Christopher Vincent Rackauckas
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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
Universal differential equations for scientific machine learning
C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ...
arXiv preprint arXiv:2001.04385, 2020
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), 100145, 2020
Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.
C Rackauckas, A Edelman, K Fischer, M Innes, E Saba, VB Shah, ...
AAAI Spring Symposium: MLPS, 2020
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
A comparison of automatic differentiation and continuous sensitivity analysis for derivatives of differential equation solutions
C Rackauckas, Y Ma, V Dixit, X Guo, M Innes, J Revels, J Nyberg, ...
arXiv preprint arXiv:1812.01892, 2018
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
A comparison between differential equation solver suites in MATLAB, R, Julia, Python, C, Mathematica, Maple, and Fortran
C Rackauckas
The Winnower 5 (e153459), 55, 2017
On the Budyko-Sellers energy balance climate model with ice line coupling
J Walsh, C Rackauckas
Discrete & Continuous Dynamical Systems-B 20 (7), 2187, 2015
Mean-independent noise control of cell fates via intermediate states
C Rackauckas, T Schilling, Q Nie
Iscience 3, 11-20, 2018
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics
R Dandekar, SG Henderson, HM Jansen, J McDonald, S Moka, ...
Patterns 2 (3), 100220, 2021
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
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking
C Rackauckas, Q Nie
Advances in Engineering Software 132, 1-6, 2019
Accelerated predictive healthcare analytics with Pumas, a high performance pharmaceutical modeling and simulation platform
C Rackauckas, Y Ma, A Noack, V Dixit, PK Mogensen, S Byrne, ...
Capturing missing physics in climate model parameterizations using neural differential equations
A Ramadhan, J Marshall, A Souza, GLC Wagner, M Ponnapati, ...
NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning, 2020
Stiff neural ordinary differential equations
S Kim, W Ji, S Deng, C Rackauckas
arXiv preprint arXiv:2103.15341, 2021
Bayesian neural ordinary differential equations
R Dandekar, K Chung, V Dixit, M Tarek, A Garcia-Valadez, KV Vemula, ...
LAFI 2021 - POPL 2021, 2020
The Koopman Expectation: An Operator Theoretic Method for Efficient Analysis and Optimization of Uncertain Hybrid Dynamical Systems
AR Gerlach, A Leonard, J Rogers, C Rackauckas
arXiv preprint arXiv:2008.08737, 2020
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
R Anantharaman, Y Ma, S Gowda, C Laughman, V Shah, A Edelman, ...
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial …, 2021
Beyond Deterministic Models in Drug Discovery and Development
I Irurzun-Arana, C Rackauckas, TO McDonald, IF Trocóniz
Trends in Pharmacological Sciences, 2020
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