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Publication search results
found 301 matches
- 2024
- Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella:
Extending OpenStack Monasca for Predictive Elasticity Control. Big Data Min. Anal. 7(2): 315-339 (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: 133-138 (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: 127935 (2024) - Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu:
Drifting explanations in continual learning. Neurocomputing 597: 127960 (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: 106492 (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): 177-189 (2024) - Alessio Gravina, Davide Bacciu:
Deep Learning for Dynamic Graphs: Models and Benchmarks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11788-11801 (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): 4899-4901 (2024) - Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi:
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. AIME (2) 2024: 249-253 - 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: 4807-4815 - Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu:
I Know How: Combining Prior Policies to Solve New Tasks. CoG 2024: 1-4 - Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco:
Calibration of Continual Learning Models. CVPR Workshops 2024: 4160-4169 - Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu:
TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. HPDC 2024: 381-384 - Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu:
Constraint-Free Structure Learning with Smooth Acyclic Orientations. ICLR 2024 - Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt:
Long Range Propagation on Continuous-Time Dynamic Graphs. ICML 2024 - Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI 2024: 4025-4034 - Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu:
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. IJCNN 2024: 1-8 - Andrea Valenti, Davide Bacciu, Antonio Vergari:
ChemAlgebra: Algebraic Reasoning on Chemical Reactions. IJCNN 2024: 1-8 - Michele Resta, Davide Bacciu:
Self-generated Replay Memories for Continual Neural Machine Translation. NAACL-HLT 2024: 175-191 - Matteo Ninniri, Marco Podda, Davide Bacciu:
Classifier-Free Graph Diffusion for Molecular Property Targeting. ECML/PKDD (4) 2024: 318-335 - 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 abs/2402.09030 (2024) - Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu:
Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CoRR abs/2403.07015 (2024) - Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu:
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. CoRR abs/2403.11292 (2024) - Michele Resta, Davide Bacciu:
Self-generated Replay Memories for Continual Neural Machine Translation. CoRR abs/2403.13130 (2024) - Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco:
Calibration of Continual Learning Models. CoRR abs/2404.07817 (2024) - Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero:
MultiSTOP: Solving Functional Equations with Reinforcement Learning. CoRR abs/2404.14909 (2024) - Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR abs/2404.19508 (2024) - Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb:
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR abs/2405.01009 (2024) - Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu:
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR abs/2405.17163 (2024) - Riccardo Massidda, Sara Magliacane, Davide Bacciu:
Learning Causal Abstractions of Linear Structural Causal Models. CoRR abs/2406.00394 (2024)
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