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Goloubentsev, Dmitri
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Adjoint Differentiation for generic matrix functions:

Goloubentsev, Andrei ; Goloubentsev, Dmitri ; Lakshtanov, Evgeny
http://arxiv.org/abs/2109.04913.  , 2021
Link: http://arxiv.org/abs/210..
 
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Automatic adjoint differentiation for gradient descent and ..:

Goloubentsev, Dmitri ; Lakshtanov, Evgeny
UID/MAT/0416/2019.  , 2020
Link: http://hdl.handle.net/10..
 
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3

AAD: breaking the primal barrier:

Goloubentsev, Dmitri ; Lakshtanov, Evgeny
UID/MAT/0416/2019.  , 2020
Link: http://hdl.handle.net/10..
 
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A new approach to parallel computing using automatic differ..:

Goloubentsev, Dmitri ; Lakshtanov, Evgeny
https://www.intel.com/content/www/us/en/developer/articles/news/parallel-universe-magazine-issue-40-april-2020.html.  , 2020
Link: http://hdl.handle.net/10..
 
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5

Remarks on stochastic automatic adjoint differentiation and..:

Goloubentsev, Dmitri ; Lakshtanov, Evgeny
http://arxiv.org/abs/1901.04200.  , 2019
Link: http://arxiv.org/abs/190..
 
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