BACCIU, DAVIDE Statistiche
BACCIU, DAVIDE
DIPARTIMENTO DI INFORMATICA
Calibration of Continual Learning Models
2024-01-01 Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo
CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning
2024-01-01 Castellana, Daniele; Carta, Antonio; Bacciu, Davide
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
2024-01-01 Valenti, Andrea; Bacciu, Davide; Vergari, Antonio
Classifier-Free Graph Diffusion for Molecular Property Targeting
2024-01-01 Ninniri, Matteo; Podda, Marco; Bacciu, Davide
Constraint-Free Structure Learning with Smooth Acyclic Orientations
2024-01-01 Massidda, Riccardo; Landolfi, Francesco; Cinquini, Martina; Bacciu, Davide
Continual pre-training mitigates forgetting in language and vision
2024-01-01 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
Deep Learning for Dynamic Graphs: Models and Benchmarks
2024-01-01 Gravina, Alessio; Bacciu, Davide
Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit
2024-01-01 Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica
Drifting explanations in continual learning
2024-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Learning Causal Abstractions of Linear Structural Causal Models
2024-01-01 Massidda, Riccardo; Magliacane, Sara; Bacciu, Davide
Long Range Propagation on Continuous-Time Dynamic Graphs
2024-01-01 Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C.
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning
2024-01-01 Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text
2024-01-01 Simone, L.; Bacciu, D.; Gervasi, V.
Random Oscillators Network for Time Series Processing
2024-01-01 Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio
Self-generated Replay Memories for Continual Neural Machine Translation
2024-01-01 Resta, Michele; Bacciu, Davide
Sequential Continual Pre-Training for Neural Machine Translation
2024-01-01 DALLA NOCE, Niko; Resta, Michele; Bacciu, Davide
Shared Awareness Across Domain‐Specific Artificial Intelligence: An Alternative to Domain‐General Intelligence and Artificial Consciousness
2024-01-01 Deroy, Ophelia; Bacciu, Davide; Bahrami, Bahador; DELLA SANTINA, Cosimo; Hauert, Sabine
TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview
2024-01-01 De Caro, V.; Chronis, C.; Coppola, M.; Lomonaco, V.; Gallicchio, C.; Tserpes, K.; Bacciu, D.
Temporal Graph ODEs for Irregularly-Sampled Time Series
2024-01-01 Gravina, Alessio; Zambon, Daniele; Bacciu, Davide; Alippi, Cesare
A 2-Phase Strategy for Intelligent Cloud Operations
2023-01-01 Lanciano, Giacomo; Andreoli, Remo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Calibration of Continual Learning Models | 1-gen-2024 | Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo | |
| CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning | 1-gen-2024 | Castellana, Daniele; Carta, Antonio; Bacciu, Davide | |
| ChemAlgebra: Algebraic Reasoning on Chemical Reactions | 1-gen-2024 | Valenti, Andrea; Bacciu, Davide; Vergari, Antonio | |
| Classifier-Free Graph Diffusion for Molecular Property Targeting | 1-gen-2024 | Ninniri, Matteo; Podda, Marco; Bacciu, Davide | |
| Constraint-Free Structure Learning with Smooth Acyclic Orientations | 1-gen-2024 | Massidda, Riccardo; Landolfi, Francesco; Cinquini, Martina; Bacciu, Davide | |
| Continual pre-training mitigates forgetting in language and vision | 1-gen-2024 | Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide | |
| Deep Learning for Dynamic Graphs: Models and Benchmarks | 1-gen-2024 | Gravina, Alessio; Bacciu, Davide | |
| Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit | 1-gen-2024 | Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica | |
| Drifting explanations in continual learning | 1-gen-2024 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| Learning Causal Abstractions of Linear Structural Causal Models | 1-gen-2024 | Massidda, Riccardo; Magliacane, Sara; Bacciu, Davide | |
| Long Range Propagation on Continuous-Time Dynamic Graphs | 1-gen-2024 | Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C. | |
| Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning | 1-gen-2024 | Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost | |
| Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text | 1-gen-2024 | Simone, L.; Bacciu, D.; Gervasi, V. | |
| Random Oscillators Network for Time Series Processing | 1-gen-2024 | Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio | |
| Self-generated Replay Memories for Continual Neural Machine Translation | 1-gen-2024 | Resta, Michele; Bacciu, Davide | |
| Sequential Continual Pre-Training for Neural Machine Translation | 1-gen-2024 | DALLA NOCE, Niko; Resta, Michele; Bacciu, Davide | |
| Shared Awareness Across Domain‐Specific Artificial Intelligence: An Alternative to Domain‐General Intelligence and Artificial Consciousness | 1-gen-2024 | Deroy, Ophelia; Bacciu, Davide; Bahrami, Bahador; DELLA SANTINA, Cosimo; Hauert, Sabine | |
| TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview | 1-gen-2024 | De Caro, V.; Chronis, C.; Coppola, M.; Lomonaco, V.; Gallicchio, C.; Tserpes, K.; Bacciu, D. | |
| Temporal Graph ODEs for Irregularly-Sampled Time Series | 1-gen-2024 | Gravina, Alessio; Zambon, Daniele; Bacciu, Davide; Alippi, Cesare | |
| A 2-Phase Strategy for Intelligent Cloud Operations | 1-gen-2023 | Lanciano, Giacomo; Andreoli, Remo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea |