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researcher

Simo Särkkä

35 papers hereh-index 4611.4k citations302 works total

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

author position
  • sole author1
  • first author1
  • middle author12
  • last author20

Across the 34 of 35 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • cs.CV4
  • math.NA4
  • stat.CO4
  • stat.ME4
  • cs.DC2
same name
  • Simo Särkkä — 12 papers

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
20172024
most citedA Survey of Monte Carlo Methods for Parameter Estimation

196 citations · 223 across the 11 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2019

The Use of Gaussian Processes in System Identification

Simo Särkkä

Gaussian processes are used in machine learning to learn input-output mappings from observed data. Gaussian process regression is based on imposing a Gaussian process prior on the…

stat.ML2018

Improved Calibration of Numerical Integration Error in Sigma-Point Filters

Jakub Prüher, Toni Karvonen, Chris J. Oates +2

The sigma-point filters, such as the UKF, which exploit numerical quadrature to obtain an additional order of accuracy in the moment transformation step, are popular alternatives t…

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