Showing 21–40 of 42 results
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Jun 14, 2024Differentiable Programming for Differential Equations: A ReviewJan 28, 2022Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to InfinityNov 3, 2020AutoMat: Accelerated Computational Electrochemical systems DiscoverySep 21, 2021Julia for BiologistsApr 6, 2023Performance Bounds for Quantum Feedback ControlSep 2, 2025The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)Sep 25, 2021AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in JuliaDec 26, 2021Automated Code Optimization with E-GraphsJul 17, 2019A Differentiable Programming System to Bridge Machine Learning and Scientific ComputingOct 16, 2022Automatic Differentiation of Programs with Discrete RandomnessMar 31, 2023A Practitioner's Guide to Bayesian Inference in Pharmacometrics using PumasMar 3, 2023Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!Mar 9, 2021ModelingToolkit: A Composable Graph Transformation System For Equation-Based ModelingFeb 6, 2019DiffEqFlux.jl - A Julia Library for Neural Differential EquationsMar 22, 2023Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachJul 19, 2021NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error ApproximationsAug 20, 2020The Koopman Expectation: An Operator Theoretic Method for Efficient Analysis and Optimization of Uncertain Hybrid Dynamical SystemsFeb 3, 2025C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineeringJun 4, 2025Physics-Constrained Flow Matching: Sampling Generative Models with Hard ConstraintsJul 23, 2020Signal Enhancement for Magnetic Navigation Challenge Problem