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Marian Verhelst

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Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference

Jun 08, 2023
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari

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SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators

Apr 20, 2023
Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini

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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Apr 15, 2023
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander Bohte, Younes Bouhadjar, Sonia Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

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Real-Time Acoustic Perception for Automotive Applications

Jan 30, 2023
Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro

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Hardware-aware mobile building block evaluation for computer vision

Aug 26, 2022
Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre

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Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention

Mar 20, 2022
Zuzana Jelčicová, Marian Verhelst

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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

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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

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