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05/31/2022
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Continuous monitoring with an ever-increasing number of sensors has beco...
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10/04/2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
The Gumbel-max trick is a method to draw a sample from a categorical dis...
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05/26/2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Unstructured neural network pruning algorithms have achieved impressive ...
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01/21/2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Neural data compression has been shown to outperform classical methods i...
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04/22/2020
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI
Compressed sensing (CS) MRI relies on adequate undersampling of the k-sp...
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08/15/2019