Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Hyvärinen, Aapo"'
Autor:
Morioka, Hiroshi, Hyvärinen, Aapo
A topic of great current interest is Causal Representation Learning (CRL), whose goal is to learn a causal model for hidden features in a data-driven manner. Unfortunately, CRL is severely ill-posed since it is a combination of the two notoriously il
Externí odkaz:
http://arxiv.org/abs/2310.15709
An old problem in multivariate statistics is that linear Gaussian models are often unidentifiable, i.e. some parameters cannot be uniquely estimated. In factor (component) analysis, an orthogonal rotation of the factors is unidentifiable, while in li
Externí odkaz:
http://arxiv.org/abs/2302.02672
Autor:
Hyvärinen, Aapo
This book uses the modern theory of artificial intelligence (AI) to understand human suffering or mental pain. Both humans and sophisticated AI agents process information about the world in order to achieve goals and obtain rewards, which is why AI c
Externí odkaz:
http://arxiv.org/abs/2205.15409
We consider independent component analysis of binary data. While fundamental in practice, this case has been much less developed than ICA for continuous data. We start by assuming a linear mixing model in a continuous-valued latent space, followed by
Externí odkaz:
http://arxiv.org/abs/2111.15431
We consider shared response modeling, a multi-view learning problem where one wants to identify common components from multiple datasets or views. We introduce Shared Independent Component Analysis (ShICA) that models each view as a linear transform
Externí odkaz:
http://arxiv.org/abs/2110.13502
We consider a multi-view learning problem known as group independent component analysis (group ICA), where the goal is to recover shared independent sources from many views. The statistical modeling of this problem requires to take noise into account
Externí odkaz:
http://arxiv.org/abs/2102.10964
Two apparently unrelated fields -- normalizing flows and causality -- have recently received considerable attention in the machine learning community. In this work, we highlight an intrinsic correspondence between a simple family of autoregressive no
Externí odkaz:
http://arxiv.org/abs/2011.02268
Autor:
Heinilä, Erkka1 (AUTHOR) erkka.heinila@jyu.fi, Hyvärinen, Aapo2,3 (AUTHOR), Parkkonen, Lauri4 (AUTHOR), Parviainen, Tiina5 (AUTHOR)
Publikováno v:
Brain & Behavior. Feb2024, Vol. 14 Issue 2, p1-17. 17p.