BlackBIRDS: Black-Box Inference foR Differentiable Simulators

BlackBIRDS: Black-Box Inference foR Differentiable Simulators

BlackBIRDS is a Python package consisting of generically applicable, black-box inference methods for differentiable simulation models. It facilitates both (a) the differentiable implementation of simulation models by providing a common object-oriented framework for their implementation in PyTorch (P...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Quera-Bofarull, A, Dyer, J, Calinescu, A, Farmer, JD, Wooldridge, M
स्वरूप:	Journal article
भाषा:	English
प्रकाशित:	Open Journal 2023

समान संसाधन

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Don’t simulate twice: one-shot sensitivity analyses via automatic differentiation
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Black-box cryptography is dangerous III
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Black-box model risk in finance
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Determining The Black-Box Component's Failure.
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IoT based black box for vehicles
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Black-Box for Blockchain Parameters Adjustment
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Let's open agriculture's black box
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AI’s black box and the supremacy of standards
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Afterword – The Black Box of Eritrean Futurity
द्वारा: Sabine Mohamed
प्रकाशित: (2022-08-01)

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प्रकाशित: (2022-08-01)

Afterword – The Black Box of Eritrean Futurity
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Private agent-based modeling
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Interpretable explanations of black boxes by meaningful perturbation
द्वारा: Fong, RC, और अन्य
प्रकाशित: (2017)

On Non-Black-Box Simulation and the Impossibility of Approximate Obfuscation
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प्रकाशित: (2016)

Bird box /
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Support vector regression for black-box system identification
द्वारा: Gretton, A, और अन्य
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