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Rackauckas, Christopher

  1. Universal Differential Equations for Scientific Machine Learning
    2020/01/13 by Christopher Rackauckas, Rackauckas, Christopher, Yingbo Ma +17 · 4 voices · 47 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Gene Regulatory Network Analysis #Mathematical Biology Tumor Growth #Model Reduction and Neural Networks #cs.LG #math.DS #q-bio.QM #stat.ML
  2. Capturing missing physics in climate model parameterizations using neural differential equations
    2020/10/23 by Ramadhan, Ali, Marshall, John, Souza, Andre +8 · 4 citations
    #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
  3. Differentiable Programming for Differential Equations: A Review
    2024/06/14 by Facundo Sapienza, Jordi Bolíbar, Sapienza, Facundo +19 · 7 citations
    Computer Science · Mathematics · Engineering · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Optimization and Mathematical Programming
  4. Plots.jl -- a user extendable plotting API for the julia programming language
    2022/04/19 by Christ, Simon, Schwabeneder, Daniel, Rackauckas, Christopher +2 · 4 citations
    #FOS: Computer and information sciences #Graphics (cs.GR) #I.3.3
  5. High-performance symbolic-numerics via multiple dispatch
    2021/05/09 by Gowda, Shashi, Ma, Yingbo, Cheli, Alessandro +4 · 3 citations
    #Computation and Language (cs.CL) #D.3.3 #FOS: Computer and information sciences #I.1.1 #I.1.3 #Mathematical Software (cs.MS) #Programming Languages (cs.PL) #Symbolic Computation (cs.SC)
  6. A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions
    2018/12/05 by Yingbo Ma, Vaibhav Dixit, Ma, Yingbo +7 · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Mathematics #Machine Learning and ELM #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  7. A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances
    2024/12/18 by Shreyas Ekanathan, Oscar Smith, Ekanathan, Shreyas +3 · 2 voices · 1 citation
    Mathematics · Computer Science · #Numerical methods for differential equations #Matrix Theory and Algorithms #Differential Equations and Numerical Methods
  8. AutoMat: Accelerated Computational Electrochemical systems Discovery
    2020/11/03 by Annevelink, Emil, Kurchin, Rachel, Muckley, Eric +17 · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  9. Julia for Biologists
    2021/09/21 by Elisabeth Roesch, Roesch, Elisabeth, Joe G. Greener +11 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Quantitative Methods (q-bio.QM) #q-bio.QM
  10. Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
    2022/07/17 by Utkarsh, Elrod, Chris, Ma, Yingbo +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Software (cs.MS) #Numerical Analysis (math.NA)
  11. Scalable higher-order nonlinear solvers via higher-order automatic differentiation
    2025/01/28 by Songchen Tan, Keming Miao, Tan, Songchen +5 · 1 voice · 1 citation
    Engineering · Mathematics · #Control Systems and Identification #Advanced Optimization Algorithms Research #Advanced Adaptive Filtering Techniques