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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 

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

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

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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 

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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: 

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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 

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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 

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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) 

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