67 citations · 95 across the 4 of their papers we have counts for
4 papers
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
Tom Bannink, Arash Bakhtiari, Adam Hillier +5
We introduce Larq Compute Engine, the world's fastest Binarized Neural Network (BNN) inference engine, and use this framework to investigate several important questions about the e…
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger +3
Optimization of Binarized Neural Networks (BNNs) currently relies on real-valued latent weights to accumulate small update steps. In this paper, we argue that these latent weights…
Origins of Extragalactic Cosmic Ray Nuclei by Contracting Alignment Patterns induced in the Galactic Magnetic Field
Martin Erdmann, Lukas Geiger, David Schmidt +2
We present a novel approach to search for origins of ultra-high energy cosmic rays. These particles are likely nuclei that initiate extensive air showers in the Earth's atmosphere.…
Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks
Martin Erdmann, Lukas Geiger, Jonas Glombitza +1
We use adversarial network architectures together with the Wasserstein distance to generate or refine simulated detector data. The data reflect two-dimensional projections of spati…