E
Emil M. Constantinescu
H-index:29
Citation Count:3,415
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Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets
提升生成建模的可解释性:在科学数据集中由生成因子引导的统计解耦潜在空间
Machine Learning
IF2.9
Scalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker-Planck-Boltzmann model
具有动态网格自适应的可扩展隐式求解器,用于相对论漂移动力学fokker-planck-boltzmann模型
PETSC TSADJOINT: A DISCRETE ADJOINT ODE SOLVER FOR FIRST-ORDER AND SECOND-ORDER SENSITIVITY ANALYSIS
PETSC TSADJOINT: 一阶和二阶灵敏度分析的离散伴随ODE求解器
Mass-conserving implicit-explicit methods for coupled compressible Navier-Stokes equations
耦合可压缩navier-stokes方程的质量保留隐式-显式方法

