Christopher Rackauckas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Differential Equations

Top Venues

AAAI Spring Symposium: MLPS

Publications

Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas
Differentiable Programming for Differential Equations: A Review. CoRR (2024)
Shahriar Iravanian, Shashi Gowda, Christopher Rackauckas
Hybrid Symbolic-Numeric and Numerically-Assisted Symbolic Integration. ISSAC (2024)
Paul F. Lang, Anand Jain, Christopher Rackauckas
SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem. J. Integr. Bioinform. 21 (1) (2024)
Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman
Performance Bounds for Quantum Control. CoRR (2023)
Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman
Sum-of-Squares Bounds for Quantum Optimal Control. QCE (2023)
Utkarsh Rajput, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms. CoRR (2023)
Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan
Extending JumpProcess.jl for fast point process simulation with time-varying intensities. CoRR (2023)
Flemming Holtorf, Christopher Rackauckas
Stochastic Optimal Control via Local Occupation Measures. CoRR (2022)
Avik Pal, Alan Edelman, Christopher Rackauckas
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs). CoRR (2022)
Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas
Automatic Differentiation of Programs with Discrete Randomness. NeurIPS (2022)
Utkarsh Rajput, Chris Elrod, Yingbo Ma, Christopher Rackauckas
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. CoRR (2022)
Utkarsh Rajput, Chris Elrod, Yingbo Ma, Konstantin Althaus, Christopher Rackauckas
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. HPEC (2022)
Vaibhav Dixit, Christopher Rackauckas
GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia. J. Open Source Softw. 7 (77) (2022)
Simon Christ, Daniel Schwabeneder, Christopher Rackauckas
Plots.jl - a user extendable plotting API for the julia programming language. CoRR (2022)
Frank Schäfer, Mohamed Tarek, Lyndon White, Christopher Rackauckas
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia. CoRR (2021)
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózzdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
High-performance symbolic-numerics via multiple dispatch. ACM Commun. Comput. Algebra 55 (3) (2021)
Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. CoRR (2021)
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. AAAI Spring Symposium: MLPS (2021)
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. CoRR (2021)
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
High-performance symbolic-numerics via multiple dispatch. CoRR (2021)
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
Composing Modeling and Simulation with Machine Learning in Julia. CoRR (2021)
Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics. Patterns 2 (3) (2021)
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
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. CoRR (2021)
Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. HPEC (2021)
Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas
Stiff Neural Ordinary Differential Equations. CoRR (2021)
Alessandro Cheli, Christopher Rackauckas
Automated Code Optimization with E-Graphs. CoRR (2021)
Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas
Signal Enhancement for Magnetic Navigation Challenge Problem. CoRR (2020)
Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas
Bayesian Neural Ordinary Differential Equations. CoRR (2020)
Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Jasim Ramadhan
Universal Differential Equations for Scientific Machine Learning. CoRR (2020)
Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt
Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. AAAI Spring Symposium: MLPS (2020)
Raj Dandekar, Christopher Rackauckas, George Barbastathis
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. Patterns 1 (9) (2020)
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. CoRR (2020)
Christopher Rackauckas, Qing Nie
Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations. HPEC (2020)
Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. CoRR (2019)
Christopher Rackauckas, Qing Nie
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking. Adv. Eng. Softw. 132 (2019)
Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. CoRR (2019)
Christopher Rackauckas, Qing Nie
Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking. CoRR (2018)
Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. CoRR (2018)