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researcher

Michael Bohlke-Schneider

20 papers hereh-index 152.9k citations27 works total

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

author position
  • first author1
  • middle author14
  • last author2

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.AI1
  • cs.CL1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDeep Learning for Time Series Forecasting: Tutorial and Literature Survey

368 citations · 582 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

stat.ML2022★ 1 cited

Criteria for Classifying Forecasting Methods

Tim Januschowski, Jan Gasthaus, Yuyang Wang +4

Classifying forecasting methods as being either of a "machine learning" or "statistical" nature has become commonplace in parts of the forecasting literature and community, as exem…

cs.LG2022★ 1 cited

Intrinsic Anomaly Detection for Multi-Variate Time Series

Stephan Rabanser, Tim Januschowski, Kashif Rasul +6

We introduce a novel, practically relevant variation of the anomaly detection problem in multi-variate time series: intrinsic anomaly detection. It appears in diverse practical sce…

cs.LG2022

Resilient Neural Forecasting Systems

Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski

Industrial machine learning systems face data challenges that are often under-explored in the academic literature. Common data challenges are data distribution shifts, missing valu…

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