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Xiaoyu Ma

4 papers hereh-index 29 citations5 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • stat.ML3
  • stat.ME1
same name
  • Xiaoyu Ma — 10 papers, h 1
  • Xiaoyu Ma — 10 papers, h 4
  • Xiaoyu Ma — 8 papers, h 2
  • Xiaoyu Ma — 5 papers, h 2
  • Xiaoyu Ma — 3 papers, h 6
  • Xiaoyu Ma — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedFlexible and efficient emulation of spatial extremes processes via variational autoencoders

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2025

Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders

Xiaoyu Ma, Likun Zhang, Christopher K. Wikle

Extreme weather events are widely studied in fields such as agriculture, ecology, and meteorology. The spatio-temporal co-occurrence of extreme events can strengthen or weaken unde…

stat.ML2023★ 3 cited

Flexible and efficient emulation of spatial extremes processes via variational autoencoders

Likun Zhang, Xiaoyu Ma, Christopher K. Wikle +1

Many real-world processes have complex tail dependence structures that cannot be characterized using classical Gaussian processes. More flexible spatial extremes models exhibit app…

stat.ML2023

Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models

Xiaoyuan Ma, Jordan Rodu

The Baum-Welch (B-W) algorithm is the most widely accepted method for inferring hidden Markov models (HMM). However, it is prone to getting stuck in local optima, and can be too sl…

stat.ME2022

Sparse additive models in high dimensions with wavelets

Sylvain Sardy, Xiaoyu Ma

In multivariate regression, when covariates are numerous, it is often reasonable to assume that only a small number of them has predictive information. In some medical applications…

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