Applied Mathematics
Printer-friendly versionDeterministic 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
Unraveling hidden immune interactions through empirical dynamics
Inductive biases for deep learning over sequential data: from connectivity to memory addressing
Cancelled
Improving Nonlinear Canonical Correlation Analysis through Jointly Smooth Functions
