Nikita Lagrange
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    • Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation
    • CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data
    • An efficient search-and-score algorithm for ancestral graphs using multivariate information scores
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    • Reliable Causal Discovery from Information Theoretic Principles (State of the art & ongoing project)
    • Improving Graphical Models Through Data Generative Approaches
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Improving Graphical Models Through Data Generative Approaches

Sep 27, 2023· Nikita Lagrange
PDF
Abstract
Presentation of my thesis project and preliminary results to the AI-DSCY (Artificial Intelligence for Data Science and CYbersecurity) team
Date
Sep 27, 2023
Event
AI-DSCY Machine Learning Workshop
Location

Centre Borelli, Espace Ambroise Paré

45n rue des Saints Pères, Paris, France 75006


← Reliable Causal Discovery from Information Theoretic Principles (State of the art & ongoing project)

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