Login / Signup
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case.
Florian Rehm
Sofia Vallecorsa
Vikram A. Saletore
Hans Pabst
Adel Chaibi
Valeriu Codreanu
Kerstin Borras
Dirk Krücker
Published in:
CoRR (2021)
Keyphrases
</>
deep learning
high energy physics
unsupervised learning
machine learning
scientific data
generative model
unsupervised feature learning
automatic extraction
expectation maximization
probabilistic model
higher order
mental models
weakly supervised
active learning
databases
deep architectures
data sets