Chris Rackauckas

25 papers C 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. ACM Trans. Math. Softw. Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Utkarsh, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas
2026	J	`jnl`	Robust parameter estimation for rational ordinary differential equations. Appl. Math. Comput. Oren Bassik, Yosef Berman, Soo Go, Hoon Hong, Ilia Ilmer, Alexey Ovchinnikov, Chris Rackauckas, Pedro Soto, Chee Yap
2026	J	`jnl`	Scientific Machine Learning-assisted Model Discovery from Telemetry Data. CoRR Sebastian Micluta-Campeanu, Avinash Subramanian, Anas Abdelrehim, Ranjan Anantharaman, Rohit Dhumane, Brad Carman, Chris Rackauckas
2025	J	`jnl`	Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim. CoRR Anas Abdelrehim, Dhairya Gandhi, Sharan Yalburgi, Ashutosh Bharambe, Ranjan Anantharaman, Chris Rackauckas
2025	J	`jnl`	C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineering. CoRR Fredrik Bagge Carlson, Cody Tapscott, Gabriel Baraldi, Chris Rackauckas
2025	J	`jnl`	Correction: Catalyst: Fast and flexible modeling of reaction networks. PLoS Comput. Biol. Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson
2024	J	`jnl`	NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. CoRR Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Rajput, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas
2023	J	`jnl`	A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas. CoRR Mohamed Tarek, Jose Storopoli, Casey B. Davis, Chris Elrod, Julius Krumbiegel, Chris Rackauckas, Vijay Ivaturi
2023	J	`jnl`	Catalyst: Fast and flexible modeling of reaction networks. PLoS Comput. Biol. Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson
2023	—	`conf`	Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity. HPEC Avik Pal, Alan Edelman, Chris Rackauckas
2023	J	`jnl`	Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn P. Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson
2023	J	`jnl`	Differentiating Metropolis-Hastings to Optimize Intractable Densities. CoRR Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer
2023	J	`jnl`	Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. CoRR Vinícius V. Santana, Erbet Almeida Costa, Carine M. Rebello, Ana M. Ribeiro, Chris Rackauckas, Idelfonso B. R. Nogueira
2023	J	`jnl`	Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! CoRR Avik Pal, Alan Edelman, Chris Rackauckas
2023	J	`jnl`	Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
2022	J	`jnl`	Automatic Differentiation of Programs with Discrete Randomness. CoRR Gaurav Arya, Moritz Schauer, Frank Schäfer, Chris Rackauckas
2022	—	`conf`	Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM 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
2022	C	`conf`	Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas
2022	J	`jnl`	DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers. CoRR David Widmann, Chris Rackauckas
2022	J	`jnl`	Differential methods for assessing sensitivity in biological models. PLoS Comput. Biol. Rachel Mester, Alfonso Landeros, Chris Rackauckas, Kenneth Lange
2022	J	`jnl`	ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. CoRR Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2022	J	`jnl`	ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. J. Mach. Learn. Res. Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2022	J	`jnl`	Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression. CoRR Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas
2022	J	`jnl`	Symbolic-numeric integration of univariate expressions based on sparse regression. ACM Commun. Comput. Algebra Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas
2021	J	`jnl`	Physics-enhanced deep surrogates for PDEs. CoRR Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson