Federico Tomasi

According to our database, Federico Tomasi authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Diffusion Model for Slate Recommendation.

Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai

CoRR, 2024

In-context Exploration-Exploitation for Reinforcement Learning.

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning.

Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Efficient inference for dynamic topic modeling with large vocabularies.

Federico Tomasi, Mounia Lalmas, Zhenwen Dai

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Making Differentiable Architecture Search less local.

Erik Bodin, Federico Tomasi, Zhenwen Dai

CoRR, 2021

Multi-Task Learning of Graph-based Inductive Representations of Music Content.

Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

Stochastic Variational Inference for Dynamic Correlated Topic Models.

Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.

Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Temporal Pattern Detection in Time-Varying Graphical Models.

Federico Tomasi, Veronica Tozzo, Annalisa Barla

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Query Understanding for Surfacing Under-served Music Content.

Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Graphical Models for Multivariate Time-Series.

Federico Tomasi

PhD thesis, 2019

2018

Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions.

Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla

CoRR, 2018

Forward-Backward Splitting for Time-Varying Graphical Models.

Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo

Proceedings of the International Conference on Probabilistic Graphical Models, 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

Proceedings of the Machine Learning for Healthcare Conference, 2018

Latent Variable Time-varying Network Inference.

Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Icing: Large-Scale Inference of Immunoglobulin Clonotypes.

Federico Tomasi, Margherita Squillario, Alessandro Verri, Davide Bagnara, Annalisa Barla

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Adenine: A HPC-Oriented Tool for Biological Data Exploration.

Samuele Fiorini, Federico Tomasi, Margherita Squillario, Annalisa Barla

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016

PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data.

Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016