Machine learning researcher at Apple MLR Paris
Machine Learning Researcher, MLR Paris · current
Pierre brings serious optimization theory to the practical questions of training foundation models, and mentors students while doing it. His proofs that sigmoid attention transformers are universal approximators gave a speedup a solid mathematical floor.
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