RESEARCH

Stochastic-Constrained Stochastic Optimization with Markovian Data

An adaptive dual-level reinforcement learning approach for optimal trade execution

Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks

Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data

On the Temperature Distribution of a Body Heated by Radiation

Semi-analytic PINN methods for singularly perturbed boundary value problems

A nonexistence result for wing-like mean curvature flows in R4

A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension