4 papers
Iterative Amortized Hierarchical VAE
Simon W. Penninga, Ruud J. G. van Sloun
In this paper we propose the Iterative Amortized Hierarchical Variational Autoencoder (IA-HVAE), which expands on amortized inference with a hybrid scheme containing an initial amo…
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun +2
Neural operators have emerged as a promising paradigm for learning solution operators of partial differential equa- tions (PDEs) directly from data. Existing methods, such as those…
Learning Structured Compressed Sensing with Automatic Resource Allocation
Han Wang, Eduardo Pérez, Iris A. M. Huijben +3
Multidimensional data acquisition often requires extensive time and poses significant challenges for hardware and software regarding data storage and processing. Rather than design…
Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
Simon W. Penninga, Hans van Gorp, Ruud J. G. van Sloun
Ultrasound images are commonly formed by sequential acquisition of beam-steered scan-lines. Minimizing the number of required scan-lines can significantly enhance frame rate, field…