305 citations · 611 across the 20 of their papers we have counts for
3 papers · 1 filter
Expand-and-Cluster: Parameter Recovery of Neural Networks
Flavio Martinelli, Berfin Simsek, Wulfram Gerstner +1
Can we identify the weights of a neural network by probing its input-output mapping? At first glance, this problem seems to have many solutions because of permutation, overparamete…
Kernel Memory Networks: A Unifying Framework for Memory Modeling
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
We consider the problem of training a neural network to store a set of patterns with maximal noise robustness. A solution, in terms of optimal weights and state update rules, is de…
Biologically plausible deep learning -- but how far can we go with shallow networks?
Bernd Illing, Wulfram Gerstner, Johanni Brea
Training deep neural networks with the error backpropagation algorithm is considered implausible from a biological perspective. Numerous recent publications suggest elaborate model…