39 citations · 86 across the 13 of their papers we have counts for
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stat.ML2018★ 4 cited
Neural-Kernelized Conditional Density Estimation
Hiroaki Sasaki, Aapo Hyvärinen
Conditional density estimation is a general framework for solving various problems in machine learning. Among existing methods, non-parametric and/or kernel-based methods are often…
stat.ML2018★ 39 cited
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen, Hiroaki Sasaki, Richard E. Turner
Nonlinear ICA is a fundamental problem for unsupervised representation learning, emphasizing the capacity to recover the underlying latent variables generating the data (i.e., iden…