Picture for Michael Krämer

Michael Krämer

A theory of data variability in Neural Network Bayesian inference

Add code
Jul 31, 2023
Viaarxiv icon

Unified Field Theory for Deep and Recurrent Neural Networks

Add code
Jan 07, 2022
Figure 1 for Unified Field Theory for Deep and Recurrent Neural Networks
Figure 2 for Unified Field Theory for Deep and Recurrent Neural Networks
Figure 3 for Unified Field Theory for Deep and Recurrent Neural Networks
Viaarxiv icon

Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

Add code
Jul 26, 2021
Figure 1 for Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Figure 2 for Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Figure 3 for Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Figure 4 for Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Viaarxiv icon

Autoencoders for unsupervised anomaly detection in high energy physics

Add code
Apr 19, 2021
Figure 1 for Autoencoders for unsupervised anomaly detection in high energy physics
Figure 2 for Autoencoders for unsupervised anomaly detection in high energy physics
Figure 3 for Autoencoders for unsupervised anomaly detection in high energy physics
Figure 4 for Autoencoders for unsupervised anomaly detection in high energy physics
Viaarxiv icon