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2020 – today
- 2024
[c5]Alexander Hoffman, Ala Fnayou, Fedor Smirnov, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
MuDSE: GA-ILP-based Framework for Automated Deployment of Multiple DNNs on Heterogeneous Mixed-Criticality Systems. COINS 2024: 1-8- [c4]Alexander Hoffman, Ulf Schlichtmann, Daniel Mueller-Gritschneder:
MuNAS: TinyML Network Architecture Search Using Goal Attainment and Reinforcement Learning. MECO 2024: 1-8 - [i6]MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat, Ivan Lazarevich, Alexander Hoffman, Sudhakar Sah, Ehsan Saboori, Yvon Savaria, Jean-Pierre David:
QGen: On the Ability to Generalize in Quantization Aware Training. CoRR abs/2404.11769 (2024) - [i5]Sudhakar Sah, Darshan C. Ganji, Matteo Grimaldi, Ravish Kumar, Alexander Hoffman, Honnesh Rohmetra, Ehsan Saboori:
MCUBench: A Benchmark of Tiny Object Detectors on MCUs. CoRR abs/2409.18866 (2024) - 2023
- [c3]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. BMVC 2023: 889-892 - [c2]Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon:
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CVPR Workshops 2023: 4656-4664 - [i4]Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon:
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CoRR abs/2304.09049 (2023) - [i3]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. CoRR abs/2309.10878 (2023) - 2022
- [i2]MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alexander Hoffman, Ivan Lazarevich, Ehsan Saboori, Olivier Mastropietro, Yvon Savaria, Jean-Pierre David:
QReg: On Regularization Effects of Quantization. CoRR abs/2206.12372 (2022) - [i1]Saad Ashfaq, MohammadHossein AskariHemmat, Sudhakar Sah, Ehsan Saboori, Olivier Mastropietro, Alexander Hoffman:
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime. CoRR abs/2207.08820 (2022) - 2021
- [j1]Rafael Stahl
, Alexander Hoffman, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices. Int. J. Parallel Program. 49(4): 600-624 (2021) - 2020
- [c1]Alexander Hoffman, Anuj Pathania, Philipp H. Kindt, Samarjit Chakraborty, Tulika Mitra:
BrezeFlow: Unified Debugger for Android CPU Power Governors and Schedulers on Edge Devices. DAC 2020: 1-6
Coauthor Index
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