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DavideBuffelli/README.md

Hi there 👾

I am a Senior Deep Learning Researcher at MediaTek Research in London (UK). I have a broad interest in Deep Learning, with a current focus on foundation models for multimodal time-series, optimization, and representation learning for structured data.

I hold a Ph.D. in Information Engineering from the University of Padova, where I focused on Graph Neural Networks and Graph Representation Learning and I was supervised by Professor Fabio Vandin. During my PhD I have been a Research Scientist Intern at Meta AI (London) and at Samsung AI Research (Cambridge), and a visiting student in Professor Pietro Liò's group at the University of Cambridge, and in Dr. Bastian Rieck's group at Helmholtz Munich.

⚙️🔍

In this profile you will find code related to my research projects and to my papers.

💬 📫

If you want to know more about me, or you are looking for a way to contact me, check out my website: https://davidebuffelli.github.io

Popular repositories Loading

  1. TrASenD TrASenD Public

    Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F., IEEE Sensors Journal, 2021.

    Python 19 6

  2. SAME SAME Public

    Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings"

    Python 18 5

  3. SizeShiftReg SizeShiftReg Public

    Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"

    Python 12

  4. A-Deep-Learning-Model-for-Personalised-Human-Activity-Recognition A-Deep-Learning-Model-for-Personalised-Human-Activity-Recognition Public

    M.Sc. Thesis Material

    Python 7 2

  5. RWRReg RWRReg Public

    Code for the paper "Are Graph Convolutional Networks Fully Exploiting Graph Structure?", D. Buffelli, F. Vandin

    Python 1

  6. CliquePH CliquePH Public

    Code for the paper "CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs", published at LoG 2024

    Python 1