15 citations · 18 across the 4 of their papers we have counts for
4 papers
Boundary Layer Transition as Succession of Temporal and Spatial Symmetry Breaking
Cong Lin, Oliver T. Schmidt
We show that both temporal and spatial symmetry breaking in canonical K-type transition arise as organized hydrodynamic structures rather than stochastic fluctuations. Before the s…
Linear model reduction using spectral proper orthogonal decomposition
Peter Frame, Cong Lin, Oliver Schmidt +1
Most model reduction methods reduce the state dimension and then temporally evolve a set of coefficients that encode the state in the reduced representation. In this paper, we inst…
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
Tianyang Hu, Wenjia Wang, Cong Lin +1
Overparametrized neural networks trained by gradient descent (GD) can provably overfit any training data. However, the generalization guarantee may not hold for noisy data. From a…
Self-organization of multi-layer spiking neural networks
Guruprasad Raghavan, Cong Lin, Matt Thomson
Living neural networks in our brains autonomously self-organize into large, complex architectures during early development to result in an organized and functional organic computat…