9 papers
Analysis of molecular dynamics simulation data via statistical distances between covariance matrices
Yusuke Ono, Takumi Sato, Kenji Yasuoka +1
Molecular dynamics (MD) simulations are powerful tools for elucidating the macroscopic physical properties of materials from microscopic atomic behaviors. However, the massive, hig…
Learning Entanglement Quasiprobability from Noisy and Incomplete Data
Yu-Zhuo Li, Li-Chao Peng, Ke-Mi Xu
Negativities in quasiprobability distributions, a foundational concept originating in quantum optics, serve as a fundamental signature of quantum nonclassicality, with entanglement…
-invariant integrable systems from factorisation of linear differential and difference operators
Frank Nijhoff, Linyu Peng, Cheng Zhang +1
In this paper, we present a unified approach to constructing continuous and discrete -invariant integrable systems, formulated in terms of the common dependent var…
Local profiles of self-similar solutions of the planar stationary Navier--Stokes equations
Ming Li, Linyu Peng, Ping Zhang +1
In this paper, we revisit self-similar solutions of the two-dimensional stationary incompressible Navier-Stokes equations under scaling symmetries, also known as Jeffery-Hamel solu…
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Weizhi Gao, Zhichao Hou, Junqi Yin +3
Diffusion models have emerged as powerful generative models, but their high computation cost in iterative sampling remains a significant bottleneck. In this work, we present an in-…
Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
Yu Zhang, Linyu Peng, Bing-Zhao Li
Graph signals are widely used to describe vertex attributes or features in graph-structured data, with applications spanning the internet, social media, transportation, sensor netw…