Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Le-Xing Ying

h-index 3 View on Semantic Scholar

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Solving the Fokker–Planck Equation of Discretized Dean–Kawasaki Models with Functional Hierarchical Tensor

Abstract. We propose a particle-based workflow for approximating the time-dependent law of finite-volume discretizations of the Dean–Kawasaki model. After discretization, the state is a nonnegative vector whose total mass is conserved by the finite-volume scheme, and it is therefore supported on a probability simplex....

Xun Tang, Lexing Ying · 0 citations
Jul 2026

Variational Inference and Density Estimation with Non-negative Tensor Train

An efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format and observing that the proposed NTT fitting procedure exhibits drastically faster convergence than an alternative multiplicative update method that has been previously proposed...

Xun Tang, Rajat Vadiraj Dwaraknath, Le-Xing Ying · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.