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researcher

N. Hochgeschwender

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedMaximum Likelihood Uncertainty Estimation: Robustness to Outliers

9 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 9 cited

Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Mendez

We benchmark the robustness of maximum likelihood based uncertainty estimation methods to outliers in training data for regression tasks. Outliers or noisy labels in training data…

cs.RO2021

Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation

Salman Omar Sohail, Alex Mitrevski, Nico Hochgeschwender +1

An important prerequisite for the reliability and robustness of a service robot is ensuring the robot's correct behavior when it performs various tasks of interest. Extensive testi…

cs.CV2020★ 7 cited

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger +2

Deep learning models are extensively used in various safety critical applications. Hence these models along with being accurate need to be highly reliable. One way of achieving thi…

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