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Nikhil Ghanathe

Nikhil Pratap Ghanathe

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2020 – today

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2024
[i3]
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  - journals/corr/abs-2404-12599
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Nikhil Pratap Ghanathe, Steve Wilton:
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles. CoRR abs/2404.12599 (2024)
2023
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  - conf/cf/GhanatheW23
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Nikhil Pratap Ghanathe, Steve Wilton:
T-RecX: Tiny-Resource Efficient Convolutional neural networks with early-eXit. CF 2023: 123-133
2022
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  - journals/corr/abs-2207-06613
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Nikhil Pratap Ghanathe, Steve Wilton:
T-RECX: Tiny-Resource Efficient Convolutional Neural Networks with Early-Exit. CoRR abs/2207.06613 (2022)
2021
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  - conf/fpl/GhanatheSSWK21
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Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. FPL 2021: 347-354
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  - journals/corr/abs-2107-03653
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Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. CoRR abs/2107.03653 (2021)

2010 – 2019

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2019
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Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma:
Compiling KB-sized machine learning models to tiny IoT devices. PLDI 2019: 79-95

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