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Axel Acosta 0001

Axel J. Acosta

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affiliation: Robert Bosch Corporate Research Renningen, Germany

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2020 – today

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2023
[c2]
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  dblp key:
  - conf/icassp/SainiAH23
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  - https://dblp.org/rec/conf/icassp/SainiAH23
Loveneet Saini, Axel Acosta, Gor Hakobyan:
Graph Neural Networks for Object Type Classification Based on Automotive Radar Point Clouds and Spectra. ICASSP 2023: 1-5
2022
[j1]
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  - journals/taco/RieberAF22
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Dennis Rieber, Axel Acosta, Holger Fröning:
Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming. ACM Trans. Archit. Code Optim. 19(1): 7:1-7:26 (2022)
2021
[i3]
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  - journals/corr/abs-2104-03780
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Michael J. Klaiber, Axel J. Acosta, Ingo Feldner, Falk Rehm:
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers. CoRR abs/2104.03780 (2021)
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  - journals/corr/abs-2104-04731
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Dennis Rieber, Axel Acosta, Holger Fröning:
The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. CoRR abs/2104.04731 (2021)

2010 – 2019

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2019
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  - conf/intesa/KlaiberVAKEBGF19
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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
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  - journals/corr/abs-1910-11632
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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)

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