About us

… and what we do

The Learning And Signal Processing is a research lab led by Dr. Laura Toni and is part of the Department of Electrical Engineering and Computer Engineering at the University College London.

Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtual reality services, data-efficient multi-arm bandit problems for online recommendation systems, graph-based reinforcement learning for AI systems, and influence maximization over social networks. Our research is at the crossroad between multimedia processing, machine learning, and signal processing.

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Recent Publications

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Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell (2024). Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory.

Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni (2023). A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. CoRR.

Pedro Gomes, Silvia Rossi, Laura Toni (2023). AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects. CoRR.

Iason Chaimalas, Duncan Martin Walker, Edoardo Gruppi, Benjamin Richard Clark, Laura Toni (2023). Bootstrapped Personalized Popularity for Cold Start Recommender Systems. Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023.

Silvia Rossi, Laura Toni, Pablo César (2023). Correlation between Entropy and Prediction Error in VR Head Motion Trajectories. Proceedings of the 2nd International Workshop on Interactive eXtended Reality, IXR 2023, Ottawa ON, Canada, 29 October 2023.

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Contact

l.toni@ucl.ac.uk
Gower Street, London, WC1E 7JE
Malet Place Engineering Building