39 citations · 86 across the 13 of their papers we have counts for
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cs.LG2021★ 2 cited
Representation learning for maximization of MI, nonlinear ICA and nonlinear subspaces with robust density ratio estimation
Hiroaki Sasaki, Takashi Takenouchi
Contrastive learning is a recent promising approach in unsupervised representation learning where a feature representation of data is learned by solving a pseudo classification pro…
cs.LG2019★ 2 cited
Robust contrastive learning and nonlinear ICA in the presence of outliers
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti +1
Nonlinear independent component analysis (ICA) is a general framework for unsupervised representation learning, and aimed at recovering the latent variables in data. Recent practic…