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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
13202017
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
723*2020
Generalized physics-informed learning through language-wide differentiable programming
C Rackauckas, A Edelman, K Fischer, M Innes, E Saba, VB Shah, ...
2020 AAAI Spring Symposium on Machine Learning for Physical Sciences (MLPS), 2021
229*2021
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
224*2020
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
1452021
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
1202021
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
842017
Modelingtoolkit: A composable graph transformation system for equation-based modeling
Y Ma, S Gowda, R Anantharaman, C Laughman, V Shah, C Rackauckas
arXiv preprint arXiv:2103.05244, 2021
832021
Neuralpde: Automating physics-informed neural networks (pinns) with error approximations
K Zubov, Z McCarthy, Y Ma, F Calisto, V Pagliarino, S Azeglio, L Bottero, ...
arXiv preprint arXiv:2107.09443, 2021
762021
Bayesian neural ordinary differential equations
R Dandekar, K Chung, V Dixit, M Tarek, A Garcia-Valadez, KV Vemula, ...
Languages for Inference (LAFI) 2021 - POPL 2021, 2020
552020
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
522022
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
462023
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, ...
44*2020
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
412016
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
372021
Beyond deterministic models in drug discovery and development
I Irurzun-Arana, C Rackauckas, TO McDonald, IF Trocóniz
Trends in pharmacological sciences 41 (11), 882-895, 2020
302020
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
30*2017
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
282022
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
272021
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
262020
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Artiklar 1–20