Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtualContinue Reading
Latest Posts
Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtualContinue Reading
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 enableContinue Reading
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:Continue Reading
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,Continue Reading
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-proteinContinue Reading
“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 reinforcementContinue Reading
“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 mediaContinue Reading
