Richard Gerum

Orcid: 0000-0001-5893-2650

According to our database1, Richard Gerum authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer.
CoRR, 2022

Different Spectral Representations in Optimized Artificial Neural Networks and Brains.
CoRR, 2022

Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception.
CoRR, 2022

2021
Quantifying the separability of data classes in neural networks.
Neural Networks, 2021

Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach.
Neural Comput., 2021

2020
Sparsity through evolutionary pruning prevents neuronal networks from overfitting.
Neural Networks, 2020

pylustrator: code generation for reproducible figures for publication.
J. Open Source Softw., 2020

Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning.
CoRR, 2020

2019
CameraTransform: A Python package for perspective corrections and image mapping.
SoftwareX, 2019

2018
How deep is deep enough? - Optimizing deep neural network architecture.
CoRR, 2018

2017
CameraTransform: a Scientific Python Package for Perspective Camera Corrections.
CoRR, 2017


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