Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Marian Verhelst

ProbLP: A framework for low-precision probabilistic inference


Feb 27, 2021
Nimish Shah, Laura I. Galindez Olascoaga, Wannes Meert, Marian Verhelst

* Proceedings of the 56th Annual Design Automation Conference (DAC) 2019 

  Access Paper or Ask Questions

Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules


Sep 21, 2020
Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé


  Access Paper or Ask Questions

Benchmarking TinyML Systems: Challenges and Direction


Mar 10, 2020
Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav

* 5 pages, 1 figure, 2 tables 

  Access Paper or Ask Questions

BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS


Apr 16, 2018
Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst

* Presented at the 2018 IEEE Custom Integrated Circuits Conference (CICC). Presentation is available here: https://www.researchgate.net/publication/324452819_Presentation_on_Binareye_at_CICC 

  Access Paper or Ask Questions

Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion


Mar 13, 2018
Matthijs Van keirsbilck, Bert Moons, Marian Verhelst

* Tech. report 

  Access Paper or Ask Questions

Minimum Energy Quantized Neural Networks


Nov 23, 2017
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst

* preprint for work presented at the 51st Asilomar Conference on Signals, Systems and Computers 

  Access Paper or Ask Questions

Energy-Efficient ConvNets Through Approximate Computing


Mar 22, 2016
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst

* Published in IEEE Winter Conference on Applications of Computer Vision (WACV 2016) 

  Access Paper or Ask Questions