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Julia Niebling

10 papers hereh-index 10350 citations30 works total

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

author position
  • middle author4
  • last author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedIs it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series

54 citations · 56 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024

Exploiting Text-Image Latent Spaces for the Description of Visual Concepts

Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler +1

Concept Activation Vectors (CAVs) offer insights into neural network decision-making by linking human friendly concepts to the model's internal feature extraction process. However,…

cs.LG2024

Functional Tensor Decompositions for Physics-Informed Neural Networks

Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling +1

Physics-Informed Neural Networks (PINNs) have shown continuous and increasing promise in approximating partial differential equations (PDEs), although they remain constrained by th…

cs.LG2024★ 1 cited

Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry

Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling +1

The detection of abnormal or critical system states is essential in condition monitoring. While much attention is given to promptly identifying anomalies, a retrospective analysis…

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