PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. - Matteo Barbieri; Samuele Fiorini; Federico Tomasi; Annalisa Barla (PyHPC@SC, 2016)

Adenine: A HPC-Oriented Tool for Biological Data Exploration. - Samuele Fiorini; Federico Tomasi; Margherita Squillario; Annalisa Barla (CIBB, 2017)

Icing: Large-Scale Inference of Immunoglobulin Clonotypes. - Federico Tomasi; Margherita Squillario; Alessandro Verri; Davide Bagnara; Annalisa Barla (CIBB, 2017)

Latent Variable Time-varying Network Inference. - Federico Tomasi; Veronica Tozzo; Saverio Salzo; Alessandro Verri (KDD, 2018)

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. - Vanessa D'Amario; Federico Tomasi; Veronica Tozzo; Gabriele Arnulfo; Annalisa Barla; Lino Nobili (MLHC, 2018)

Forward-Backward Splitting for Time-Varying Graphical Models. - Federico Tomasi; Veronica Tozzo; Alessandro Verri; Saverio Salzo (PGM, 2018)

Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. - Veronica Tozzo; Federico Tomasi; Margherita Squillario; Annalisa Barla (CoRR, 2018)

Graphical Models for Multivariate Time-Series. - Federico Tomasi (2019)

Query Understanding for Surfacing Under-served Music Content. - Federico Tomasi; Rishabh Mehrotra; Aasish Pappu; Judith Bütepage; Brian Brost; Hugo Galvão; Mounia Lalmas (CIKM, 2020)

Temporal Pattern Detection in Time-Varying Graphical Models. - Federico Tomasi; Veronica Tozzo; Annalisa Barla (ICPR, 2020)

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. - Casper Hansen; Christian Hansen 004; Lucas Maystre; Rishabh Mehrotra; Brian Brost; Federico Tomasi; Mounia Lalmas (RecSys, 2020)

Stochastic Variational Inference for Dynamic Correlated Topic Models. - Federico Tomasi; Praveen Chandar; Gal Levy-Fix; Mounia Lalmas-Roelleke; Zhenwen Dai (UAI, 2020)

Multi-Task Learning of Graph-based Inductive Representations of Music Content. - Antonia Saravanou; Federico Tomasi; Rishabh Mehrotra; Mounia Lalmas (ISMIR, 2021)

Making Differentiable Architecture Search less local. - Erik Bodin; Federico Tomasi; Zhenwen Dai (CoRR, 2021)

Efficient inference for dynamic topic modeling with large vocabularies. - Federico Tomasi; Mounia Lalmas; Zhenwen Dai (UAI, 2022)

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. - Federico Tomasi; Joseph Cauteruccio; Surya Kanoria; Kamil Ciosek; Matteo Rinaldi; Zhenwen Dai (KDD, 2023)

In-context Exploration-Exploitation for Reinforcement Learning. - Zhenwen Dai; Federico Tomasi; Sina Ghiassian (ICLR, 2024)

Diffusion Model for Slate Recommendation. - Federico Tomasi; Francesco Fabbri; Mounia Lalmas; Zhenwen Dai (CoRR, 2024)