Koen Helwegen

According to our database, Koen Helwegen authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Structural and functional connectivity reconstruction with CATO - A Connectivity Analysis TOolbox.

Siemon de Lange, Koen Helwegen, Martijn P. van den Heuvel

NeuroImage, June, 2023

2021

Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks.

Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen

Proceedings of Machine Learning and Systems 2021, 2021

How Do Adam and Training Strategies Help BNNs Optimization.

Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks.

Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen

CoRR, 2020

2019

Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization.

Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019