From the 1 of 10 linked papers with an AI index.
4 papers · 1 filter
Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings
Laura Paul, Holger Rauhut, Martin Burger +2
The paper presents a hybrid method that treats crack detection in digitized paintings as an inverse problem, using a deep generative model to represent the crack-free artwork and a…
Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference
Simon Welker, Lorenz Kuger, Tim Roith +4
In this work, we present and investigate the novel blind inverse problem of position-blind ptychography, i.e., ptychographic phase retrieval without any knowledge of scan positions…
Adaptive Regularization for Sparsity Control in Bregman-Based Optimizers
Ahmad Aloradi, Tim Roith, Emanuël A. P. Habets +1
Sparse training reduces the memory and computational costs of deep neural networks. However, sparse optimization methods, e.g., those adding an penalty, often control spar…
Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
Albert Alcalde, Leon Bungert, Konstantin Riedl +1
Transformers with self-attention modules as their core components have become an integral architecture in modern large language and foundation models. In this paper, we study the e…