Fabrizio Ventola

According to our database, Fabrizio Ventola authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Probabilistic circuits that know what they don't know.

Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

User-Level Label Leakage from Gradients in Federated Learning.

Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser

Proc. Priv. Enhancing Technol., 2022

Predictive Whittle networks for time series.

Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection.

Steven Lang, Fabrizio Ventola, Kristian Kersting

CoRR, 2021

RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting.

Nils Thoma, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting

CoRR, 2021

User Label Leakage from Gradients in Federated Learning.

Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser

CoRR, 2021

Elevating Perceptual Sample Quality in PCs through Differentiable Sampling.

Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits.

Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Whittle Networks: A Deep Likelihood Model for Time Series.

Zhongjie Yu, Fabrizio Ventola, Kristian Kersting

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Residual Sum-Product Networks.

Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

Random Sum-Product Forests with Residual Links.

Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting

CoRR, 2019

2018

Sum-Product Network structure learning by efficient product nodes discovery.

Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari

Intelligenza Artificiale, 2018

2017

End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification.

Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Fabrizio Giuseppe Ventola, Floriana Esposito

Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Alternative Variable Splitting Methods to Learn Sum-Product Networks.

Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017