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Jiaxiong Yao

2 papers hereh-index 11480 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedRevealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Nonparametric Factor Analysis and Beyond

Yujia Zheng, Yang Liu, Jiaxiong Yao +2

Nearly all identifiability results in unsupervised representation learning inspired by, e.g., independent component analysis, factor analysis, and causal representation learning, r…

stat.ML2022★ 2 cited

Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)

Yingyao Hu, Yang Liu, Jiaxiong Yao

Latent variable models are crucial in scientific research, where a key variable, such as effort, ability, and belief, is unobserved in the sample but needs to be identified. This p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.