VERGARI, ANTONIO
VERGARI, ANTONIO
Alternative Variable Splitting Methods to Learn Sum-Product Networks
2017-01-01 DI MAURO, Nicola; Esposito, Floriana; Ventola, Fabrizio G.; Vergari, Antonio
Density Estimators for Positive-Unlabeled Learning
2018-01-01 Basile, Teresa M. A.; Di Mauro, Nicola; Esposito, Floriana; Ferilli, Stefano; Vergari, Antonio
Encoding and Decoding Representations with Sum- and Max-Product Networks
2017-01-01 Vergari, Antonio; Peharz, Robert; DI MAURO, Nicola; Esposito, Floriana
End-to-end learning of deep spatio-temporal representations for satellite image time series classification
2017-01-01 Di Mauro, Nicola; Vergari, Antonio; Basile, Teresa M. A.; Ventola, Fabrizio G.; Esposito, Floriana
Ensembles of density estimators for positive-unlabeled learning
2019-01-01 Basile, T. M. A.; Di Mauro, N.; Esposito, F.; Ferilli, S.; Vergari, A.
Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks
2017-01-01 DI MAURO, Nicola; Vergari, Antonio; Basile, Teresa M. A.; Esposito, Floriana
How to Turn Your Knowledge Graph Embeddings into Generative Models
2023-01-01 Loconte, L.; Di Mauro, N.; Peharz, R.; Vergari, A.
Learning accurate cutset networks by exploiting decomposability
2015-01-01 DI MAURO, Nicola; Vergari, Antonio; Esposito, Floriana
Learning Bayesian random cutset forests
2015-01-01 DI MAURO, Nicola; Vergari, Antonio; Basile, TERESA MARIA
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
2018-01-01 Molina, Alejandro; Vergari, Antonio; DI MAURO, Nicola; Natarajan, Sriraam; Esposito, Floriana; Kersting, Kristian
Multi-Label Classification with Cutset Networks
2016-01-01 DI MAURO, Nicola; Vergari, Antonio; Esposito, Floriana
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning
2015-01-01 Vergari, Antonio; DI MAURO, Nicola; Esposito, Floriana
Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks
2018-01-01 Vergari, Antonio; Peharz, Robert; DI MAURO, Nicola; Molina, Alejandro; Kersting, Kristian; Esposito, Floriana
Sum-Product Network structure learning by efficient product nodes discovery
2018-01-01 Di Mauro, N.; Esposito, F.; Ventola, F. G.; Vergari, A.
Unifying and Understanding Overparameterized Circuit Representations via Low-Rank Tensor Decompositions
2023-01-01 Mari, Antonio; Vessio, Gennaro; Vergari, Antonio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Alternative Variable Splitting Methods to Learn Sum-Product Networks | 1-gen-2017 | DI MAURO, Nicola; Esposito, Floriana; Ventola, Fabrizio G.; Vergari, Antonio | |
| Density Estimators for Positive-Unlabeled Learning | 1-gen-2018 | Basile, Teresa M. A.; Di Mauro, Nicola; Esposito, Floriana; Ferilli, Stefano; Vergari, Antonio | |
| Encoding and Decoding Representations with Sum- and Max-Product Networks | 1-gen-2017 | Vergari, Antonio; Peharz, Robert; DI MAURO, Nicola; Esposito, Floriana | |
| End-to-end learning of deep spatio-temporal representations for satellite image time series classification | 1-gen-2017 | Di Mauro, Nicola; Vergari, Antonio; Basile, Teresa M. A.; Ventola, Fabrizio G.; Esposito, Floriana | |
| Ensembles of density estimators for positive-unlabeled learning | 1-gen-2019 | Basile, T. M. A.; Di Mauro, N.; Esposito, F.; Ferilli, S.; Vergari, A. | |
| Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks | 1-gen-2017 | DI MAURO, Nicola; Vergari, Antonio; Basile, Teresa M. A.; Esposito, Floriana | |
| How to Turn Your Knowledge Graph Embeddings into Generative Models | 1-gen-2023 | Loconte, L.; Di Mauro, N.; Peharz, R.; Vergari, A. | |
| Learning accurate cutset networks by exploiting decomposability | 1-gen-2015 | DI MAURO, Nicola; Vergari, Antonio; Esposito, Floriana | |
| Learning Bayesian random cutset forests | 1-gen-2015 | DI MAURO, Nicola; Vergari, Antonio; Basile, TERESA MARIA | |
| Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains | 1-gen-2018 | Molina, Alejandro; Vergari, Antonio; DI MAURO, Nicola; Natarajan, Sriraam; Esposito, Floriana; Kersting, Kristian | |
| Multi-Label Classification with Cutset Networks | 1-gen-2016 | DI MAURO, Nicola; Vergari, Antonio; Esposito, Floriana | |
| Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning | 1-gen-2015 | Vergari, Antonio; DI MAURO, Nicola; Esposito, Floriana | |
| Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks | 1-gen-2018 | Vergari, Antonio; Peharz, Robert; DI MAURO, Nicola; Molina, Alejandro; Kersting, Kristian; Esposito, Floriana | |
| Sum-Product Network structure learning by efficient product nodes discovery | 1-gen-2018 | Di Mauro, N.; Esposito, F.; Ventola, F. G.; Vergari, A. | |
| Unifying and Understanding Overparameterized Circuit Representations via Low-Rank Tensor Decompositions | 1-gen-2023 | Mari, Antonio; Vessio, Gennaro; Vergari, Antonio |