Francesco Tonolini

According to our database, Francesco Tonolini authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models.

Francesco Tonolini, Nikolaos Aletras, Jordan Massiah, Gabriella Kazai

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Robust Weak Supervision with Variational Auto-Encoders.

Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai

Proceedings of the International Conference on Machine Learning, 2023

Rethinking Semi-supervised Learning with Language Models.

Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Forward and Inverse models in HCI: Physical simulation and deep learning for inferring 3D finger pose.

Roderick Murray-Smith, John H. Williamson, Andrew Ramsay, Francesco Tonolini, Simon Rogers, Antoine Loriette

CoRR, 2021

Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data.

Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Variational Inference for Computational Imaging Inverse Problems.

Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith

J. Mach. Learn. Res., 2020

2019

Spatial images from temporal data.

Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica A. Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio

CoRR, 2019

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy.

Hunter Gabbard, Chris Messenger, Ik Siong Heng, Francesco Tonolini, Roderick Murray-Smith

CoRR, 2019

Variational Inference for Computational Imaging Inverse Problems.

Francesco Tonolini, Ashley Lyons, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith

CoRR, 2019

Variational Sparse Coding.

Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Networking across boundaries: enabling wireless communication through the water-air interface.

Francesco Tonolini, Fadel Adib

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018