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researcher

Andres F. Duque

4 papers hereh-index 699 citations6 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML4

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedExtendable and invertible manifold learning with geometry regularized autoencoders

21 citations · 32 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2022

Manifold Alignment with Label Information

Andres F. Duque, Myriam Lizotte, Guy Wolf +1

Multi-domain data is becoming increasingly common and presents both challenges and opportunities in the data science community. The integration of distinct data-views can be used f…

stat.ML2022

Diffusion Transport Alignment

Andres F. Duque, Guy Wolf, Kevin R. Moon

The integration of multimodal data presents a challenge in cases when the study of a given phenomena by different instruments or conditions generates distinct but related domains.…

stat.ML2020★ 21 cited

Extendable and invertible manifold learning with geometry regularized autoencoders

Andrés F. Duque, Sacha Morin, Guy Wolf +1

A fundamental task in data exploration is to extract simplified low dimensional representations that capture intrinsic geometry in data, especially for faithfully visualizing data…

stat.ML2019★ 11 cited

Visualizing High Dimensional Dynamical Processes

Andrés F. Duque, Guy Wolf, Kevin R. Moon

Manifold learning techniques for dynamical systems and time series have shown their utility for a broad spectrum of applications in recent years. While these methods are effective…

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