Federico Tomasi

22 papers A* 3A 5B 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation. RecSys Federico Tomasi, Francesco Fabbri, Justin Carter, Elias Kalomiris, Mounia Lalmas, Zhenwen Dai
2024	J	`jnl`	Diffusion Model for Slate Recommendation. CoRR Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai
2024	A*	`conf`	In-context Exploration-Exploitation for Reinforcement Learning. ICLR Zhenwen Dai, Federico Tomasi, Sina Ghiassian
2024	J	`jnl`	In-context Exploration-Exploitation for Reinforcement Learning. CoRR Zhenwen Dai, Federico Tomasi, Sina Ghiassian
2023	A*	`conf`	Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. KDD Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
2023	J	`jnl`	Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. CoRR Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
2022	A	`conf`	Efficient inference for dynamic topic modeling with large vocabularies. UAI Federico Tomasi, Mounia Lalmas, Zhenwen Dai
2021	J	`jnl`	Making Differentiable Architecture Search less local. CoRR Erik Bodin, Federico Tomasi, Zhenwen Dai
2021	—	`conf`	Multi-Task Learning of Graph-based Inductive Representations of Music Content. ISMIR Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas
2020	A	`conf`	Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
2020	A	`conf`	Query Understanding for Surfacing Under-served Music Content. CIKM Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas
2020	A	`conf`	Stochastic Variational Inference for Dynamic Correlated Topic Models. UAI Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai
2020	B	`conf`	Temporal Pattern Detection in Time-Varying Graphical Models. ICPR Federico Tomasi, Veronica Tozzo, Annalisa Barla
2019	—	`—`	Graphical Models for Multivariate Time-Series. Federico Tomasi
2018	—	`conf`	Forward-Backward Splitting for Time-Varying Graphical Models. PGM Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo
2018	J	`jnl`	Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. CoRR Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla
2018	A*	`conf`	Latent Variable Time-varying Network Inference. KDD Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
2018	J	`jnl`	Latent variable time-varying network inference. CoRR Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
2018	—	`conf`	Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. MLHC Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili
2017	—	`conf`	Adenine: A HPC-Oriented Tool for Biological Data Exploration. CIBB Samuele Fiorini, Federico Tomasi, Margherita Squillario, Annalisa Barla
2017	—	`conf`	Icing: Large-Scale Inference of Immunoglobulin Clonotypes. CIBB Federico Tomasi, Margherita Squillario, Alessandro Verri, Davide Bagnara, Annalisa Barla
2016	—	`conf`	PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. PyHPC@SC Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla