Sparse and structured neural attention mechanisms
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Updated
Aug 31, 2020 - Python
Sparse and structured neural attention mechanisms
Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation
A Matching Pursuit Method for Generalized LASSO. An implementation in MATLAB and C++ with MEX interface. "MPGL: An Efficient Matching Pursuit Method for Generalized LASSO (AAAI'17)"
Resolution-independent normalization of Hi-C data
Hybrid Approach to Sparse Group Fused Lasso
Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.
We explored various approaches to deal with high-dimensional data in this study, and we compared them using simulation and soil datasets. We discovered that grouping had a significant impact on model correctness and error reduction. For the core projection step, we first looked at the properties of all the algorithms and how they function to com…
Weighted Fused Lasso Signal Approximator (wFLSA)
Notebook of Goepp and van de Kassteele (2021)
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