Towards nonlinear disentanglement in natural data with temporal sparse coding

D Klindt, L Schott, Y Sharma, I Ustyuzhaninov… - arXiv preprint arXiv …, 2020 - arxiv.org
We construct an unsupervised learning model that achieves nonlinear disentanglement of
underlying factors of variation in naturalistic videos. Previous work suggests that …

Universal hidden monotonic trend estimation with contrastive learning

E Pineau, S Razakarivony, M Gonzalez… - Science and Information …, 2023 - Springer
In this paper, we describe a universal method for extracting the underlying monotonic trend
factor from time series data. We propose an approach related to the Mann-Kendall test, a …