19 citations · 54 across the 3 of their papers we have counts for
3 papers
stat.ML2020★ 18 cited
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
David Klindt, Lukas Schott, Yash Sharma +4
We construct an unsupervised learning model that achieves nonlinear disentanglement of underlying factors of variation in naturalistic videos. Previous work suggests that represent…
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…
q-bio.QM2014★ 19 cited
Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels
Peter F. Schultz, Dylan M. Paiton, Wei Lu +1
In sparse coding it is common to tile an image into nonoverlapping patches, and then use a dictionary to create a sparse representation of each tile independently. In this situatio…