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FeaturedOur research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtual… Read more
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Self-Learning Networks for Dynamic Mobile Traffic – New Cisco-funded Project
PI: Laura ToniScheme: Cisco Donation Developing efficient machine learning algorithms, specifically online sequential decision strategies, for automated network orchestrators that enable… Read more
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Paper Accepted at AISTATS2020
08.01.2020: New paper accepted to AISTATS 2020 on “Laplacian-regularized graph bandits: Algorithms and theoretical analysis”. Well done Kaige! ArXiv: https://arxiv.org/abs/1907.05632. Abstract:… Read more
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Art (I)Relevance: AI and art futures symposium
We will be attending the inaugural ‘AI and art futures symposium’, which will explore the interplay of art market futures,… Read more
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Vaccine development through graph-based machine learning generated host-pathogen interactome
PI: Laura ToniCollaborators: Royal Veterinary CollegeScheme: LiDO Program Using graph-based machine learning to infer structure and exploitation for prediction of protein-protein… Read more
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“Graph Based Reinforcement Learning” Project
PI: Laura ToniPhD Student: Sephora Madjiheurem Using graph signal processing to improve the data-efficiency of reinforcement learning algorithms Description Classical reinforcement… Read more
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“Adaptive Streaming for Immersive Communications” Project
PI: Laura ToniPhD Student: Silvia Rossi Using machine learning and signal processing techniques to optimize immersive communications. Description Immersive media… Read more
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Laura and Silvia in the OC of MMSys 2020
Laura will be the general co-chair for the 11th edition of ACM Multimedia Systems Conference (MMSys). Silvia will be the… Read more
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Laura Invited Speaker at the Lancaster-DeepMind Workshop on Bandit
The Statistics group at the Department of Mathematics at Lancaster University and Google Deepmind will be holding a specialist workshop… Read more
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The power of graphs in machine learning and sequential decision-making
INRIA and UCL organizing the workshop on “The power of graphs in machine learning and decision-making” supported by UCL Grand… Read more
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PhD Studentship: Graph Learning for Volumetric Video Processing
A fully-funded PhD studentship is available to EU students within the project of machine learning algorithms for immersive communication. The… Read more
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Paper Accepted at ICC2019
04.02.2019: New paper accepted to IEEE ICC 2019 on “Streaming From a Moving Platform with Real-Time and Playback Distortion Constraints” https://arxiv.org/abs/1804.03420
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Paper Accepted at AISTATS2019
14.01.2019: New paper accepted to AISTATS 2019 on “Representation Learning on Graphs: A Reinforcement Learning Application” https://arxiv.org/abs/1901.05351
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New preprint on “Spherical clustering of users navigating 360-degree content”
Abstract — In Virtual Reality (VR) applications, understanding how users ex- plore the visual content is important in order to… Read more
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More news
10.09.2018: New paper accepted to GlobalSIP 19.05.2018: Silvia Rossi won the Cisco Prize for her poster titled ‘Adaptive Streaming for… Read more
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