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The Gradient: Perspectives on AI
The Gradient: Perspectives on AI

David Pfau: Manifold Factorization and AI for Science

Jul 11, 2024 · 2h 0m
AI Summary
  • David Pfau discusses spectral learning, manifold factorization, and representation theory applied to deep learning and quantum mechanics
  • Research covers disentangling manifolds through (projective) representation theory and applications of deep learning to computational quantum mechanics
  • Exploration of how to pick and pursue meaningful research problems and directions in machine learning and scientific computing

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