Lukas Geiger

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Highly Non Linear

Error Back Propagation

Image Reconstruction From Projections

Top Venues

Comput. Softw. Big Sci.

J. Open Source Softw.

Publications

Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen
Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks. MLSys (2021)
Lukas Geiger, Plumerai Team
Larq: An Open-Source Library for Training Binarized Neural Networks. J. Open Source Softw. 5 (45) (2020)
Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks. CoRR (2020)
Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. CoRR (2019)
Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. NeurIPS (2019)
Martin Erdmann, Lukas Geiger, Jonas Glombitza, David Schmidt
Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks. Comput. Softw. Big Sci. 2 (1) (2018)