Iris A. M. Huijben

24 papers A* 5Misc 4Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conditional Contrastive Predictive Coding for Assessment of Fetal Health From the Cardiotocogram. IEEE J. Biomed. Health Informatics Ivar R. de Vries, Raoul Melaet, Iris A. M. Huijben, Judith O. E. H. Van Laar, René D. Kok, S. Guid Oei, Ruud J. G. van Sloun, Rik Vullings
2025	Misc	`conf`	Learning Structured Compressed Sensing with Automatic Resource Allocation. ICASSP Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer
2024	—	`conf`	Attention on Sleep Stage Specific Characteristics. EMBC Iris A. M. Huijben, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2024	J	`jnl`	Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun
2024	J	`jnl`	Learning Structured Compressed Sensing with Automatic Resource Allocation. CoRR Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer
2024	A*	`conf`	Residual Quantization with Implicit Neural Codebooks. ICML Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2024	J	`jnl`	Residual Quantization with Implicit Neural Codebooks. CoRR Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2023	J	`jnl`	A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2023	A*	`conf`	SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. ICML Iris A. M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud van Sloun
2022	Misc	`conf`	Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings
2022	J	`jnl`	SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. CoRR Iris A. M. Huijben, Arthur A. Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2022	—	`conf`	Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings. EMBC Iris A. M. Huijben, Arthur A. Nijdam, Lieke W. A. Hermans, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2021	J	`jnl`	A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. CoRR Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2021	A*	`conf`	Active Deep Probabilistic Subsampling. ICML Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
2021	J	`jnl`	Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. CoRR Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun
2021	A*	`conf`	Overfitting for Fun and Profit: Instance-Adaptive Data Compression. ICLR Ties van Rozendaal, Iris A. M. Huijben, Taco Cohen
2021	J	`jnl`	Overfitting for Fun and Profit: Instance-Adaptive Data Compression. CoRR Ties van Rozendaal, Iris A. M. Huijben, Taco S. Cohen
2020	J	`jnl`	Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi
2020	A*	`conf`	Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	Misc	`conf`	Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. ICASSP Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	J	`jnl`	Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	J	`jnl`	Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. IEEE Trans. Medical Imaging Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun
2020	Misc	`conf`	Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. ICASSP Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar
2019	J	`jnl`	Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. CoRR Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun