Ruud J. G. van Sloun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. | Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman |
| 2025 | ICASSP | Deep Learning for Modulo Sampling of FRI Signals. | Sem Koenen, Vincent van de Schaft, Ruud J. G. van Sloun |
| 2025 | ICASSP | Deep Variational Sequential Monte Carlo for High-Dimensional Observations. | Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun |
| 2025 | ICASSP | Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging. | Simon W. Penninga, Hans Van Gorp, Ruud J. G. van Sloun |
| 2025 | ICASSP | Sequential Posterior Sampling with Diffusion Models. | Tristan S. W. Stevens, Oisn Nolan, Jean-Luc Robert, Ruud J. G. van Sloun |
| 2025 | ICASSP | Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation. | Xinyi Wei, Jihwan Youn, Jeroen Overdevest, Jun Li, Satish Ravindran, Ruud J. G. van Sloun |
| 2024 | ICASSP | Model-Based Diffusion for Mitigating Automotive Radar Interference. | Jeroen Overdevest, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun |
| 2023 | ICASSP | Learned Kalman Filtering in Latent Space with High-Dimensional Data. | Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger |
| 2023 | ICASSP | Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain. | Koen C. E. van de Camp, Hamdi Joudeh, Duarte J. Antunes, Ruud J. G. van Sloun |
| 2023 | ICASSP | Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. | Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun |
| 2023 | ICASSP | Hierarchical Filtering With Online Learned Priors for ECG Denoising. | Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings |
| 2023 | ICASSP | Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging. | Ben Luijten, Boudewine W. Ossenkoppele, Nico de Jong, Martin D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun |
| 2023 | ICASSP | Signal Reconstruction for FMCW Radar Interference Mitigation Using Deep Unfolding. | Jeroen Overdevest, A. G. C. Koppelaar, M. J. G. Bekooij, J. Youn, Ruud J. G. van Sloun |
| 2023 | ICASSP | Deep Root Music Algorithm for Data-Driven Doa Estimation. | Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger |
| 2022 | ICASSP | Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. | Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun |
| 2022 | ICASSP | Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging. | Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram |
| 2022 | ICASSP | Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. | Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2022 | ICASSP | Deep Augmented Music Algorithm for Data-Driven Doa Estimation. | Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun |
| 2022 | ICASSP | RTSNet: Deep Learning Aided Kalman Smoothing. | Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2022 | ICASSP | Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. | Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun |
| 2022 | ICASSP | Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. | Bert de Vries, Iris A. M. Huijben, Ren D. Kok, Ruud J. G. van Sloun, Rik Vullings |
| 2022 | ICASSP | Image Denoising with Deep Unfolding And Normalizing Flows. | Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun |
| 2022 | ISCAS | Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations. | Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun |
| 2022 | MICCAI | Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. | M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen |
| 2021 | ICASSP | Kalmannet: Data-Driven Kalman Filtering. | Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2021 | ICML | Active Deep Probabilistic Subsampling. | Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun |
| 2021 | MICCAI | Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. | M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen |
| 2020 | ICASSP | Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. | Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun |
| 2020 | ICASSP | Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. | Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar |
| 2020 | ICLR | ProxSGD: Training Structured Neural Networks under Regularization and Constraints. | Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas |
| 2020 | ICLR | Deep probabilistic subsampling for task-adaptive compressed sensing. | Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun |
| 2019 | ICASSP | Deep Convolutional Robust PCA with Application to Ultrasound Imaging. | Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2019 | ICASSP | Deep Learning for Fast Adaptive Beamforming. | Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun |
| 2019 | ICASSP | Deep Learning for Super-resolution Vascular Ultrasound Imaging. | Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Yonina C. Eldar, Massimo Mischi |
| 2019 | ICASSP | Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging. | Oren Solomon, Ruud J. G. van Sloun, Massimo Mischi, Yonina C. Eldar |