Robuta

https://openreview.net/forum?id=dHsFFekd_-o Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA |... We propose a novel principled approach to disentanglement based on learning a sparse causal graphical model of the latent factors. sparsity regularization disentanglement via mechanism https://openreview.net/forum?id=ZzUz0jo200 Sparsity regularization via tree-structured environments for disentangled representations |... Many causal systems such as biological processes in cells can only be observed indirectly via measurements, such as gene expression. Causal representation... sparsity regularization via tree structured environments https://openreview.net/forum?id=Kvef55YMkm3 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs |... A Bayesian shrinkage and clustering prior is proposed to simultaneously detect structured sparsity and smoothness on graphs. https://jmlr.org/papers/v14/rosasco13a.html Nonparametric Sparsity and Regularization nonparametric sparsity regularization https://www.mdpi.com/1424-8220/20/19/5666 Image Compressive Sensing via Hybrid Nonlocal Sparsity Regularization This paper focuses on image compressive sensing (CS). As the intrinsic properties of natural images, nonlocal self-similarity and sparse representation have... compressive sensing image via hybrid nonlocal https://easychair.org/publications/preprint/zMrx ARTS: an Adaptive Regularization Training Schedule for Activation Sparsity Exploration training schedule arts adaptive regularization activation