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.
Paper Accepted to International Workshop on Immersive Mixed and Virtual Environment Systems (Co-located with ACM MMSys2020)
05.05.2020: New paper accepted to MMVE workshop. Well done Silvia! Title: “Understanding User Navigation in Immersive Experience: an Information-Theoretic Analysis” Authors: SilviaContinue Reading
We are hirying! 1 PhD position available at LASP on graph learning for volumetric video processing.
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