Roberto Capobianco

74 papers A* 5A 10C 7Journal 30Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CIP-Net: Continual Interpretable Prototype-based Network. AAAI Federico Di Valerio, Michela Proietti, Alessio Ragno, Roberto Capobianco
2026	J	`jnl`	DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications. CoRR Elena Umili, Francesco Argenziano, Roberto Capobianco
2026	J	`jnl`	Grounding LTL Tasks in Sub-Symbolic RL Environments for Zero-Shot Generalization. CoRR Matteo Pannacci, Andrea Fanti, Elena Umili, Roberto Capobianco
2026	—	`conf`	LogiX-Me: Logic-based Self-Explainable Message Passing GNN. EDBT/ICDT Workshops Simone Palumbo, Alessio Ragno, Roberto Capobianco, Marc Plantevit, Céline Robardet
2025	J	`jnl`	CIP-Net: Continual Interpretable Prototype-based Network. CoRR Federico Di Valerio, Michela Proietti, Alessio Ragno, Roberto Capobianco
2025	J	`jnl`	Fine-grained Analysis of Brain-LLM Alignment through Input Attribution. CoRR Michela Proietti, Roberto Capobianco, Mariya Toneva
2025	A	`conf`	IMPO: Interpretable Memory-based Prototypical Pooling. WSDM Alessio Ragno, Roberto Capobianco
2024	A	`conf`	DeepDFA: Automata Learning through Neural Probabilistic Relaxations. ECAI Elena Umili, Roberto Capobianco
2024	J	`jnl`	DeepDFA: Automata Learning through Neural Probabilistic Relaxations. CoRR Elena Umili, Roberto Capobianco
2024	J	`jnl`	Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. Mach. Learn. Michela Proietti, Alessio Ragno, Biagio La Rosa, Rino Ragno, Roberto Capobianco
2024	—	`conf`	Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46's Ligands. EXPLIMED@ECAI Alessia Borghini, Federico Di Valerio, Alessio Ragno, Roberto Capobianco
2024	A	`conf`	Neural Reward Machines. ECAI Elena Umili, Francesco Argenziano, Roberto Capobianco
2024	J	`jnl`	Neural Reward Machines. CoRR Elena Umili, Francesco Argenziano, Roberto Capobianco
2024	J	`jnl`	Prototype-Based Interpretable Graph Neural Networks. IEEE Trans. Artif. Intell. Alessio Ragno, Biagio La Rosa, Roberto Capobianco
2024	C	`conf`	Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing. ACC Catherine Weaver, Roberto Capobianco, Peter R. Wurman, Peter Stone, Masayoshi Tomizuka
2024	—	`conf`	Transfer Learning between non-Markovian RL Tasks through Semantic Representations of Temporal States. AAPEI@ECAI Andrea Fanti, Elena Umili, Roberto Capobianco
2024	A	`conf`	Transparent Explainable Logic Layers. ECAI Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco
2023	J	`jnl`	A self-interpretable module for deep image classification on small data. Appl. Intell. Biagio La Rosa, Roberto Capobianco, Daniele Nardi
2023	J	`jnl`	An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains. J. Artif. Intell. Res. Jim Martin Catacora Ocana, Roberto Capobianco, Daniele Nardi
2023	J	`jnl`	Editorial: Ethical design of artificial intelligence-based systems for decision making. Frontiers Artif. Intell. Giulio Biondi, Stefano Cagnoni, Roberto Capobianco, Valentina Franzoni, Francesca A. Lisi, Alfredo Milani, Jordi Vallverdú
2023	A*	`conf`	Grounding LTLf Specifications in Image Sequences. KR Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
2023	—	`conf`	Memory Replay For Continual Learning With Spiking Neural Networks. MLSP Michela Proietti, Alessio Ragno, Roberto Capobianco
2023	J	`jnl`	State of the Art of Visual Analytics for eXplainable Deep Learning. Comput. Graph. Forum Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini
2023	A*	`conf`	Towards a fuller understanding of neurons with Clustered Compositional Explanations. NeurIPS Biagio La Rosa, Leilani Gilpin, Roberto Capobianco
2023	J	`jnl`	Towards a fuller understanding of neurons with Clustered Compositional Explanations. CoRR Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
2023	—	`conf`	Understanding Deep RL Agent Decisions: a Novel Interpretable Approach with Trainable Prototypes. XAI.it@AI*IA Caterina Borzillo, Alessio Ragno, Roberto Capobianco
2023	C	`conf`	Visual Reward Machines. NeSy Elena Umili, Francesco Argenziano, Aymeric Barbin, Roberto Capobianco
2022	C	`conf`	Grounding LTLf Specifications in Images. NeSy Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
2022	J	`jnl`	Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal. J. Comput. Aided Mol. Des. Eleonora Proia, Alessio Ragno, Lorenzo Antonini, Manuela Sabatino, Milan Mladenovic, Roberto Capobianco, Rino Ragno
2022	J	`jnl`	Molecule Generation from Input-Attributions over Graph Convolutional Networks. CoRR Dylan Savoia, Alessio Ragno, Roberto Capobianco
2022	J	`jnl`	Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
2022	J	`jnl`	Semi-Supervised GCN for learning Molecular Structure-Activity Relationships. CoRR Alessio Ragno, Dylan Savoia, Roberto Capobianco
2021	—	`conf`	A Discussion about Explainable Inference on Sequential Data via Memory-Tracking. DP@AI*IA Biagio La Rosa, Roberto Capobianco, Daniele Nardi
2021	J	`jnl`	Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. J. Artif. Intell. Res. Roberto Capobianco, Varun Raj Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2021	—	`conf`	Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning. CVPR Workshops Giulia Ciabatti, Shreyansh Daftry, Roberto Capobianco
2021	—	`conf`	Detection Accuracy for Evaluating Compositional Explanations of Units. AI*IA Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco
2021	J	`jnl`	Detection Accuracy for Evaluating Compositional Explanations of Units. CoRR Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco
2021	—	`conf`	Exploration-Intensive Distractors: Two Environment Proposals and a Benchmarking. AI*IA Jim Martin Catacora Ocana, Roberto Capobianco, Daniele Nardi
2021	J	`jnl`	LoOP: Iterative learning for optimistic planning on robots. Robotics Auton. Syst. Francesco Riccio, Roberto Capobianco, Daniele Nardi
2021	J	`jnl`	Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. CoRR Biagio La Rosa, Roberto Capobianco, Daniele Nardi
2021	A	`conf`	Multiagent Epidemiologic Inference through Realtime Contact Tracing. AAMAS Guni Sharon, James Ault, Peter Stone, Varun Raj Kompella, Roberto Capobianco
2021	—	`conf`	Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games. AI*IA Roberto Gallotta, Roberto Capobianco
2020	A*	`conf`	Explainable Inference on Sequential Data via Memory-Tracking. IJCAI Biagio La Rosa, Roberto Capobianco, Daniele Nardi
2020	A	`conf`	GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. AAMAS Francesco Riccio, Roberto Capobianco, Daniele Nardi
2020	—	`conf`	Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. AI4SG@AAAI Fall Symposium Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2020	J	`jnl`	Reinforcement Learning for Optimization of COVID-19 Mitigation policies. CoRR Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2019	A	`conf`	Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. AAMAS Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi
2019	C	`conf`	Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. RoboCup Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi
2019	—	`conf`	S-AVE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. AIRO@AI*IA José V. Jaramillo, Roberto Capobianco, Francesco Riccio, Daniele Nardi
2018	A	`conf`	DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. AAMAS Francesco Riccio, Roberto Capobianco, Daniele Nardi
2018	J	`jnl`	DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. CoRR Francesco Riccio, Roberto Capobianco, Daniele Nardi
2018	A	`conf`	Efficient Long-term Mapping in Dynamic Environments. IROS Maria Teresa Lazaro, Roberto Capobianco, Giorgio Grisetti
2018	C	`conf`	HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation. IAS Roberto Capobianco, Francesco Riccio, Daniele Nardi
2018	A*	`conf`	Q-CP: Learning Action Values for Cooperative Planning. ICRA Francesco Riccio, Roberto Capobianco, Daniele Nardi
2018	J	`jnl`	Q-CP: Learning Action Values for Cooperative Planning. CoRR Francesco Riccio, Roberto Capobianco, Daniele Nardi
2017	—	`—`	Interactive generation and learning of semantic-driven robot behaviors. Roberto Capobianco
2016	J	`jnl`	A Proposal for Semantic Map Representation and Evaluation. CoRR Roberto Capobianco, Jacopo Serafin, Johann Dichtl, Giorgio Grisetti, Luca Iocchi, Daniele Nardi
2016	—	`conf`	Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. AAAI Workshop: Symbiotic Cognitive Systems Roberto Capobianco, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi, Francesco Riccio, Andrea Vanzo
2016	—	`conf`	Improved Learning of Dynamics Models for Control. ISER Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell
2016	J	`jnl`	Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps. CoRR Francesco Riccio, Roberto Capobianco, Daniele Nardi
2016	—	`conf`	Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps. Humanoids Francesco Riccio, Roberto Capobianco, Daniele Nardi
2016	A	`conf`	Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots
2016	J	`jnl`	Living with robots: Interactive environmental knowledge acquisition. Robotics Auton. Syst. Guglielmo Gemignani, Roberto Capobianco, Emanuele Bastianelli, Domenico Daniele Bloisi, Luca Iocchi, Daniele Nardi
2016	—	`conf`	STAM: A Framework for Spatio-Temporal Affordance Maps. MESAS Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi
2016	J	`jnl`	STAM: A Framework for Spatio-Temporal Affordance Maps. CoRR Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi
2016	J	`jnl`	Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies. CoRR Francesco Riccio, Roberto Capobianco, Daniele Nardi
2016	C	`conf`	Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer Policies. RoboCup Francesco Riccio, Roberto Capobianco, Daniele Nardi
2015	—	`conf`	A proposal for semantic map representation and evaluation. ECMR Roberto Capobianco, Jacopo Serafin, Johann Dichtl, Giorgio Grisetti, Luca Iocchi, Daniele Nardi
2015	—	`conf`	Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics. AI*IA Guglielmo Gemignani, Roberto Capobianco, Daniele Nardi
2014	C	`conf`	Automatic Extraction of Structural Representations of Environments. IAS Roberto Capobianco, Guglielmo Gemignani, Domenico Daniele Bloisi, Daniele Nardi, Luca Iocchi
2014	—	`conf`	Interactive Semantic Mapping: Experimental Evaluation. ISER Guglielmo Gemignani, Daniele Nardi, Domenico Daniele Bloisi, Roberto Capobianco, Luca Iocchi
2014	—	`conf`	Robust and Incremental Robot Learning by Imitation. DWAI@AI*IA Roberto Capobianco
2013	J	`jnl`	Knowledge Representation for Robots through Human-Robot Interaction. CoRR Emanuele Bastianelli, Domenico Bloisi, Roberto Capobianco, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi
2013	—	`conf`	On-line semantic mapping. ICAR Emanuele Bastianelli, Domenico Daniele Bloisi, Roberto Capobianco, F. Cossu, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi