2 papers
astro-ph.IM2026
A Differentiable Surrogate Model for the Generation of Radio Pulses from In-Ice Neutrino Interactions
Philipp Pilar, Martin Ravn, Christian Glaser +1
The planned IceCube-Gen2 radio neutrino detector at the South Pole will enhance the detection of cosmic ultra-high-energy neutrinos. It is crucial to utilize the available time unt…
stat.ML2025
Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks
Philipp Pilar, Markus Heinonen, Niklas Wahlström
Physics-informed neural networks (PINNs) have proven an effective tool for solving differential equations, in particular when considering non-standard or ill-posed settings. When i…