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researcher

Michael Schrödl-Baumann

2 papers hereh-index 26 citations2 works total

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
  • quant-ph2

identity via Semantic Scholar / OpenAlex

most citedQuantum Autoencoder for Multivariate Time Series Anomaly Detection

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

quant-ph2026★ 5 cited

Quantum Autoencoder for Multivariate Time Series Anomaly Detection

Kilian Tscharke, Maximilian Wendlinger, Afrae Ahouzi +4

Anomaly Detection (AD) defines the task of identifying observations or events that deviate from typical - or normal - patterns, a critical capability in IT security for recognizing…

quant-ph2024

Benchmarking Quantum Models for Time-series Forecasting

Caitlin Jones, Nico Kraus, Pallavi Bhardwaj +3

Time series forecasting is a valuable tool for many applications, such as stock price predictions, demand forecasting or logistical optimization. There are many well-established st…

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