Davide Bacciu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 234

Top Venues

Publications

Michele Resta, Davide Bacciu
Self-generated Replay Memories for Continual Neural Machine Translation. CoRR (2024)
Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero
MultiSTOP: Solving Functional Equations with Reinforcement Learning. CoRR (2024)
Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR (2024)
Michele Resta, Davide Bacciu
Self-generated Replay Memories for Continual Neural Machine Translation. NAACL-HLT (2024)
Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
Calibration of Continual Learning Models. CoRR (2024)
Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR (2024)
Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179 (2024)
Riccardo Massidda, Sara Magliacane, Davide Bacciu
Learning Causal Abstractions of Linear Structural Causal Models. CoRR (2024)
Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
Extending OpenStack Monasca for Predictive Elasticity Control. Big Data Min. Anal. 7 (2) (2024)
Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu
I Know How: Combining Prior Policies to Solve New Tasks. CoRR (2024)
Marco Lepri, Davide Bacciu, Cosimo Della Santina
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems. IEEE Control. Syst. Lett. 8 (2024)
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
Long Range Propagation on Continuous-Time Dynamic Graphs. CoRR (2024)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Drifting explanations in continual learning. Neurocomputing 597 (2024)
Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio
Random Oscillators Network for Time Series Processing. AISTATS (2024)
Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. AIME (2) (2024)
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR (2024)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598 (2024)
Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
Constraint-Free Structure Learning with Smooth Acyclic Orientations. ICLR (2024)
Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. CoRR (2024)
Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR (2024)
Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu
Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CoRR (2024)
Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Lorenzo Simone, Davide Bacciu
ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. AIME (2023)
Dario Balboni, Davide Bacciu
ADLER - An efficient Hessian-based strategy for adaptive learning rate. CoRR (2023)
Alessio Gravina, Davide Bacciu
Deep learning for dynamic graphs: models and benchmarks. CoRR (2023)
Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio
Communication-Efficient Ridge Regression in Federated Echo State Networks. ESANN (2023)
Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio
Neural Algorithmic Reasoning for Combinatorial Optimisation. LoG (2023)
Emanuele Cosenza, Andrea Valenti, Davide Bacciu
Graph-based Polyphonic Multitrack Music Generation. CoRR (2023)
Davide Bacciu, Danilo Numeroso
Explaining Deep Graph Networks via Input Perturbation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoLLAs (2023)
Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli
Hidden Markov Models for Temporal Graph Representation Learning. ESANN (2023)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Dual Algorithmic Reasoning. CoRR (2023)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Dual Algorithmic Reasoning. ICLR (2023)
Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops (2023)
Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi
TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. FRAME@HPDC (2023)
Asma Sattar, Davide Bacciu
Graph Neural Network for Context-Aware Recommendation. Neural Process. Lett. 55 (5) (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoRR (2023)
Yohannis Telila, Tommaso Cucinotta, Davide Bacciu
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q Transform. Ital-IA (2023)
Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
A 2-Phase Strategy for Intelligent Cloud Operations. IEEE Access 11 (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. CoRR (2023)
Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu
Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops (2023)
Francesco Landolfi, Davide Bacciu, Danilo Numeroso
A Tropical View of Graph Neural Networks. ESANN (2023)
Matteo Ninniri, Marco Podda, Davide Bacciu
Classifier-free graph diffusion for molecular property targeting. CoRR (2023)
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
Causal Abstraction with Soft Interventions. CLeaR (2023)
Davide Bacciu, Alessio Conte, Francesco Landolfi
Generalizing Downsampling from Regular Data to Graphs. AAAI (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoLLAs (2023)
Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops (2023)
Emanuele Cosenza, Andrea Valenti, Davide Bacciu
Graph-based Polyphonic Multitrack Music Generation. IJCAI (2023)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Continual adaptation of federated reservoirs in pervasive environments. Neurocomputing 556 (2023)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoRR (2023)
Federico Errica, Davide Bacciu, Alessio Micheli
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs. J. Open Source Softw. 8 (90) (2023)
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu
Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) (2023)
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. ICLR (2023)
Lorenzo Simone, Davide Bacciu
ECGAN: Self-supervised generative adversarial network for electrocardiography. CoRR (2023)
Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
Graph Representation Learning. ESANN (2023)
Daniele Atzeni, Federico Errica, Davide Bacciu, Alessio Micheli
Modeling Edge Features with Deep Bayesian Graph Networks. CoRR (2023)
Marco Lepri, Davide Bacciu, Cosimo Della Santina
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems. CoRR (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. ESANN (2023)
Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò
Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR (2023)
Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
Constraint-Free Structure Learning with Smooth Acyclic Orientations. CoRR (2023)
Davide Bacciu, Davide Morelli, Vlad Pandelea
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Emanuele Cosenza, Andrea Valenti, Davide Bacciu
Graph-based Polyphonic Multitrack Music Generation. CREAI@AI*IA (2023)
Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CI4PM/PAI@WCCI (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. CoRR (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI (2022)
Andrea Valenti, Davide Bacciu, Antonio Vergari
ChemAlgebra: Algebraic Reasoning on Chemical Reactions. CoRR (2022)
Andrea Valenti, Davide Bacciu
Modular Representations for Weak Disentanglement. CoRR (2022)
Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon
Deep Learning for Graphs. ESANN (2022)
Andrea Valenti, Davide Bacciu
Leveraging Relational Information for Learning Weakly Disentangled Representations. CoRR (2022)
Davide Bacciu, Alessio Conte, Francesco Landolfi
Graph Pooling with Maximum-Weight k-Independent Sets. CoRR (2022)
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR (2022)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5 (2022)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Federated Adaptation of Reservoirs via Intrinsic Plasticity. CoRR (2022)
Daniele Castellana, Davide Bacciu
A tensor framework for learning in structured domains. Neurocomputing 470 (2022)
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. 5 (2022)
Lorenzo Collodi, Davide Bacciu, Matteo Bianchi, Giuseppe Averta
Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data. IEEE Robotics Autom. Lett. 7 (2) (2022)
Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CoRR (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops (2022)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Learning heuristics for A. CoRR (2022)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Federated Adaptation of Reservoirs via Intrinsic Plasticity. ESANN (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. CoRR (2022)
Davide Bacciu, Davide Serramazza
Learning Image Captioning as a Structured Transduction Task. EANN (2022)
Andrea Valenti, Davide Bacciu
Modular Representations for Weak Disentanglement. ESANN (2022)
Daniele Atzeni, Davide Bacciu, Daniele Mazzei, Giuseppe Prencipe
A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques. Sensors 22 (13) (2022)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops (2022)
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. CoRR (2022)
Riccardo Massidda, Davide Bacciu
Knowledge-Driven Interpretation of Convolutional Neural Networks. ECML/PKDD (1) (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. IJCNN (2022)
Davide Bacciu, Gioele Bertoncini, Davide Morelli
Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data. Neural Comput. Appl. 34 (1) (2022)
Rudy Semola, Lorenzo Moro, Davide Bacciu, Enrico Prati
Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse. QCE (2022)
Haris Dukic, Shahab Mokarizadeh, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu, Marco Trincavelli
Inductive-transductive learning for very sparse fashion graphs. Neurocomputing 504 (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-based Continual Learning Methods. CoRR (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR (2022)
Michele Resta, Davide Bacciu
Continual Incremental Language Learning for Neural Machine Translation. ESANN (2022)
Dario Balboni, Davide Bacciu
An Empirical Verification of Wide Networks Theory. BMVC (2022)

Davide Bacciu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Davide Bacciu