Philippe Burlina


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About/Research Interests


My research work is on machine learning and the specific areas of: generative models with implications for semantics attributes and disentanglement, sensitivity analysis of DL models, fairness/bias in AI, low-shot learning, anomaly detection, adversarial machine learning, and AI privacy. I focus on leading teams and designing AI algorithms that are impactful for applications in healthcare and autonomy.

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