286 citations · 823 across the 37 of their papers we have counts for
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stat.ML2018★ 17 cited
The Sparse Manifold Transform
Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
We present a signal representation framework called the sparse manifold transform that combines key ideas from sparse coding, manifold learning, and slow feature analysis. It turns…
cs.SD2018
Generalization Challenges for Neural Architectures in Audio Source Separation
Shariq Mobin, Brian Cheung, Bruno Olshausen
Recent work has shown that recurrent neural networks can be trained to separate individual speakers in a sound mixture with high fidelity. Here we explore convolutional neural netw…