activity
20182022
most citedLearning in Deep Neural Networks Using a Biologically Inspired Optimizer

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.NE2022

On the visual analytic intelligence of neural networks

Stanisław Woźniak, Hlynur Jónsson, Giovanni Cherubini +2

Visual oddity task was conceived as a universal ethnic-independent analytic intelligence test for humans. Advancements in artificial intelligence led to important breakthroughs, ye…

eess.AS2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks

Thomas Bohnstingl, Ayush Garg, Stanisław Woźniak +3

Automatic speech recognition (ASR) is a capability which enables a program to process human speech into a written form. Recent developments in artificial intelligence (AI) have led…

cs.NE20211 cited

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer

Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri +2

Plasticity circuits in the brain are known to be influenced by the distribution of the synaptic weights through the mechanisms of synaptic integration and local regulation of synap…

cs.LG2020

Online Spatio-Temporal Learning in Deep Neural Networks

Thomas Bohnstingl, Stanisław Woźniak, Wolfgang Maass +2

Biological neural networks are equipped with an inherent capability to continuously adapt through online learning. This aspect remains in stark contrast to learning with error back…

cs.NE2018

Deep learning incorporating biologically-inspired neural dynamics

Stanisław Woźniak, Angeliki Pantazi, Thomas Bohnstingl +1

Neural networks have become the key technology of artificial intelligence and have contributed to breakthroughs in several machine learning tasks, primarily owing to advances in de…