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Christopher Rackauckas

Identifiers

  • name variant Christopher Rackauckas 0.60 · backfill

Papers (21)

  1. Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints cs.LG · 2025 · author #3
  2. Scalable higher-order nonlinear solvers via higher-order automatic differentiation math.NA · 2025 · author #4
  3. A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances math.NA · 2024 · author #3
  4. Differentiating Metropolis-Hastings to Optimize Intractable Densities stat.ML · 2023 · author #9
  5. Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms cs.DC · 2023 · author #11
  6. Performance Bounds for Quantum Feedback Control quant-ph · 2023 · author #4
  7. Stochastic Optimal Control via Local Occupation Measures math.OC · 2022 · author #3
  8. Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations math.NA · 2022 · author #4
  9. Plots.jl -- a user extendable plotting API for the julia programming language cs.GR · 2022 · author #3
  10. Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity cs.LG · 2022 · author #3
  11. Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow physics.flu-dyn · 2021 · author #6
  12. Julia for Biologists q-bio.QM · 2021 · author #5
  13. High-performance symbolic-numerics via multiple dispatch cs.CL · 2021 · author #7
  14. Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics cs.LG · 2021 · author #4
  15. Stiff Neural Ordinary Differential Equations math.NA · 2021 · author #5
  16. AutoMat: Accelerated Computational Electrochemical systems Discovery cond-mat.mtrl-sci · 2020 · author #17
  17. Capturing missing physics in climate model parameterizations using neural differential equations physics.ao-ph · 2020 · author #8
  18. Universal Differential Equations for Scientific Machine Learning cs.LG · 2020 · author #1
  19. A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions math.NA · 2018 · author #5
  20. Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking cs.SE · 2018 · author #1
  21. Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations math.NA · 2018 · author #1

Mentions

  • 2505.20515 #3 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2412.14362 #3 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2501.16895 #4 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2211.15652 #3 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2304.03366 #4 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2110.11528 #6 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2304.06835 #11 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2306.07961 #9 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2010.12559 #8 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2201.12240 #3 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2207.08135 #4 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2204.08775 #3 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2011.04426 #17 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2105.03949 #7 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2105.03918 #4 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2103.15341 #5 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2109.09973 #5 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 1807.06430 #1 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 1812.01892 #5 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 1804.04344 #1 · arxiv_oai · confidence 0.70 Christopher Rackauckas
  • 2001.04385 #1 · arxiv_oai · confidence 0.70 Christopher Rackauckas

Frequent Coauthors