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Found 8 papers, 0 papers with code
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference
Imaging is the process of transforming noisy, incomplete data into a space that humans can interpret.
Attention to Entropic Communication
To see how proper attention communication can emerge, we analyze a scenario of a message sender who wants to ensure that the receiver of the message can perform well-informed actions.
Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)
Gaussian Processes (GPs) are highly expressive, probabilistic models.
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.
Geometric variational inference
Efficiently accessing the information contained in non-linear and high dimensional probability distributions remains a core challenge in modern statistics.
Bayesian decomposition of the Galactic multi-frequency sky using probabilistic autoencoders
The three most significant feature maps encode astrophysical components: (1) The dense interstellar medium (ISM), (2) the hot and dilute regions of the ISM and (3) the CMB.
Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena Data Analysis, Statistics and Probability
Variable structures in M87* from space, time and frequency resolved interferometry
Observing the dynamics of compact astrophysical objects provides insights into their inner workings, thereby probing physics under extreme conditions.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
