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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