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Arindam Mallik

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 Nathan Laubeuf

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Publications

2023
[j8]
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  dblp key:
  - journals/access/DadrasSLBM23
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  persistent URL:
  - https://dblp.org/rec/journals/access/DadrasSLBM23
Iman Dadras, Giuseppe Maria Sarda, Nathan Laubeuf, Debjyoti Bhattacharjee, Arindam Mallik:
AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference. IEEE Access 11: 87189-87199 (2023)
2022
[j5]
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  dblp key:
  - journals/todaes/LaubeufDPCCVBMD22
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  persistent URL:
  - https://dblp.org/rec/journals/todaes/LaubeufDPCCVBMD22
Nathan Laubeuf, Jonas Doevenspeck, Ioannis A. Papistas, Michele Caselli, Stefan Cosemans, Peter Vrancx, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Francky Catthoor, Rudy Lauwereins:
Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration. ACM Trans. Design Autom. Electr. Syst. 27(5): 46:1-46:21 (2022)
2021
[c26]
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  dblp key:
  - conf/ijcnn/DoevenspeckVLMD21
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  - https://dblp.org/rec/conf/ijcnn/DoevenspeckVLMD21
Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene:
Noise tolerant ternary weight deep neural networks for analog in-memory inference. IJCNN 2021: 1-8
[c25]
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  dblp key:
  - conf/iscas/BhattacharjeeLC21
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  - https://dblp.org/rec/conf/iscas/BhattacharjeeLC21
Debjyoti Bhattacharjee, Nathan Laubeuf, Stefan Cosemans, Ioannis A. Papistas, Arindam Mallik, Peter Debacker, Myung Hee Na, Diederik Verkest:
Design-Technology Space Exploration for Energy Efficient AiMC-Based Inference Acceleration. ISCAS 2021: 1-5
2019
[i1]
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  dblp key:
  - journals/corr/abs-1912-09356
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  - https://dblp.org/rec/journals/corr/abs-1912-09356
Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans, Peter Debacker, Ioannis A. Papistas, Arindam Mallik, Diederik Verkest:
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference. CoRR abs/1912.09356 (2019)

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