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ORCIDAndre Guntoro
- > Home > Persons > Andre Guntoro
Publications
- 2020
[j1]Christoph Schorn
, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid:
Automated design of error-resilient and hardware-efficient deep neural networks. Neural Comput. Appl. 32(24): 18327-18345 (2020)- 2019
- [c26]Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. DATE 2019: 296-299 - [c25]Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid:
Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. DATE 2019: 1094-1099 - [c23]Sebastian Vogel, Rajatha B. Raghunath, Andre Guntoro, Kristof Van Laerhoven, Gerd Ascheid:
Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput. DSD 2019: 663-667 - [c22]Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid:
Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. FPGA 2019: 309 - [c21]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. INTESA 2019: 18-22 - [i3]Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid:
Automated design of error-resilient and hardware-efficient deep neural networks. CoRR abs/1909.13844 (2019) - [i2]Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. CoRR abs/1910.11632 (2019) - 2018
- [c19]Sebastian Vogel, Mengyu Liang, Andre Guntoro, Walter Stechele, Gerd Ascheid:
Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base. ICCAD 2018: 9 - 2017
- [c17]Sebastian Vogel, Andre Guntoro, Gerd Ascheid:
Efficient hardware acceleration for approximate inference of bitwise deep neural networks. DASIP 2017: 1-6 - 2016
- [i1]Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Efficient Stochastic Inference of Bitwise Deep Neural Networks. CoRR abs/1611.06539 (2016)
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