Marian Verhelst

Overview

Best Publications

• 14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI

  Bert Moons;Roel Uytterhoeven;Wim Dehaene;Marian Verhelst

  487
  Citations

• An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS

  Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  241
  Citations

• A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications

  Iman Khajenasiri;Abouzar Estebsari;Marian Verhelst;Georges Gielen

  238
  Citations

• Benchmarking TinyML Systems: Challenges and Direction

  Colby R. Banbury;Vijay Janapa Reddi;Max Lam;William Fu

  215
  Citations

• An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS

  Bert Moons;Marian Verhelst

  198
  Citations

• A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets

  Bert Moons;Marian Verhelst

  184
  Citations

• Embedded Deep Neural Network Processing: Algorithmic and Processor Techniques Bring Deep Learning to IoT and Edge Devices

  Marian Verhelst;Bert Moons

  174
  Citations

• Minimum energy quantized neural networks

  Bert Moons;Koen Goetschalckx;Nick Van Berckelaer;Marian Verhelst

  144
  Citations

• Energy-efficient ConvNets through approximate computing

  Bert Moons;Bert De Brabandere;Luc Van Gool;Marian Verhelst

  130
  Citations

• ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators

  Linyan Mei;Pouya Houshmand;Vikram Jain;Sebastian Giraldo

  126
  Citations

• An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS

  Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  124
  Citations

• A 90 nm CMOS, $6\ {\upmu { ext{W}}}$ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection

  Komail M. H. Badami;Steven Lauwereins;Wannes Meert;Marian Verhelst

  119
  Citations

• A 2.4-GHz 20–40-MHz Channel WLAN Digital Outphasing Transmitter Utilizing a Delay-Based Wideband Phase Modulator in 32-nm CMOS

  A. Ravi;P. Madoglio;Hongtao Xu;K. Chandrashekar

  110
  Citations

• Where Analog Meets Digital: Analog?to?Information Conversion and Beyond

  Marian Verhelst;Ahmad Bahai

  106
  Citations

• DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC

  Unknown

  105
  Citations

• The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network

  Gert Dekkers;Steven Lauwereins;Bart Thoen;Mulu Weldegebreal Adhana

  99
  Citations

• 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

  97
  Citations

• Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

  Vincent Camus;Linyan Mei;Christian Enz;Marian Verhelst

  90
  Citations

• Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification

  Juan Sebastian P. Giraldo;Steven Lauwereins;Komail Badami;Marian Verhelst

  86
  Citations

• A CMOS Ultra-Wideband Receiver for Low Data-Rate Communication

  J. Ryckaert;M. Verhelst;M. Badaroglu;S. D'Amico

  85
  Citations

• Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies

  Bert Moons;Marian Verhelst

  84
  Citations

• A Reconfigurable, 130 nm CMOS 108 pJ/pulse, Fully Integrated IR-UWB Receiver for Communication and Precise Ranging

  N. Van Helleputte;M. Verhelst;W. Dehaene;G. Gielen

  78
  Citations

• A 5-GS/s 158.6-mW 9.4-ENOB Passive-Sampling Time-Interleaved Three-Stage Pipelined-SAR ADC With Analog–Digital Corrections in 28-nm CMOS

  Athanasios T. Ramkaj;Juan C. Pena Ramos;Marcel J. M. Pelgrom;Michiel S. J. Steyaert

  64
  Citations