21 citations · 27 across the 12 of their papers we have counts for
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cs.LG2025
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim, Frank Ortmeier
Out-of-distribution (OOD) detection is essential for ensuring the reliability of deep learning models operating in open-world scenarios. Current OOD detectors mainly rely on statis…
cs.LG2022★ 2 cited
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim, Tim Gonschorek, Frank Ortmeier
Deep Neural Networks for classification behave unpredictably when confronted with inputs not stemming from the training distribution. This motivates out-of-distribution detection (…