Applied Mathematics
Printer-friendly versionTransport methods for likelihood-free inference and nonlinear filtering
Overparameterized and Adversarially Robust Sparse Models
Spline Insights into Deep Learning
Data-Driven Model Discovery and Physics-Informed Learning
Deterministic Gibbs Sampling via Ordinary Differential Equations
Learning in Graph Neural Networks
Fighting drug resistance with math
Confidence budget matching for sequential budgeted learning
Understanding convolutional neural networks through signal processing: From signals to manifolds to graphs
