5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Neural Network Augmented Compartmental Pandemic Models
Lorenz Kummer, Kevin Sidak
Compartmental models are a tool commonly used in epidemiology for the mathematical modelling of the spread of infectious diseases, with their most popular representative being the…
cs.LG2021★ 5 cited
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
Lorenz Kummer, Kevin Sidak, Tabea Reichmann +1
Quantization is a technique for reducing deep neural networks (DNNs) training and inference times, which is crucial for training in resource constrained environments or application…