Fabrizio Ventola

16 papers A* 1A 2B 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep probabilistic circuits for efficient uncertainty handling in learning systems. Autom. Fabrizio Ventola
2025	—	`conf`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. AutoML Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2025	J	`jnl`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. CoRR Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2024	—	`conf`	Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting. AutoML Jonas Seng, Fabian Kalter, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2023	J	`jnl`	Probabilistic Circuits That Know What They Don't Know. CoRR Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2023	A	`conf`	Probabilistic circuits that know what they don't know. UAI Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2022	A	`conf`	Predictive Whittle networks for time series. UAI Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2022	J	`jnl`	User-Level Label Leakage from Gradients in Federated Learning. Proc. Priv. Enhancing Technol. Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	J	`jnl`	DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection. CoRR Steven Lang, Fabrizio Ventola, Kristian Kersting
2021	—	`conf`	Elevating Perceptual Sample Quality in PCs through Differentiable Sampling. Pre-Registration Workshop @ NeurIPS Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting
2021	B	`conf`	Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. ILP Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting. CoRR Nils Thoma, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2021	J	`jnl`	User Label Leakage from Gradients in Federated Learning. CoRR Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	A*	`conf`	Whittle Networks: A Deep Likelihood Model for Time Series. ICML Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2020	—	`conf`	Residual Sum-Product Networks. PGM Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	J	`jnl`	Random Sum-Product Forests with Residual Links. CoRR Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting