Artículos con órdenes de acceso público - Christopher Vincent RackauckasMás información
Disponibles en algún lugar: 54
DifferentialEquations.jl – a performant and feature-rich ecosystem for solving differential equations in Julia
C Rackauckas, Q Nie
Journal of Open Research Software 5 (1), 2017
Órdenes: US National Science Foundation, Ford Foundation, US National Institutes of …
A machine learning-aided global diagnostic and comparative tool to assess effect of quarantine control in COVID-19 spread
R Dandekar, C Rackauckas, G Barbastathis
Patterns 1 (9), 2020
Órdenes: US Office of the Director of National Intelligence
Stiff neural ordinary differential equations
S Kim, W Ji, S Deng, Y Ma, C Rackauckas
Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (9), 2021
Órdenes: US Department of Energy
A comparison of automatic differentiation and continuous sensitivity analysis for derivatives of differential equation solutions
Y Ma, V Dixit, MJ Innes, X Guo, C Rackauckas
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2021
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Differentiable modelling to unify machine learning and physical models for geosciences
C Shen, AP Appling, P Gentine, T Bandai, H Gupta, A Tartakovsky, ...
Nature Reviews Earth & Environment 4 (8), 552-567, 2023
Órdenes: US National Science Foundation, US Department of Energy, European Commission
Adaptive methods for stochastic differential equations via natural embeddings and rejection sampling with memory
C Rackauckas, Q Nie
Discrete and continuous dynamical systems. Series B 22 (7), 2731, 2017
Órdenes: US National Science Foundation, Ford Foundation, US National Institutes of …
High-performance symbolic-numerics via multiple dispatch
S Gowda, Y Ma, A Cheli, M Gwóźzdź, VB Shah, A Edelman, ...
ACM Communications in Computer Algebra 55 (3), 92-96, 2022
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Plots.jl--a user extendable plotting API for the julia programming language
S Christ, D Schwabeneder, C Rackauckas
arXiv preprint arXiv:2204.08775, 2022
Órdenes: Carlsberg Foundation DK
Julia for biologists
E Roesch, JG Greener, AL MacLean, H Nassar, C Rackauckas, TE Holy, ...
Nature methods 20 (5), 655-664, 2023
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Automatic differentiation of programs with discrete randomness
G Arya, M Schauer, F Schäfer, C Rackauckas
Advances in Neural Information Processing Systems 35, 10435-10447, 2022
Órdenes: US National Science Foundation, US Department of Energy, Swiss National …
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
A Pal, Y Ma, V Shah, C Rackauckas
The Thirty-eighth International Conference on Machine Learning (ICML), 2021
Órdenes: US Department of Energy
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking
C Rackauckas, Q Nie
Advances in Engineering Software 132, 1-6, 2019
Órdenes: US National Science Foundation
Noise modulation in retinoic acid signaling sharpens segmental boundaries of gene expression in the embryonic zebrafish hindbrain
J Sosnik, L Zheng, CV Rackauckas, M Digman, E Gratton, Q Nie, ...
Elife 5, e14034, 2016
Órdenes: US National Institutes of Health
Stability-optimized high order methods and stiffness detection for pathwise stiff stochastic differential equations
C Rackauckas, Q Nie
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020
Órdenes: US National Science Foundation
Two heads are better than one: current landscape of integrating QSP and machine learning: an ISoP QSP SIG white paper by the working group on the integration of quantitative …
T Zhang, IP Androulakis, P Bonate, L Cheng, T Helikar, J Parikh, ...
Journal of Pharmacokinetics and Pharmacodynamics 49 (1), 5-18, 2022
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Catalyst: Fast and flexible modeling of reaction networks
TE Loman, Y Ma, V Ilin, S Gowda, N Korsbo, N Yewale, C Rackauckas, ...
PLOS Computational Biology 19 (10), e1011530, 2023
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia
V Dixit, C Rackauckas
Journal of Open Source Software 7 (76), 2022
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Composing Modeling and Simulation with Machine Learning in Julia
C Rackauckas, R Anantharaman, A Edelman, S Gowda, M Gwozdz, ...
Proceedings of 14th Modelica Conference 2021, 2021
Órdenes: US National Science Foundation, US Department of Energy
Collocation based training of neural ordinary differential equations
E Roesch, C Rackauckas, MPH Stumpf
Statistical applications in genetics and molecular biology 20 (2), 37-49, 2021
Órdenes: US National Science Foundation, US Department of Energy
A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: Demonstration with photosynthesis simulations
D Aboelyazeed, C Xu, FM Hoffman, J Liu, AW Jones, C Rackauckas, ...
Biogeosciences 20 (13), 2671-2692, 2023
Órdenes: US Department of Energy
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