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Markus Kängsepp

2 papers here

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

author position
  • middle author2

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

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedBeyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

162 citations · 162 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Correlated daily time series and forecasting in the M4 competition

Anti Ingel, Novin Shahroudi, Markus Kängsepp +3

We participated in the M4 competition for time series forecasting and describe here our methods for forecasting daily time series. We used an ensemble of five statistical forecasti…

cs.LG2019★ 162 cited

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3

Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence. With neural networks, calibration can be improved by temperatu…

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