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eess.SP2020
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
Sina Alemohammad, Hossein Babaei, Randall Balestriero +8
High dimensionality poses many challenges to the use of data, from visualization and interpretation, to prediction and storage for historical preservation. Techniques abound to red…
eess.SP2020★ 3 cited
Interpretable Super-Resolution via a Learned Time-Series Representation
Randall Balestriero, Herve Glotin, Richard G. Baraniuk
We develop an interpretable and learnable Wigner-Ville distribution that produces a super-resolved quadratic signal representation for time-series analysis. Our approach has two ma…