Exact Discrete Stochastic Simulation With Deep-Learning-Scale Gradient Optimization. [PDF]
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Vilar JMG, Saiz L.
europepmc +2 more sources
Harnessing biological variability for mechanistic inference: A stochastic framework applied to neural stem cell dynamics. [PDF]
Wang RY +3 more
europepmc +1 more source
Stochastic theory for pattern formation and front propagation in transitional pipe turbulence. [PDF]
Wang X, Shih HY, Goldenfeld N.
europepmc +1 more source
Multiscale modelling of birth-death processes. [PDF]
Kimpson T +3 more
europepmc +1 more source
Inverse-Probability-Weighted Wavelet Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes. [PDF]
Bouzebda S, Didi S.
europepmc +1 more source
Risk-sensitive mean-field control of large-scale UAV Swarms for stochastic disaster tracking and robust first response. [PDF]
Sayeed MA +3 more
europepmc +1 more source
Systematic comparison of inverse Langevin function approximations in stochastic dumbbell dynamics. [PDF]
Cromer M, Vasquez PA.
europepmc +1 more source
Fast Nonparametric Density-Based Clustering of Large Data Sets Using a Stochastic Approximation Mean-Shift Algorithm. [PDF]
Hyrien O, Baran A.
europepmc +1 more source
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source

