Uncertainty Quantification in Learning from Pairwise Comparisons (更改至5月26日周四)

Network Gradient Descent Algorithm for Decentralized Federated Learning

Metric geometry of Calabi-Yau manifolds in complex dimension two

Some numerical issues regarding deep neural network approximations for PDEs.

On orthogonality of Kohn-Sham wavefunctions in ground state calculations

Time-domain metamaterial models and finite element simulations

Exponential ergodicity of branching processeswith immigration and competition

Manifold Principle Component Analysis for Large-Dimensional Matrix Elliptical Factor Model

PINNs for solving forward and inverse problems governed by stochastic-fractional PDEs

Optimization with learning-informed models and their applications in optimal control and inverse problems