Bert Moons
机构: Axelera AI, previously at Qualcomm AI Research and KU Leuven
每年引用次数
引用次数
引用: 2,344
H-指数: 16
I10-指数 : 17
出版物: 34
Energy-efficient ConvNets through approximate computing
Marian Verhelst , Bert Moons , Luc Van Gool , Bert De Brabandere
workshop on applications of computer vision 1 -8
120
2016
Minimum Energy Quantized Neural Networks
Marian Verhelst , Bert Moons , Nick Van Berckelaer , Koen Goetschalckx
arXiv: Neural and Evolutionary Computing
126
2017
Embedded Deep Learning
Marian Verhelst , Bert Moons , Daniel Bankman
Springer International Publishing
56
2021
Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies
Bert Moons , Marian Verhelst
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 4 ( 4) 475 -486
39
2014
Optimized Hierarchical Cascaded Processing
Koen Goetschalckx , Bert Moons , Steven Lauwereins , Martin Andraud
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 ( 4) 884 -894
10
2018
DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling
Bert Moons , Roel Uytterhoeven , Wim Dehaene , Marian Verhelst
design, automation, and test in europe 20 488 -493
22
2017
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS
Bert Moons , Daniel Bankman , Lita Yang , Boris Murmann
custom integrated circuits conference 1 -4
101
2018
Energy and accuracy in multi-stage stochastic computing
Bert Moons , Marian Verhelst
international new circuits and systems conference 197 -200
5
2014
DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing
Bert Moons , Marian Verhelst
international symposium on low power electronics and design 237 -242
34
2015
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs
Gage Hills , Daniel Bankman , Bert Moons , Lita Yang
design automation conference 74
9
2018
Embedded Deep Neural Network Processing: Algorithmic and Processor Techniques Bring Deep Learning to IoT and Edge Devices
Marian Verhelst , Bert Moons
IEEE Solid-State Circuits Magazine 9 ( 4) 55 -65
148
2017
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor
Lita Yang , Daniel Bankman , Bert Moons , Marian Verhelst
2018 IEEE International Symposium on Circuits and Systems (ISCAS) 1 -5
39
2018
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression
Koen Goetschalckx , Bert Moons , Patrick Wambacq , Marian Verhelst
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning 1 -6
8
2018
Conclusions, Contributions, and Future Work
Bert Moons , Daniel Bankman , Marian Verhelst , Bert Moons
Springer, Cham 195 -200
2019
BINAREYE: Digital and Mixed-Signal Always-On Binary Neural Network Processing
Bert Moons , Daniel Bankman , Marian Verhelst , Bert Moons
Springer, Cham 153 -194
1
2019
A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets
Bert Moons , Marian Verhelst
symposium on vlsi circuits 1 -2
99
2016
Spatio-Temporal Gated Transformers for Efficient Video Processing
Yawei Li , Babak Ehteshami Bejnordi , Bert Moons , Tijmen Blankevoort
Smpte Journal
2
2021
Differentiable transportation pruning
Yunqiang Li , Jan C van Gemert , Torsten Hoefler , Bert Moons
Proceedings of the IEEE/CVF International Conference on Computer Vision 16957 -16967
6
2023
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6 TOPS SoC for Cost-and Energy-Efficient Inference at the Edge
Pascal Alexander Hager , Bert Moons , Stefan Cosemans , Ioannis A Papistas
2024 IEEE International Solid-State Circuits Conference (ISSCC) 67 212 -214
2024
Processing video content using gated transformer neural networks
Yawei Li , Bert Moons , Tijmen Pieter Frederik Blankevoort , Amirhossein Habibian
2023