175 citations · 317 across the 46 of their papers we have counts for
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cs.LG2019★ 23 cited
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
Yifan Sun, Linan Zhang, Hayden Schaeffer
We propose a neural network based approach for extracting models from dynamic data using ordinary and partial differential equations. In particular, given a time-series or spatio-t…
stat.ML2019
Extending the step-size restriction for gradient descent to avoid strict saddle points
Hayden Schaeffer, Scott G. McCalla
We provide larger step-size restrictions for which gradient descent based algorithms (almost surely) avoid strict saddle points. In particular, consider a twice differentiable (non…