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Found 2 papers, 1 papers with code
General Invertible Transformations for Flow-based Generative Modeling
In this paper, we present a new class of invertible transformations with an application to flow-based generative models.
Improving neural networks with bunches of neurons modeled by Kumaraswamy units: Preliminary study
Deep neural networks have recently achieved state-of-the-art results in many machine learning problems, e. g., speech recognition or object recognition.
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