PASA, LUCA
PASA, LUCA
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A HMM-based pre-training approach for sequential data
2014 Pasa, Luca; Testolin, Alberto; Sperduti, Alessandro
A unified framework for backpropagation-free soft and hard gated graph neural networks
2024 Pasa, Luca; Navarin, Nicolo; Erb, Wolfgang; Sperduti, Alessandro
An analysis of speech enhancement and recognition losses in limited resources multi-talker single channel audio-visual ASR
2020 Pasa, L.; Morrone, G.; Badino, L.
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
2023 Navarin, Nicolo; Pasa, Luca; Oneto, Luca; Sperduti, Alessandro
An Untrained Neural Model for Fast and Accurate Graph Classification
2023 Navarin, N.; Pasa, L.; Gallicchio, C.; Sperduti, A.
Audio-visual target speaker enhancement on multi-talker environment using event-driven cameras
2021 Arriandiaga, Ander; Morrone, Giovanni; Pasa, Luca; Badino, Leonardo; Bartolozzi, Chiara
Backpropagation-free Graph Neural Networks
2022 Pasa, L.; Navarin, N.; Erb, W.; Sperduti, A.
Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration
2024 Frazzetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
Compact graph neural network models for node classification
2022 Pasa, L.; Navarin, N.; Sperduti, A.
Deep learning for graph-structured data
2022 Pasa, L.; Navarin, N.; Sperduti, A.
Deep recurrent graph neural networks
2020 Pasa, L.; Navarin, N.; Sperduti, A.
Empowering Simple Graph Convolutional Networks
2024 Pasa, L; Navarin, N; Erb, W; Sperduti, A
Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments
2019 Morrone, G.; Pasa, L.; Tikhanoff, V.; Bergamaschi, S.; Fadiga, L.; Badino, L.
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
2024 Franco, D.; D'Amato, V. S.; Pasa, L.; Navarin, N.; Oneto, L.
Graph Representation Learning
2023 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolo; Pasa, Luca; Podda, Marco; Zambon, Daniele
Informed Machine Learning for Complex Data
2024 Oneto, Luca; Navarin, Nicolo; Micheli, Alessio; Pasa, Luca; Gallicchio, Claudio; Bacciu, Davide; Anguita, Davide
Investigating over-parameterized randomized graph networks
2024 Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N.
Learning sequential data with the help of linear systems
2016 Pasa, Luca; Sperduti, Alessandro
Linear dynamical based models for sequential domains
2017 Pasa, Luca; Sperduti, Alessandro; Tino, Peter
Linear graph convolutional networks
2020 Navarin, N.; Erb, W.; Pasa, L.; Sperduti, A.