi |
| 2024 | ECAI | Bridging Continual Learning of Motion and Self-Supervised Representations. | Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci |
| 2023 | IJCNN | Continual Learning with Pretrained Backbones by Tuning in the Input Space. | Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars |
| 2023 | NeSy | Logic Explained Networks. | Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li, Marco Maggini, Stefano Melacci |
| 2022 | AAAI | Entropy-Based Logic Explanations of Neural Networks. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Li, Marco Gori, Stefano Melacci |
| 2022 | AAAI | Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. | Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2022 | ICMLA | 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 |
| 2022 | IJCAI | Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. | Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci |
| 2021 | ICMLA | Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. | Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci |
| 2021 | IJCNN | Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. | Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2021 | IJCNN | Generate and Revise: Reinforcement Learning in Neural Poetry. | Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini |
| 2020 | AAAI | A Constraint-Based Approach to Learning and Explanation. | Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | ECAI | A Lagrangian Approach to Information Propagation in Graph Neural Networks. | Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | ICANN | Generating Facial Expressions Associated with Text. | Lisa Graziani, Stefano Melacci, Marco Gori |
| 2020 | ICPR | SAILenv: Learning in Virtual Visual Environments Made Simple. | Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2020 | IJCAI | Human-Driven FOL Explanations of Deep Learning. | Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci |
| 2020 | IJCNN | Developing Constrained Neural Units Over Time. | Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci |
| 2020 | IJCNN | Local Propagation in Constraint-based Neural Networks. | Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori |
| 2020 | IJCNN | Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. | Dario Zanca, Stefano Melacci, Marco Gori |
| 2019 | ICANN | Jointly Learning to Detect Emotions and Predict Facebook Reactions. | Lisa Graziani, Stefano Melacci, Marco Gori |
| 2019 | ICANN | Neural Poetry: Learning to Generate Poems Using Syllables. | Andrea Zugarini, Stefano Melacci, Marco Maggini |
| 2019 | IJCAI | Motion Invariance in Visual Environments. | Alessandro Betti, Marco Gori, Stefano Melacci |
| 2018 | ICANN | An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. | Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini |
| 2018 | ICANN | Video Surveillance of Highway Traffic Events by Deep Learning Architectures. | Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini |
| 2018 | LREC | Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. | Stefano Melacci, Achille Globo, Leonardo Rigutini |
| 2016 | ESANN | Learning with hard constraints as a limit case of learning with soft constraints. | Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti |
| 2015 | ICIAP | En Plein Air Visual Agents. | Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci, Marcello Pelillo |
| 2014 | CVPR | On-Line Video Motion Estimation by Invariant Receptive Inputs. | Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci |
| 2013 | ICANN | Variational Foundations of Online Backpropagation. | Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci |
| 2013 | ICANN | On-Line Laplacian One-Class Support Vector Machines. | Salvatore Frandina, Marco Lippi, Marco Maggini, Stefano Melacci |
| 2013 | ICANN | Learning with Hard Constraints. | Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti |
| 2013 | ICIAP | Information-Based Learning of Deep Architectures for Feature Extraction. | Stefano Melacci, Marco Lippi, Marco Gori, Marco Maggini |
| 2012 | ECCV | Information Theoretic Learning for Pixel-Based Visual Agents. | Marco Gori, Stefano Melacci, Marco Lippi, Marco Maggini |
| 2011 | ICMLA | Kernel Methods for Minimum Entropy Encoding. | Stefano Melacci, Marco Gori |
| 2011 | ICONIP | Support Constraint Machines. | Marco Gori, Stefano Melacci |
| 2011 | ICONIP | Learning with Box Kernels. | Stefano Melacci, Marco Gori |
| 2010 | ICANN | Learning with Convex Constraints. | Marco Gori, Stefano Melacci |
| 2009 | ICANN | Semi-supervised Learning with Constraints for Multi-view Object Recognition. | Stefano Melacci, Marco Maggini, Marco Gori |
| 2009 | IJCNN | Semi-supervised clustering using similarity neural networks. | Stefano Melacci, Marco Maggini, Lorenzo Sarti |
| 2008 | ICANN | Learning Similarity Measures from Pairwise Constraints with Neural Networks. | Marco Maggini, Stefano Melacci, Lorenzo Sarti |
| 2007 | CAIP | Representation of Facial Features by Catmull-Rom Splines. | Marco Maggini, Stefano Melacci, Lorenzo Sarti |