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ORCIDIris A. M. Huijben
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2020 – today
- 2024
[j4]Lizeth Gonzalez-Carabarin
, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. 35(1): 733-744 (2024)- [c10]Iris A. M. Huijben, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun:
Attention on Sleep Stage Specific Characteristics. EMBC 2024: 1-4 - [c9]Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek:
Residual Quantization with Implicit Neural Codebooks. ICML 2024 - [i8]Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek:
Residual Quantization with Implicit Neural Codebooks. CoRR abs/2401.14732 (2024) - [i7]Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer:
Learning Structured Compressed Sensing with Automatic Resource Allocation. CoRR abs/2410.18954 (2024) - 2023
- [j3]Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun:
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1353-1371 (2023) - [c8]Iris A. M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud van Sloun:
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. ICML 2023: 14132-14152 - 2022
- [c7]Iris A. M. Huijben, Arthur A. Nijdam, Lieke W. A. Hermans, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun:
Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings. EMBC 2022: 2945-2948 - [c6]Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings:
Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP 2022: 3473-3477 - [i6]Iris A. M. Huijben, Arthur A. Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun:
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. CoRR abs/2205.15875 (2022) - 2021
- [c5]Ties van Rozendaal, Iris A. M. Huijben, Taco Cohen:
Overfitting for Fun and Profit: Instance-Adaptive Data Compression. ICLR 2021 - [c4]Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun:
Active Deep Probabilistic Subsampling. ICML 2021: 10509-10518 - [i5]Ties van Rozendaal, Iris A. M. Huijben, Taco S. Cohen:
Overfitting for Fun and Profit: Instance-Adaptive Data Compression. CoRR abs/2101.08687 (2021) - [i4]Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. CoRR abs/2105.12686 (2021) - [i3]Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun:
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. CoRR abs/2110.01515 (2021) - 2020
- [j2]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:
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39(8): 2676-2687 (2020) - [j1]Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun:
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. IEEE Trans. Medical Imaging 39(12): 3955-3966 (2020) - [c3]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. ICASSP 2020: 8906-8910 - [c2]Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar:
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. ICASSP 2020: 9125-9129 - [c1]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR 2020 - [i2]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR abs/2004.10536 (2020)
2010 – 2019
- 2019
- [i1]Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun:
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. CoRR abs/1908.05764 (2019)
Coauthor Index
aka: Ruud J. G. van Sloun
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