Andre Guntoro

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Akash Kumar 0001

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Publications

2022
[j4]
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Cecilia De la Parra, Taha Soliman, Andre Guntoro, Akash Kumar, Norbert Wehn:
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. IEEE Micro 42(6): 17-24 (2022)
2021
[c35]
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  - conf/aspdac/ParraG021
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Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. ASP-DAC 2021: 365-371
[c34]
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Cecilia De la Parra, Xuyi Wu, Andre Guntoro, Akash Kumar:
Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. DATE 2021: 679-684
[c33]
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Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro:
Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. ISCAS 2021: 1-5
2020
[j2]
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Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Improving approximate neural networks for perception tasks through specialized optimization. Future Gener. Comput. Syst. 113: 597-606 (2020)
[c31]
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Cecilia De la Parra, Andre Guntoro, Akash Kumar:
ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. DATE 2020: 1193-1198
[c28]
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  - conf/iscas/ParraG020
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Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Full Approximation of Deep Neural Networks through Efficient Optimization. ISCAS 2020: 1-5

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