5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models
Temesgen Mehari, Nils Strodthoff
The field of deep-learning-based ECG analysis has been largely dominated by convolutional architectures. This work explores the prospects of applying the recently introduced struct…
cs.LG2020★ 1 cited
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
Simon Wiedemann, Temesgen Mehari, Kevin Kepp +1
Deep Neural Networks are successful but highly computationally expensive learning systems. One of the main sources of time and energy drains is the well known backpropagation (back…