activity
20132024
most citedAdaptive Finite Element Solution of Multiscale PDE-ODE Systems

6 citations · 13 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2024

Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity

Quincy Hershey, Randy Paffenroth, Harsh Pathak +1

Neural networks (NN) can be divided into two broad categories, recurrent and non-recurrent. Both types of neural networks are popular and extensively studied, but they are often tr…

math.ST2023

Understanding the impact of numerical solvers on inference for differential equation models

Richard Creswell, Katherine M. Shepherd, Ben Lambert +5

Most ordinary differential equation (ODE) models used to describe biological or physical systems must be solved approximately using numerical methods. Perniciously, even those solv…

stat.ME2022

Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems

Ben Lambert, Chon Lok Lei, Martin Robinson +5

Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to spe…

math.NA2021

Error estimation for the time to a threshold value in evolutionary partial differential equations

Jehanzeb Chaudhry, Don Estep, Trevor Giannini +2

We develop an \textit{a posteriori} error analysis for a numerical estimate of the time at which a functional of the solution to a partial differential equation (PDE) first achieve…

math.NA2021

A posteriori error analysis for a space-time parallel discretization of parabolic partial differential equations

Jehanzeb Chaudhry, Donald Estep, Simon Tavener

We construct a space-time parallel method for solving parabolic partial differential equations by coupling the Parareal algorithm in time with overlapping domain decomposition in s…

math.NA2020

Error estimation and uncertainty quantification for first time to a threshold value

Jehanzeb H. Chaudhry, Donald Estep, Zachary Stevens +1

Classical a posteriori error analysis for differential equations quantifies the error in a Quantity of Interest (QoI) which is represented as a bounded linear functional of the sol…