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Fabrizio Ventola
Fabrizio Ventola
Geverifieerd e-mailadres voor cs.tu-darmstadt.de
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End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification.
N Di Mauro, A Vergari, TMA Basile, FG Ventola, F Esposito
DC@ PKDD/ECML, 2017
262017
User label leakage from gradients in federated learning
A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ...
arXiv preprint arXiv:2105.09369, 2021
102021
DAFNe: A one-stage anchor-free deep model for oriented object detection
S Lang, F Ventola, K Kersting
arXiv preprint arXiv:2109.06148, 2021
72021
Alternative variable splitting methods to learn sum-product networks
ND Mauro, F Esposito, FG Ventola, A Vergari
Conference of the Italian Association for Artificial Intelligence, 334-346, 2017
72017
Whittle networks: A deep likelihood model for time series
Z Yu, FG Ventola, K Kersting
International Conference on Machine Learning, 12177-12186, 2021
62021
Sum-product network structure learning by efficient product nodes discovery
N Di Mauro, F Esposito, FG Ventola, A Vergari
Intelligenza Artificiale 12 (2), 143-159, 2018
62018
Residual sum-product networks
F Ventola, K Stelzner, A Molina, K Kersting
International Conference on Probabilistic Graphical Models, 545-556, 2020
32020
Sum-product logic: integrating probabilistic circuits into deepproblog
A Skryagin, K Stelzner, A Molina, F Ventola, Z Yu, K Kersting
Working Notes of the ICML 2020 Workshop on Bridge Between Perception and …, 2020
32020
Splog: Sum-product logic
A Skryagin, K Stelzner, A Molina, F Ventola, K Kersting
Proceedings of the 2nd international conference on probabilistic programming, 2020
32020
Recowns: Probabilistic circuits for trustworthy time series forecasting
N Thoma, Z Yu, F Ventola, K Kersting
arXiv preprint arXiv:2106.04148, 2021
22021
User-Level Label Leakage from Gradients in Federated Learning
A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ...
Proceedings on Privacy Enhancing Technologies 2022 (2), 227-244, 2022
12022
Random sum-product forests with residual links
F Ventola, K Stelzner, A Molina, K Kersting
arXiv preprint arXiv:1908.03250, 2019
12019
Predictive Whittle Networks for Time Series
Z Yu, F Ventola, N Thoma, DS Dhami, M Mundt, K Kersting
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
2022
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits
F Ventola, DS Dhami, K Kersting
International Conference on Inductive Logic Programming, 251-265, 2021
2021
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
S Lang, F Ventola, K Kersting
arXiv preprint arXiv:2109.06148, 2021
2021
Elevating Perceptual Sample Quality in Probabilistic Circuits through Differentiable Sampling
S Lang, M Mundt, F Ventola, R Peharz, K Kersting
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Artikelen 1–16