Andrea Agostinelli

According to our database, Andrea Agostinelli authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

MusicRL: Aligning Music Generation to Human Preferences.

Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli

CoRR, 2024

2023

Brain2Music: Reconstructing Music from Human Brain Activity.

Timo I. Denk, Yu Takagi, Takuya Matsuyama, Andrea Agostinelli, Tomoya Nakai, Christian Havnø Frank, Shinji Nishimoto

CoRR, 2023

SingSong: Generating musical accompaniments from singing.

Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel

CoRR, 2023

MusicLM: Generating Music From Text.

Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse H. Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havnø Frank

CoRR, 2023

2022

How Stable Are Transferability Metrics Evaluations?

Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2022, 2022

Transferability Estimation using Bhattacharyya Class Separability.

Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transferability Metrics for Selecting Source Model Ensembles.

Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control.

Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath

CoRR, 2019

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means.

Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath

CoRR, 2019