3 papers
eess.IV2025
Learned Single-Pixel Fluorescence Microscopy
Serban C. Tudosie, Valerio Gandolfi, Shivaprasad Varakkoth +3
Single-pixel imaging has emerged as a key technique in fluorescence microscopy, where fast acquisition and reconstruction are crucial. In this context, images are reconstructed fro…
cs.LG2024
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella, Simon Arridge, Chris Budd +2
We consider the problem of univariate nonlinear function approximation using shallow neural networks (NN) with a rectified linear unit (ReLU) activation function. We show that the…
math.NA2023
Inverse Problems with Learned Forward Operators
Simon Arridge, Andreas Hauptmann, Yury Korolev
Solving inverse problems requires the knowledge of the forward operator, but accurate models can be computationally expensive and hence cheaper variants that do not compromise the…