Representations of temporal sleep dynamics: Review and synthesis of the literature von Hermans, Lieke WA, Huijben, Iris AM, van Gorp, Hans, Leufkens, Tim RM, Fonseca, Pedro, Overeem, Sebastiaan, van Gilst, Merel M.

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A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning von Huijben, Iris A. M., Kool, Wouter, Paulus, Max B., van Sloun, Ruud J. G.

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Certainty about uncertainty in sleep staging: a theoretical framework von van Gorp, Hans, Huijben, Iris A M, Fonseca, Pedro, van Sloun, Ruud J G, Overeem, Sebastiaan, van Gilst, Merel M

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Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging von Huijben, Iris A. M., Veeling, Bastiaan S., Janse, Kees, Mischi, Massimo, van Sloun, Ruud J. G.

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Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities von Gonzalez-Carabarin, Lizeth, Huijben, Iris A. M., Veeling, Bastian, Schmid, Alexandre, van Sloun, Ruud J. G.

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Temporal dynamics of awakenings from slow-wave sleep in non-rapid eye movement parasomnia von Huijben, Iris A M, van Sloun, Ruud J G, Hoondert, Bertram, Dujardin, Sylvie, Pijpers, Angelique, Overeem, Sebastiaan, van Gilst, Merel M

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Interpretation and further development of the hypnodensity representation of sleep structure von Huijben, Iris A M, Hermans, Lieke W A, Rossi, Alessandro C, Overeem, Sebastiaan, van Gilst, Merel M, van Sloun, Ruud J G

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Artificial intelligence based cardiotocogram assessment during labor von Melaet, Raoul, de Vries, Ivar R., Kok, René D., Guid Oei, S., Huijben, Iris A.M., van Sloun, Ruud J.G., O.E.H. van Laar, Judith, Vullings, Rik

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Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging von Huijben, Iris A M, Veeling, Bastiaan S, Janse, Kees, Mischi, Massimo, Ruud J G van Sloun

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Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI von Huijben, Iris A M, Veeling, Bastiaan S, Ruud J G van Sloun

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Learning Structured Compressed Sensing with Automatic Resource Allocation von Wang, Han, Pérez, Eduardo, Huijben, Iris A. M, van Gorp, Hans, van Sloun, Ruud, Römer, Florian

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Residual Quantization with Implicit Neural Codebooks von Huijben, Iris A. M, Douze, Matthijs, Muckley, Matthew, van Sloun, Ruud J. G, Verbeek, Jakob

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Overfitting for Fun and Profit: Instance-Adaptive Data Compression von van Rozendaal, Ties, Huijben, Iris A. M, Cohen, Taco S

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A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning von Huijben, Iris A. M, Kool, Wouter, Paulus, Max B, van Sloun, Ruud J. G

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

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Learning Structured Compressed Sensing with Automatic Resource Allocation von Wang, Han, Pérez, Eduardo, Huijben, Iris A M, Hans van Gorp, Ruud van Sloun, Römer, Florian

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Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities von Gonzalez-Carabarin, Lizeth, Huijben, Iris A. M, Veeling, Bastiaan S, Schmid, Alexandre, van Sloun, Ruud J. G

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Residual Quantization with Implicit Neural Codebooks von Huijben, Iris A M, Douze, Matthijs, Muckley, Matthew, Ruud J G van Sloun, Verbeek, Jakob

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Overfitting for Fun and Profit: Instance-Adaptive Data Compression von Ties van Rozendaal, Huijben, Iris A M, Cohen, Taco S

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SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series von Huijben, Iris A M, Nijdam, Arthur A, Overeem, Sebastiaan, van Gilst, Merel M, Ruud J G van Sloun

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