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Bakhrom G. Oripov

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2020 – today

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2023
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  - journals/corr/abs-2303-03986
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  - https://dblp.org/rec/journals/corr/abs-2303-03986
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley:
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation. CoRR abs/2303.03986 (2023)
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  - journals/corr/abs-2306-10244
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Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov, Adam N. McCaughan, Ahmedullah Aziz:
Superconducting Heater Cryotron-Based Reconfigurable Logic Towards Cryogenic IC Camouflaging. CoRR abs/2306.10244 (2023)
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  - journals/corr/abs-2311-05820
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Jack Hutchins, Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov, Adam N. McCaughan, Ahmedullah Aziz:
Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks. CoRR abs/2311.05820 (2023)

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