Francesco Tonolini

16 papers A* 4A 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations.
SIGIR
Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
2025 J jnl
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations.
CoRR
Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
2025 J jnl
Measuring Uncertainty Calibration.
CoRR
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, Juan Elenter Litwin, Francesco Tonolini, David Gustaffson, Eva Garcia Martin, Carmen Barcena Gonzales, Raphaëlle Bertrand-Lalo
2024 — conf
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models.
ACL (Findings)
Francesco Tonolini, Nikolaos Aletras, Jordan Massiah, Gabriella Kazai
2023 — conf
Rethinking Semi-supervised Learning with Language Models.
ACL (Findings)
Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao
2023 J jnl
Rethinking Semi-supervised Learning with Language Models.
CoRR
Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao
2023 A* conf
Robust Weak Supervision with Variational Auto-Encoders.
ICML
Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai
2021 J jnl
Forward and Inverse models in HCI: Physical simulation and deep learning for inferring 3D finger pose.
CoRR
Roderick Murray-Smith, John H. Williamson, Andrew Ramsay, Francesco Tonolini, Simon Rogers, Antoine Loriette
2021 A* conf
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data.
ICLR
Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith
2020 J jnl
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data.
CoRR
Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith
2020 J jnl
Variational Inference for Computational Imaging Inverse Problems.
J. Mach. Learn. Res.
Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith
2019 J jnl
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy.
CoRR
Hunter Gabbard, Chris Messenger, Ik Siong Heng, Francesco Tonolini, Roderick Murray-Smith
2019 J jnl
Spatial images from temporal data.
CoRR
Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica A. Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio
2019 J jnl
Variational Inference for Computational Imaging Inverse Problems.
CoRR
Francesco Tonolini, Ashley Lyons, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith
2019 A conf
Variational Sparse Coding.
UAI
Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith
2018 A* conf
Networking across boundaries: enabling wireless communication through the water-air interface.
SIGCOMM
Francesco Tonolini, Fadel Adib