collaborators

5 papers

cs.LG2025

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning

Hans van Gorp, Davide Belli, Amir Jalalirad +1

The Global Navigation Satellite System (GNSS) provides critical positioning information globally, but its accuracy in dense urban environments is often compromised by multipath and…

cs.LG2025

Removing Structured Noise with Diffusion Models

Tristan S. W. Stevens, Hans van Gorp, Faik C. Meral +4

Solving ill-posed inverse problems requires careful formulation of prior beliefs over the signals of interest and an accurate description of their manifestation into noisy measurem…

cs.LG2025

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…

eess.IV2025

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…

cs.CV2024

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

Vidya Prasad, Hans van Gorp, Christina Humer +3

Diffusion models, widely used in image generation, rely on iterative refinement to generate images from noise. Understanding this data evolution is important for model development…