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Workshop
Expander Graph Propagation
Andreea Deac · Marc Lackenby · Petar Veličković
Poster
Thu 9:00 Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
Poster
Wed 14:00 Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Workshop
Expander Graph Propagation
Andreea Deac · Marc Lackenby · Petar Veličković
Workshop
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo · Shunyue Yuan · James Stokes · Bryan Clark
Poster
Thu 9:00 Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Draxler · Christoph Schnörr · Ullrich Köthe
Poster
Tue 14:00 A theory of weight distribution-constrained learning
Weishun Zhong · Ben Sorscher · Daniel Lee · Haim Sompolinsky
Poster
Wed 9:00 Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier · François Malgouyres · Francois Bachoc
Poster
Wed 14:00 Why neural networks find simple solutions: The many regularizers of geometric complexity
Benoit Dherin · Michael Munn · Mihaela Rosca · David Barrett
Poster
Thu 9:00 Theoretically Provable Spiking Neural Networks
Shao-Qun Zhang · Zhi-Hua Zhou
Poster
Thu 9:00 A Classification of G-invariant Shallow Neural Networks
Devanshu Agrawal · James Ostrowski
Poster
Thu 9:00 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang