10 citations · 15 across the 8 of their papers we have counts for
8 papers
GraphGP: Scalable Gaussian Processes with Vecchia's Approximation
Benjamin Dodge, Philipp Frank, Susan E. Clark
Gaussian processes are a powerful tool for modeling continuous fields, but their naive computational cost and memory requirement often limit t…
Information Field Theory with JAX infers Air Shower Electric Currents from Antenna Signal Traces
Maximilian Straub, Torsten Enßlin, Martin Erdmann +2
Direct imaging of cosmic-ray-induced particle showers during daylight is a long-standing challenge in astroparticle physics. A promising avenue for capturing images of these shower…
Electric Field Reconstruction with Information Field Theory
Simon Strähnz, Tim Huege, Philipp Frank +1
Reconstructing the electric field from the measured voltages in an antenna, unfolding the antenna response, comes with several problems. Due to the noisiness of the signal it is of…
Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data
Margret Westerkamp, Jakob Roth, Philipp Frank +2
Nested sampling (NS) is a stochastic method for computing the log-evidence of a Bayesian problem. It relies on stochastic estimates of prior volumes enclosed by likelihood contours…
Non-parametric Bayesian reconstruction of Galactic magnetic fields using Information Field Theory: The inclusion of line-of-sight information in ultra-high energy cosmic ray backtracking
Alexandros Tsouros, Abhijit B. Bendre, Gordian Edenhofer +4
(abridged) Ultra-high energy cosmic rays (UHECRs) are extremely energetic charged particles with energies surpassing eV. Their sources remain elusive, obscured by deflect…
Inferring Evidence from Nested Sampling Data via Information Field Theory
Margret Westerkamp, Jakob Roth, Philipp Frank +2
Nested sampling provides an estimate of the evidence of a Bayesian inference problem via probing the likelihood as a function of the enclosed prior volume. However, the lack of pre…
Quantum Measurement and Objective Classical Reality
Vishal Johnson, Philipp Frank, Torsten Enßlin
We explore quantum measurement in the context of Everettian unitary quantum mechanics and construct an explicit unitary measurement procedure. We propose the existence of prior cor…
Causal, Bayesian, & Non-parametric Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient's Age
Matteo Guardiani, Philipp Frank, Andrija Kostić +4
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 the…