Showing 1–20 of 42 results
/ Date/ Name
Jan 13, 2020Universal Differential Equations for Scientific Machine LearningJul 17, 2022Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential EquationsApr 19, 2022Plots.jl -- a user extendable plotting API for the julia programming languageDec 18, 2024A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low TolerancesDec 5, 2018A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation SolutionsApr 12, 2018Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential EquationsJul 17, 2018Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and BenchmarkingApr 13, 2023Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU PlatformsJan 28, 2025Scalable higher-order nonlinear solvers via higher-order automatic differentiationSep 24, 2025Efficient Symbolic Computation via Hash ConsingMay 9, 2021Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver HeuristicsOct 23, 2020Capturing missing physics in climate model parameterizations using neural differential equationsOct 22, 2021Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flowJun 12, 2023Extending JumpProcess.jl for fast point process simulation with time-varying intensitiesMay 26, 2025Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic ConstraintsJun 13, 2023Differentiating Metropolis-Hastings to Optimize Intractable DensitiesFeb 3, 2026Efficient Explicit Taylor ODE Integrators with Symbolic-Numeric ComputingMar 29, 2021Stiff Neural Ordinary Differential EquationsMay 9, 2021High-performance symbolic-numerics via multiple dispatchNov 28, 2022Stochastic Optimal Control via Local Occupation Measures