8 citations · 8 across the 1 of their papers we have counts for
3 papers
Reparameterized LLM Training via Orthogonal Equivalence Transformation
Zeju Qiu, Simon Buchholz, Tim Z. Xiao +3
While large language models (LLMs) are driving the rapid advancement of artificial intelligence, effectively and reliably training these large models remains one of the field's mos…
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax +4
Inferring atmospheric properties of exoplanets from observed spectra is key to understanding their formation, evolution, and habitability. Since traditional Bayesian approaches to…
Physically constrained causal noise models for high-contrast imaging of exoplanets
Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz +1
The detection of exoplanets in high-contrast imaging (HCI) data hinges on post-processing methods to remove spurious light from the host star. So far, existing methods for this tas…