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The countoscope: measuring self and collective dynamics without trajectories
Driven by physical questions pertaining to quantifying particle dynamics, microscopy can
now resolve complex systems at the single-particle level, from cellular organisms to …
now resolve complex systems at the single-particle level, from cellular organisms to …
Bilo: Bilevel local operator learning for pde inverse problems
We propose a new neural network based method for solving inverse problems for partial
differential equations (PDEs) by formulating the PDE inverse problem as a bilevel …
differential equations (PDEs) by formulating the PDE inverse problem as a bilevel …
Incorporating spatial diffusion into models of bursty stochastic transcription
CE Miles - bioRxiv, 2024 - biorxiv.org
The dynamics of gene expression are both stochastic and spatial at the molecular scale.
Mechanistic models of mRNA count distributions have revealed countless insights but …
Mechanistic models of mRNA count distributions have revealed countless insights but …
[PDF][PDF] Inverse PDE problem using Physics-Informed Neural Network
L Trinh, SA McKinley, T Buvoli, CE Miles - assets.zyrosite.com
From a collection of snapshot observations of stochastic birth-death-diffusion processes, we
want to infer their underlying dynamics.[2] has pointed out the connection between spatial …
want to infer their underlying dynamics.[2] has pointed out the connection between spatial …