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This paper studies critical points in deep fully-connected networks with monomial activations, proving that for large activation degree, criticality occurs precisely at subnetworks, offering a mathematical perspective on implicit bias toward simpler functions.
Alexander Grothendieck revolutionized 20th-century mathematics through his work in algebraic geometry, focusing on hidden geometric structures and relationships between objects rather than the objects themselves.