Indro Spinelli

46 papers A* 3A 1B 2Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Describe-Then-Act: Proactive Agent Steering via Distilled Language-Action World Models. CoRR Massimiliano Pappa, Luca Romani, Valentino Sacco, Alessio Palma, Stéphane Lathuilière, Fabio Galasso, Xavier Alameda-Pineda, Indro Spinelli
2026	A*	`conf`	Human Motion Unlearning. AAAI Edoardo De Matteis, Matteo Migliarini, Alessio Sampieri, Indro Spinelli, Fabio Galasso
2025	J	`jnl`	Adaptive token selection for scalable point cloud transformers. Neural Networks Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane
2025	A*	`conf`	Following the Human Thread in Social Navigation. ICLR Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso
2025	B	`conf`	GATSY: Graph Attention Network for Music Artist Similarity. IJCNN Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello
2025	J	`jnl`	Human Motion Unlearning. CoRR Edoardo De Matteis, Matteo Migliarini, Alessio Sampieri, Indro Spinelli, Fabio Galasso
2025	J	`jnl`	MonSTeR: a Unified Model for Motion, Scene, Text Retrieval. CoRR Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany, Indro Spinelli, Fabio Galasso
2025	J	`jnl`	PhysTalk: Language-driven Real-time Physics in 3D Gaussian Scenes. CoRR Luca Collorone, Mert Kiray, Indro Spinelli, Fabio Galasso, Benjamin Busam
2025	A	`conf`	Social EgoMesh Estimation. WACV Luca Scofano, Alessio Sampieri, Edoardo De Matteis, Indro Spinelli, Fabio Galasso
2025	J	`jnl`	Video Unlearning via Low-Rank Refusal Vector. CoRR Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, Fabio Galasso
2024	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2024	J	`jnl`	Adaptive Point Transformer. CoRR Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane
2024	J	`jnl`	Following the Human Thread in Social Navigation. CoRR Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso
2024	A*	`conf`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2024	J	`jnl`	Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. Cogn. Comput. Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain
2024	—	`conf`	Length-Aware Motion Synthesis via Latent Diffusion. ECCV (53) Alessio Sampieri, Alessio Palma, Indro Spinelli, Fabio Galasso
2024	J	`jnl`	Length-Aware Motion Synthesis via Latent Diffusion. CoRR Alessio Sampieri, Alessio Palma, Indro Spinelli, Fabio Galasso
2024	J	`jnl`	Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cogn. Comput. Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain
2024	J	`jnl`	MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization. CoRR Massimiliano Pappa, Luca Collorone, Giovanni Ficarra, Indro Spinelli, Fabio Galasso
2024	—	`conf`	OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras. ICPR (16) Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli, Stéphane Lathuilière, Fabio Galasso
2024	J	`jnl`	OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras. CoRR Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli, Stéphane Lathuilière, Fabio Galasso
2024	J	`jnl`	Social EgoMesh Estimation. CoRR Luca Scofano, Alessio Sampieri, Edoardo De Matteis, Indro Spinelli, Fabio Galasso
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2023	—	`conf`	ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo. ICIAP Workshops (1) Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane
2023	B	`conf`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. ESANN Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	J	`jnl`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. CoRR Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	J	`jnl`	Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks. CoRR Indro Spinelli, Riccardo Bianchini, Simone Scardapane
2023	J	`jnl`	Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. Neural Networks Indro Spinelli, Riccardo Bianchini, Simone Scardapane
2023	—	`conf`	Explainability in subgraphs-enhanced Graph Neural Networks. NLDL Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2023	J	`jnl`	GATSY: Graph Attention Network for Music Artist Similarity. CoRR Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2023	J	`jnl`	Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks. IEEE Trans. Ind. Informatics Alessio Devoto, Indro Spinelli, Francesca Murabito, Fabrizio Chiovoloni, Riccardo Musmeci, Simone Scardapane
2022	J	`jnl`	Explainability in subgraphs-enhanced Graph Neural Networks. CoRR Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2022	J	`jnl`	FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Trans. Artif. Intell. Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2021	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2021	J	`jnl`	Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2020	J	`jnl`	Adaptive Propagation Graph Convolutional Network. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Distributed Graph Convolutional Networks. CoRR Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2020	J	`jnl`	Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks Indro Spinelli, Simone Scardapane, Aurelio Uncini
2019	J	`jnl`	Efficient data augmentation using graph imputation neural networks. CoRR Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019	J	`jnl`	Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2017	—	`conf`	Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini