Bert Moons

26 papers A* 3A 3C 1Misc 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge.
ISSCC
Pascal Alexander Hager, Bert Moons, Stefan Cosemans, Ioannis A. Papistas, Bram Rooseleer, Jeroen Van Loon, Roel Uytterhoeven, Florian Zaruba, Spyridoula Koumousi, Milos Stanisavljevic, Stefan Mach, Sebastiaan Mutsaards, Riduan Khaddam Aljameh, Gua Hao Khov, Brecht Machiels, Cristian Olar, Anastasios Psarras, Sander Geursen, Jeroen Vermeeren, Yi Lu, Abhishek Maringanti, Deepak Ameta, Leonidas Katselas, Noah Hütter, Manuel Schmuck, Swetha Sivadas, Karishma Sharma, Manuel Oliveira, Ramon Aerne, Nitish Sharma, Timir Soni, Beatrice Bussolino, Djordje Pesut, Michele Pallaro, Andrei Podlesnii, Alexios Lyrakis, Yannick Ruffiner, Martino Dazzi, Johannes Thiele, Koen Goetschalckx, Nazareno Bruschi, Jonas Doevenspeck, Bram Verhoef, Stefan Linz, Giuseppe Garcea, Jonathan Ferguson, Ioannis Koltsidas, Evangelos Eleftheriou
2023 A* conf
Differentiable Transportation Pruning.
ICCV
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
2023 J jnl
Differentiable Transportation Pruning.
CoRR
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
2021 A* conf
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces.
ICCV
Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
2020 J jnl
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces.
CoRR
Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
2019 J jnl
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS.
IEEE J. Solid State Circuits
Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
2018 — conf
An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS.
ISSCC
Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
2018 J jnl
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS.
CoRR
Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst
2018 — conf
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS.
CICC
Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst
2018 C conf
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor.
ISCAS
Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann
2018 — conf
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression.
EMDL@MobiSys
Koen Goetschalckx, Bert Moons, Patrick Wambacq, Marian Verhelst
2018 J jnl
Optimized Hierarchical Cascaded Processing.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst
2018 J jnl
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion.
CoRR
Matthijs Van Keirsbilck, Bert Moons, Marian Verhelst
2018 A* conf
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs.
DAC
Gage Hills, Daniel Bankman, Bert Moons, Lita Yang, Jake Hillard, Alex Kahng, Rebecca Park, Marian Verhelst, Boris Murmann, Max M. Shulaker, H.-S. Philip Wong, Subhasish Mitra
2017 — conf
14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI.
ISSCC
Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst
2017 J jnl
An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS.
IEEE J. Solid State Circuits
Bert Moons, Marian Verhelst
2017 A conf
DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling.
DATE
Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst
2017 J jnl
Minimum Energy Quantized Neural Networks.
CoRR
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst
2017 Misc conf
Minimum energy quantized neural networks.
ACSSC
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst
2016 J jnl
A 0.3-2.6 TOPS/W Precision-Scalable Processor for Real-Time Large-Scale ConvNets.
CoRR
Bert Moons, Marian Verhelst
2016 — conf
A 0.3-2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets.
VLSI Circuits
Bert Moons, Marian Verhelst
2016 J jnl
Energy-Efficient ConvNets Through Approximate Computing.
CoRR
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
2016 A conf
Energy-efficient ConvNets through approximate computing.
WACV
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
2015 A conf
DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing.
ISLPED
Bert Moons, Marian Verhelst
2014 — conf
Energy and accuracy in multi-stage stochastic computing.
NEWCAS
Bert Moons, Marian Verhelst
2014 J jnl
Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Bert Moons, Marian Verhelst