RESEARCH

Local in time solution to ES-BGK model with correct Prandtl number

Self-Supervised Drift-Resilient Classification for Time Series Industrial Anomaly Detection

Finite Element Operator Network for Solving Elliptic-Type Parametric PDEs

A New Path Method for Exponential Ergodicity of Markov Processes on Zd, with Applications to Stochastic Reaction Networks

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T ) Regret

Dynamical billiard and a long-time behavior of the Boltzmann equation in general 3D toroidal domains

On the Large Amplitude Solution of the Boltzmann equation with Large External Potential and Boundary Effects

Hamilton–Jacobi based policy-iteration via deep operator learning