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Chris Rackauckas

A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas

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Mar 31, 2023
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach

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Mar 30, 2023
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Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!

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Mar 10, 2023
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Differentiable modeling to unify machine learning and physical models and advance Geosciences

Jan 10, 2023
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Automatic Differentiation of Programs with Discrete Randomness

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Oct 18, 2022
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ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models

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Apr 08, 2022
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Physics-enhanced deep surrogates for PDEs

Nov 10, 2021
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AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

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Sep 25, 2021
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Bayesian Neural Ordinary Differential Equations

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Dec 20, 2020
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Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks

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Oct 19, 2020
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