Bert Moons

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Efficient Inference

Random Access Memory

Top Venues

IEEE J. Solid State Circuits

Publications

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
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC (2024)
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
Differentiable Transportation Pruning. CoRR (2023)
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
Differentiable Transportation Pruning. ICCV (2023)
Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. ICCV (2021)
Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. CoRR (2020)
Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
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 54 (1) (2019)
Matthijs Van Keirsbilck, Bert Moons, Marian Verhelst
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion. CoRR (2018)
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
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs. DAC (2018)
Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS. CICC (2018)
Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS. ISSCC (2018)
Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst
Optimized Hierarchical Cascaded Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. ISCAS (2018)
Koen Goetschalckx, Bert Moons, Patrick Wambacq, Marian Verhelst
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression. EMDL@MobiSys (2018)
Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS. CoRR (2018)
Bert Moons, Marian Verhelst
An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS. IEEE J. Solid State Circuits 52 (4) (2017)
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst
Minimum Energy Quantized Neural Networks. CoRR (2017)
Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst
DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling. DATE (2017)
Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst
14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI. ISSCC (2017)
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst
Minimum energy quantized neural networks. ACSSC (2017)
Bert Moons, Marian Verhelst
A 0.3-2.6 TOPS/W Precision-Scalable Processor for Real-Time Large-Scale ConvNets. CoRR (2016)
Bert Moons, Marian Verhelst
A 0.3-2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets. VLSI Circuits (2016)
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
Energy-efficient ConvNets through approximate computing. WACV (2016)
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
Energy-Efficient ConvNets Through Approximate Computing. CoRR (2016)
Bert Moons, Marian Verhelst
DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing. ISLPED (2015)
Bert Moons, Marian Verhelst
Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies. IEEE J. Emerg. Sel. Topics Circuits Syst. 4 (4) (2014)
Bert Moons, Marian Verhelst
Energy and accuracy in multi-stage stochastic computing. NEWCAS (2014)