2 papers
math.FA2025
New universal operator approximation theorem for encoder-decoder architectures
Janek Gödeke, Pascal Fernsel
Motivated by the rapidly growing field of mathematics for operator approximation with neural networks, we present a novel universal operator approximation theorem for broad classes…
cs.LG2024
Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation
Pascal Fernsel, Željko Kereta, Alexander Denker
The incorporation of generative models as regularisers within variational formulations for inverse problems has proven effective across numerous image reconstruction tasks. However…