van Sloun, Ruud J.G.

3 publications

NeurIPS 2024 Exploring the Trade-Off Between Deep-Learning and Explainable Models for Brain-Machine Interfaces Luis H. Cubillos, Guy Revach, Matthew J. Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan M. Wallace, Xiaoyong Ni, Madison M. Kelberman, Matthew S. Willsey, Ruud J.G. van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia A. Chestek

ICML 2021 Active Deep Probabilistic Subsampling Hans Van Gorp, Iris Huijben, Bastiaan S Veeling, Nicola Pezzotti, Ruud J. G. Van Sloun

ICLR 2020 Deep Probabilistic Subsampling for Task-Adaptive Compressed Sensing Iris A.M. Huijben, Bastiaan S. Veeling, Ruud J.G. van Sloun