Van Sloun, Ruud

6 publications

TMLR 2025 A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation Amaan Valiuddin, Ruud Van Sloun, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen

TMLR 2025 Active Diffusion Subsampling Oisín Nolan, Tristan Stevens, Wessel L. van Nierop, Ruud Van Sloun

TMLR 2025 Removing Structured Noise Using Diffusion Models Tristan Stevens, Hans van Gorp, Faik C Meral, Junseob Shin, Jason Yu, Jean-luc Robert, Ruud Van Sloun

ICML 2024 Residual Quantization with Implicit Neural Codebooks Iris A.M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud Van Sloun, Jakob Verbeek

ICMLW 2024 Segmentation CNNs Are Denoising Models Luis A. Zavala-Mondragón, Ruud Van Sloun, Peter H.N. de With, Fons van der Sommen

ICML 2023 SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M Van Gilst, Ruud Van Sloun