Scalable Approach to Differentiable Pattern Mining with Coverage Regularization
Scalable differentiable pattern mining approach with coverage regularization for large-scale datasets.
Seasoned AI research leader with 15+ years of experience in academia and industry. Currently serving as Full Professor at EPITA and Head of AI & Pedagogy Research Program at IONIS Education Group. Expertise spans reinforcement learning, natural language processing, robotics, and large language models, with a proven track record of translating cutting-edge research into impactful real-world applications.
My research has achieved state-of-the-art performance on major benchmarks and has been recognized with international awards. I hold 17 patents in machine learning and NLP, and have led teams ranging from 6 to 30 researchers across academia and industry. My current focus includes developing AI-driven educational tools, advancing robotic learning with LLMs, and mentoring the next generation of AI researchers.
Scalable differentiable pattern mining approach with coverage regularization for large-scale datasets.
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