Networking across boundaries: enabling wireless communication through the water-air interface. - Francesco Tonolini; Fadel Adib (SIGCOMM, 2018)

Variational Sparse Coding. - Francesco Tonolini; Bjørn Sand Jensen; Roderick Murray-Smith (UAI, 2019)

Variational Inference for Computational Imaging Inverse Problems. - Francesco Tonolini; Ashley Lyons; Piergiorgio Caramazza; Daniele Faccio; Roderick Murray-Smith (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)

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)

Variational Inference for Computational Imaging Inverse Problems. - Francesco Tonolini; Jack Radford; Alex Turpin; Daniele Faccio; Roderick Murray-Smith (J. Mach. Learn. Res., 2020)

Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data. - Francesco Tonolini; Pablo Garcia Moreno; Andreas C. Damianou; Roderick Murray-Smith (ICLR, 2021)

Forward and Inverse models in HCI: Physical simulation and deep learning for inferring 3D finger pose. - Roderick Murray-Smith; John H. Williamson 001; Andrew Ramsay; Francesco Tonolini; Simon Rogers; Antoine Loriette (CoRR, 2021)

Rethinking Semi-supervised Learning with Language Models. - Zhengxiang Shi; Francesco Tonolini; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai; Yunlong Jiao (ACL (Findings), 2023)

Robust Weak Supervision with Variational Auto-Encoders. - Francesco Tonolini; Nikolaos Aletras; Yunlong Jiao; Gabriella Kazai (ICML, 2023)

Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models. - Francesco Tonolini; Nikolaos Aletras; Jordan Massiah; Gabriella Kazai (ACL (Findings), 2024)

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. - Chuan Meng; Francesco Tonolini; Fengran Mo; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai (SIGIR, 2025)