Christopher Rackauckas

46 papers A* 1B 1Misc 1Journal 37Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Explicit Taylor ODE Integrators with Symbolic-Numeric Computing.
CoRR
Songchen Tan, Oscar Smith, Christopher Rackauckas
2025 — conf
A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances.
HPEC
Shreyas Ekanathan, Oscar Smith, Christopher Rackauckas
2025 J jnl
Efficient Symbolic Computation via Hash Consing.
CoRR
Bowen Zhu, Aayush Sabharwal, Songchen Tan, Yingbo Ma, Alan Edelman, Christopher Rackauckas
2025 J jnl
Scalable higher-order nonlinear solvers via higher-order automatic differentiation.
CoRR
Songchen Tan, Keming Miao, Alan Edelman, Christopher Rackauckas
2025 J jnl
Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints.
CoRR
Avik Pal, Alan Edelman, Christopher Rackauckas
2025 J jnl
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS).
CoRR
Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2024 J jnl
A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances.
CoRR
Shreyas Ekanathan, Oscar Smith, Christopher Rackauckas
2024 J jnl
DataInterpolations.jl: Fast Interpolations of 1D data.
J. Open Source Softw.
Sathvik Bhagavan, Bart de Koning, Shubham Maddhashiya, Christopher Rackauckas
2024 J jnl
Differentiable Programming for Differential Equations: A Review.
CoRR
Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas
2024 B conf
Hybrid Symbolic-Numeric and Numerically-Assisted Symbolic Integration.
ISSAC
Shahriar Iravanian, Shashi Gowda, Christopher Rackauckas
2024 J jnl
SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem.
J. Integr. Bioinform.
Paul F. Lang, Anand Jain, Christopher Rackauckas
2023 J jnl
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms.
CoRR
Utkarsh Rajput, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas
2023 J jnl
Extending JumpProcess.jl for fast point process simulation with time-varying intensities.
CoRR
Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan
2023 J jnl
Performance Bounds for Quantum Control.
CoRR
Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman
2023 Misc conf
Sum-of-Squares Bounds for Quantum Optimal Control.
QCE
Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman
2022 A* conf
Automatic Differentiation of Programs with Discrete Randomness.
NeurIPS
Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas
2022 J jnl
GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia.
J. Open Source Softw.
Vaibhav Dixit, Christopher Rackauckas
2022 J jnl
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs).
CoRR
Avik Pal, Alan Edelman, Christopher Rackauckas
2022 — conf
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations.
HPEC
Utkarsh Rajput, Chris Elrod, Yingbo Ma, Konstantin Althaus, Christopher Rackauckas
2022 J jnl
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations.
CoRR
Utkarsh Rajput, Chris Elrod, Yingbo Ma, Christopher Rackauckas
2022 J jnl
Plots.jl - a user extendable plotting API for the julia programming language.
CoRR
Simon Christ, Daniel Schwabeneder, Christopher Rackauckas
2022 J jnl
Stochastic Optimal Control via Local Occupation Measures.
CoRR
Flemming Holtorf, Christopher Rackauckas
2021 — conf
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.
HPEC
Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas
2021 J jnl
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia.
CoRR
Frank Schäfer, Mohamed Tarek, Lyndon White, Christopher Rackauckas
2021 — conf
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.
AAAI Spring Symposium: MLPS
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
2021 J jnl
Automated Code Optimization with E-Graphs.
CoRR
Alessandro Cheli, Christopher Rackauckas
2021 J jnl
Composing Modeling and Simulation with Machine Learning in Julia.
CoRR
Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah
2021 J jnl
High-performance symbolic-numerics via multiple dispatch.
ACM Commun. Comput. Algebra
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
2021 J jnl
High-performance symbolic-numerics via multiple dispatch.
CoRR
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
2021 J jnl
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling.
CoRR
Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas
2021 J jnl
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations.
CoRR
Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Christopher Rackauckas
2021 J jnl
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.
CoRR
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas
2021 J jnl
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics.
Patterns
Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Babu Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen
2021 J jnl
Stiff Neural Ordinary Differential Equations.
CoRR
Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas
2020 J jnl
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread.
Patterns
Raj Dandekar, Christopher Rackauckas, George Barbastathis
2020 J jnl
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.
CoRR
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
2020 J jnl
Bayesian Neural Ordinary Differential Equations.
CoRR
Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas
2020 — conf
Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.
AAAI Spring Symposium: MLPS
Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt
2020 J jnl
Signal Enhancement for Magnetic Navigation Challenge Problem.
CoRR
Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas
2020 — conf
Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations.
HPEC
Christopher Rackauckas, Qing Nie
2020 J jnl
Universal Differential Equations for Scientific Machine Learning.
CoRR
Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Jasim Ramadhan
2019 J jnl
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing.
CoRR
Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt
2019 J jnl
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking.
Adv. Eng. Softw.
Christopher Rackauckas, Qing Nie
2019 J jnl
DiffEqFlux.jl - A Julia Library for Neural Differential Equations.
CoRR
Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit
2018 J jnl
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.
CoRR
Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas
2018 J jnl
Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking.
CoRR
Christopher Rackauckas, Qing Nie