Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks. - Martin Erdmann; Lukas Geiger; Jonas Glombitza; David Schmidt (Comput. Softw. Big Sci., 2018)

Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. - Koen Helwegen; James Widdicombe; Lukas Geiger; Zechun Liu; Kwang-Ting Cheng; Roeland Nusselder (NeurIPS, 2019)

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)

Larq: An Open-Source Library for Training Binarized Neural Networks. - Lukas Geiger; Plumerai Team (J. Open Source Softw., 2020)

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 (MLSys, 2021)