Information field theory and artificial intelligence
T Enßlin - Entropy, 2022 - mdpi.com
Information field theory (IFT), the information theory for fields, is a mathematical framework
for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and …
for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and …
Inference of black hole fluid-dynamics from sparse interferometric measurements
We develop an approach to recover the underlying properties of fluid-dynamical processes
from sparse measurements. We are motivated by the task of imaging the stochastically …
from sparse measurements. We are motivated by the task of imaging the stochastically …
Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient's age
The viral load of patients infected with SARS-CoV-2 varies on logarithmic scales and
possibly with age. Controversial claims have been made in the literature regarding whether …
possibly with age. Controversial claims have been made in the literature regarding whether …
[PDF][PDF] Non-parametric Bayesian Causal Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient's Age
The viral load of patients infected with SARS-CoV-2 varies on logarithmic scales and
possibly with age. Controversial claims have been made in the literature regarding whether …
possibly with age. Controversial claims have been made in the literature regarding whether …
The Nature and Impact of Active Galactic Nuclei
P Tiede - 2021 - uwspace.uwaterloo.ca
The gravitational interaction around the event horizon of black holes presents theoretical
challenges. With the advent of the Event Horizon Telescope (EHT), we are now entering an …
challenges. With the advent of the Event Horizon Telescope (EHT), we are now entering an …