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    Louis-Pascal Xhonneux

    Student at University of Cambridge

    Louis-Pascal Xhonneux is a researcher in the field of machine learning and artificial intelligence, with a focus on graph neural networks and algorithmic reasoning. He pursued his education at the University of Cambridge, known for its academic excellence. Xhonneux has worked on developing novel approaches to transfer algorithmic reasoning knowledge to learn new algorithms, particularly in the context of graph algorithms.14

    Some key points about Louis-Pascal Xhonneux:

    1. He is a PhD student, likely working under the supervision of Yoshua Bengio and Jian Tang, based on his research collaborations.4

    2. Xhonneux has co-authored papers on topics such as "How to transfer algorithmic reasoning knowledge to learn new algorithms" and "RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs".42

    3. His research interests include neural algorithmic reasoning, graph neural networks, and their applications in decision-making and reinforcement learning.1

    4. Xhonneux has presented his work at academic conferences and reading groups, demonstrating expertise in explaining complex concepts in machine learning and graph theory.1

    It's important to note that the LinkedIn username provided (louis-pascal-xhonneux-3a85a2141) appears to be incorrect, as it corresponds to a profile for Sophie Xhonneux rather than Louis-Pascal Xhonneux.3 The correct LinkedIn profile for Louis-Pascal Xhonneux was not found in the provided search results.

    Highlights

    Aug 10 · par.nsf.gov
    [PDF] Knowledge Graph Reasoning and Its Applications - NSF-PAR
    Feb 15 · arxiv.org
    [1912.00967] Continuous Graph Neural Networks - arXiv
    Jan 19 · youtube.com
    Louis-Pascal Xhonneux & Andreea Deac - YouTube
    Oct 26 · arxiv.org
    How to transfer algorithmic reasoning knowledge to learn new ...

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    Louis-Pascal Xhonneux
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    Location

    Cambridge, United Kingdom
    Location