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12/28/2022
Reverse-Mode Automatic Differentiation of Compiled Programs
Tools for algorithmic differentiation (AD) provide accurate derivatives ...
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09/05/2022
Forward-Mode Automatic Differentiation of Compiled Programs
Algorithmic differentiation (AD) is a set of techniques that provide par...
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02/11/2022
Exploration of Differentiability in a Proton Computed Tomography Simulation Framework
Objective. Algorithmic differentiation (AD) can be a useful technique to...
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09/30/2021
Combining Sobolev Smoothing with Parameterized Shape Optimization
On the one hand Sobolev gradient smoothing can considerably improve the ...
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02/23/2021
Event-Based Automatic Differentiation of OpenMP with OpDiLib
We present the new software OpDiLib, a universal add-on for classical op...
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09/26/2020
Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation
With more efficient structures, last trends in aeronautics have witnesse...
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06/23/2020
Index handling and assign optimization for Algorithmic Differentiation reuse index managers
For operator overloading Algorithmic Differentiation tools, the identifi...
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06/08/2020
AutoMat – Automatic Differentiation for Generalized Standard Materials on GPUs
We propose a universal method for the evaluation of generalized standard...
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01/16/2020
Scalable Hyperparameter Optimization with Lazy Gaussian Processes
Most machine learning methods require careful selection of hyper-paramet...
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09/26/2019
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks
Current training methods for deep neural networks boil down to very high...
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03/12/2018
Algorithmic Differentiation for Domain Specific Languages
Algorithmic Differentiation (AD) can be used to automate the generation ...
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09/21/2017
