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Neural Hybrid Differential Equations and Adjoint Sensitivity Analysis

frankschae.github.io · published 13 August 2021

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https://summerofcode.withgoogle.com/projects/
summerofcode.withgoogle.com
Neural Hybrid Differential Equations Read at the source ↗
frankschae.github.io
Shadowing Methods for Forward and Adjoint Sensitivity Analysis of Chaotic Systems Read at the source ↗
frankschae.github.io
Sensitivity Analysis of Hybrid Differential Equations Read at the source ↗
frankschae.github.io
AbstractDifferentiation.jl for AD-backend agnostic code Read at the source ↗
frankschae.github.io
https://diffeq.sciml.ai/latest/analysis/sensitivity/
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https://github.com/SciML/DiffEqSensitivity.jl/pull/415
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https://github.com/SciML/DiffEqSensitivity.jl/pull/417
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https://github.com/SciML/DiffEqSensitivity.jl/pull/418
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https://github.com/SciML/DiffEqSensitivity.jl/pull/419
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https://github.com/SciML/DiffEqSensitivity.jl/pull/420
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https://github.com/SciML/DiffEqSensitivity.jl/pull/422
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https://github.com/SciML/DiffEqSensitivity.jl/pull/475
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https://github.com/SciML/DiffEqSensitivity.jl/pull/476
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https://arxiv.org/abs/1801.08674
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