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Christopher Rackauckas
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- affiliation: Massachusetts Institute of Technology, Department of Mathematics, Cambridge, MA, USA
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2020 – today
- 2024
- [j11]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) - [c13]Shahriar Iravanian
, Shashi Gowda
Hybrid Symbolic-Numeric and Numerically-Assisted Symbolic Integration. ISSAC 2024: 410-418 - [i36]Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Rajput, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas:
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. CoRR abs/2403.16341 (2024) - [i35]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 abs/2406.09699 (2024) - 2023
- [j10]Raphaël Pestourie
Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. 5(12): 1458-1465 (2023) - [j9]Torkel E. Loman
Catalyst: Fast and flexible modeling of reaction networks. PLoS Comput. Biol. 19(10) (2023) - [c12]Avik Pal, Alan Edelman, Chris Rackauckas:
Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity. HPEC 2023: 1-9 - [c11]Avik Pal, Alan Edelman, Christopher Vincent Rackauckas:
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023: 26809-26819 - [c10]Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman:
Sum-of-Squares Bounds for Quantum Optimal Control. QCE 2023: 365-366 - [i34]Chaopeng Shen
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - [i33]Avik Pal, Alan Edelman, Chris Rackauckas:
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! CoRR abs/2303.02262 (2023) - [i32]Vinícius V. Santana, Erbet Almeida Costa, Carine M. Rebello
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. CoRR abs/2303.13555 (2023) - [i31]Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman:
Performance Bounds for Quantum Control. CoRR abs/2304.03366 (2023) - [i30]Mohamed Tarek
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas. CoRR abs/2304.04752 (2023) - [i29]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 abs/2304.06835 (2023) - [i28]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 abs/2306.06992 (2023) - [i27]Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer:
Differentiating Metropolis-Hastings to Optimize Intractable Densities. CoRR abs/2306.07961 (2023) - 2022
- [j8]Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas:
Symbolic-numeric integration of univariate expressions based on sparse regression. ACM Commun. Comput. Algebra 56(2): 84-87 (2022) - [j7]Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. J. Mach. Learn. Res. 23: 288:1-288:8 (2022) - [j6]Vaibhav Dixit
GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia. J. Open Source Softw. 7(77): 4561 (2022) - [j5]Rachel Mester
Differential methods for assessing sensitivity in biological models. PLoS Comput. Biol. 18(6) (2022) - [c9]Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas:
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC 2022: 2333-2340 - [c8]Chris Rackauckas, Maja Gwózdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B. Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, Chris Laughman:
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM 2022: 1-17 - [c7]Utkarsh Rajput, Chris Elrod, Yingbo Ma, Konstantin Althaus, Christopher Rackauckas:
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. HPEC 2022: 1-9 - [c6]Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas:
Automatic Differentiation of Programs with Discrete Randomness. NeurIPS 2022 - [i26]Avik Pal, Alan Edelman, Christopher Rackauckas:
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs). CoRR abs/2201.12240 (2022) - [i25]Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas:
Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression. CoRR abs/2201.12468 (2022) - [i24]Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. CoRR abs/2204.05117 (2022) - [i23]Simon Christ, Daniel Schwabeneder
Plots.jl - a user extendable plotting API for the julia programming language. CoRR abs/2204.08775 (2022) - [i22]Utkarsh Rajput, Chris Elrod, Yingbo Ma, Christopher Rackauckas:
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. CoRR abs/2207.08135 (2022) - [i21]David Widmann, Chris Rackauckas:
DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers. CoRR abs/2208.12879 (2022) - [i20]Gaurav Arya, Moritz Schauer, Frank Schäfer, Chris Rackauckas:
Automatic Differentiation of Programs with Discrete Randomness. CoRR abs/2210.08572 (2022) - [i19]Flemming Holtorf, Christopher Rackauckas:
Stochastic Optimal Control via Local Occupation Measures. CoRR abs/2211.15652 (2022) - 2021
- [j4]Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
High-performance symbolic-numerics via multiple dispatch. ACM Commun. Comput. Algebra 55(3): 92-96 (2021) - [j3]Raj Dandekar
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics. Patterns 2(3): 100220 (2021) - [c5]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 - [c4]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: 1-9 - [c3]Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas:
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. ICML 2021: 8325-8335 - [i18]Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas:
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. CoRR abs/2103.05244 (2021) - [i17]Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas:
Stiff Neural Ordinary Differential Equations. CoRR abs/2103.15341 (2021) - [i16]Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas:
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. CoRR abs/2105.03918 (2021) - [i15]Shashi Gowda, Yingbo Ma, Alessandro Cheli
High-performance symbolic-numerics via multiple dispatch. CoRR abs/2105.03949 (2021) - [i14]Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi
Composing Modeling and Simulation with Machine Learning in Julia. CoRR abs/2105.05946 (2021) - [i13]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 abs/2107.09443 (2021) - [i12]Frank Schäfer, Mohamed Tarek, Lyndon White, Christopher Rackauckas:
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia. CoRR abs/2109.12449 (2021) - [i11]Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for PDEs. CoRR abs/2111.05841 (2021) - [i10]Alessandro Cheli, Christopher Rackauckas:
Automated Code Optimization with E-Graphs. CoRR abs/2112.14714 (2021) - 2020
- [j2]Raj Dandekar, Christopher Rackauckas
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. Patterns 1(9): 100145 (2020) - [c2]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 - [c1]Christopher Rackauckas, Qing Nie:
Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations. HPEC 2020: 1-8 - [i9]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 abs/2001.04385 (2020) - [i8]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 abs/2007.12158 (2020) - [i7]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 abs/2010.04004 (2020) - [i6]Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan:
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR abs/2011.04426 (2020) - [i5]Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas:
Bayesian Neural Ordinary Differential Equations. CoRR abs/2012.07244 (2020)
2010 – 2019
- 2019
- [j1]Christopher Rackauckas
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking. Adv. Eng. Softw. 132: 1-6 (2019) - [i4]Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit:
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. CoRR abs/1902.02376 (2019) - [i3]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 abs/1907.07587 (2019) - 2018
- [i2]Christopher Rackauckas, Qing Nie:
Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking. CoRR abs/1807.06430 (2018) - [i1]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 abs/1812.01892 (2018)
Coauthor Index
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