4 papers
The Latent Information Geometry of Jet Classification
Rebecca Maria Kuntz, Tilman Plehn, Björn Malte Schäfer +2
Latent representations are an important theme in modern machine learning. Any network training with the notion of locality introduces a latent geometry which we can analyze with th…
Direct reconstruction of the Reionization history from 21cm 2D Power Spectra
Yannic Pietschke, Caroline Heneka, Tom Schlenker +2
The 21cm line from the spin-flip transition of neutral hydrogen (HI) provides a unique window into the Epoch of Reionization (EoR), the final phase transition of our Universe. The…
Starobinsky in Stereo: SKA-CMB Synergy in SBI
Benedikt Schosser, Caroline Heneka, Björn Malte Schäfer
Modern machine learning techniques can unlock the vast cosmological information encoded in forthcoming Square Kilometre Array (SKA) observations. We show that tomographic 21 cm dat…
Optimal, fast, and robust inference of reionization-era cosmology with the 21cmPIE-INN
Benedikt Schosser, Caroline Heneka, Tilman Plehn
Modern machine learning will allow for simulation-based inference from reionization-era 21cm observations at the Square Kilometre Array. Our framework combines a convolutional summ…