research
∙
03/02/2022
Flow-based density of states for complex actions
Emerging sampling algorithms based on normalizing flows have the potenti...
share
research
∙
06/17/2021
Towards sampling complex actions
Path integrals with complex actions are encountered for many physical sy...
research
∙
08/03/2020
Spiking neuromorphic chip learns entangled quantum states
Neuromorphic systems are designed to emulate certain structural and dyna...
research
∙
03/03/2020
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
Machine learning has the potential to aid our understanding of phase str...
research
∙
05/10/2019
Spectral Reconstruction with Deep Neural Networks
We explore artificial neural networks as a tool for the reconstruction o...
research
∙
03/29/2019
Enabling decentral collaborative innovation processes - a web based real time collaboration platform
The main goal of this paper is to define a collaborative innovation proc...
research
∙
01/16/2019