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researcher

Maja R. Rudolph

17 papers hereh-index 171.5k citations30 works total

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

author position
  • first author4
  • middle author6
  • last author7

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

fields
  • cs.LG11
  • stat.ML3
  • cs.CL2
  • stat.CO1

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedEdward: A library for probabilistic modeling, inference, and criticism

223 citations · 396 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 1 cited

Raising the Bar in Graph-level Anomaly Detection

Chen Qiu, Marius Kloft, Stephan Mandt +1

Graph-level anomaly detection has become a critical topic in diverse areas, such as financial fraud detection and detecting anomalous activities in social networks. While most rese…

cs.LG2022★ 9 cited

Complex-Valued Autoencoders for Object Discovery

Sindy Löwe, Phillip Lippe, Maja Rudolph +1

Object-centric representations form the basis of human perception, and enable us to reason about the world and to systematically generalize to new settings. Currently, most works o…

cs.LG2022★ 8 cited

Detecting Anomalies within Time Series using Local Neural Transformations

Tim Schneider, Chen Qiu, Marius Kloft +4

We develop a new method to detect anomalies within time series, which is essential in many application domains, reaching from self-driving cars, finance, and marketing to medical d…

cs.LG2022★ 17 cited

Latent Outlier Exposure for Anomaly Detection with Contaminated Data

Chen Qiu, Aodong Li, Marius Kloft +2

Anomaly detection aims at identifying data points that show systematic deviations from the majority of data in an unlabeled dataset. A common assumption is that clean training data…

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