2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 A simple model for assessing climate control trade-offs and responding to unanticipated climate outcomes A simple model for assessing climate control trade-offs and responding to unanticipated climate outcomes A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia Accelerating simulation of stiff nonlinear systems using continuous-time echo state networks Accelerating Simulation of Stiff Nonlinear Systems using Continuous - Time Echo State Networks Bayesian Neural Ordinary Differential Equations Circuitscape in julia: Empowering dynamic approaches to connectivity assessment Circuitscape in Julia : Empowering Dynamic Approaches to Connectivity Assessment Collocation based training of neural ordinary differential equations Collocation based training of neural ordinary differential equations Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components Composing Modeling and Simulation with Machine Learning in Julia Data- Efficient Training with Physics - Enhanced Deep Surrogates Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas Generalized physics-informed learning through language-wide differentiable programming High-performance symbolic-numerics via multiple dispatch High-performance symbolic-numerics via multiple dispatch Hybrid Mechanistic + Neural Model of Laboratory Helicopter Hybrid Mechanistic + Neural Model of Laboratory Helicopter Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA Implications of Delayed Reopening in Controlling the COVID -19 Surge in Southern and West - Central USA Neural Network Surrogates and Symbolic Regression for System Estimation Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Opening the Blackbox : Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics Safe Blues : The case for virtual safe virus spread in the long-term fight against epidemics Stiff neural ordinary differential equations Stiff neural ordinary differential equations The densities and distributions of the largest eigenvalue and the trace of a Beta-Wishart matrix The densities and distributions of the largest eigenvalue and the trace of a Beta – Wishart matrix The gsvd: where are the ellipses? , matrix trigonometry , and more NeuralPDE : Automating Physics - Informed Neural Networks ( PINNs ) with Error Approximations
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