2 citations · 2 across the 2 of their papers we have counts for
2 papers
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 (…
math.OC2019
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery
Janine Matschek, Tim Gonschorek, Magnus Hanses +3
One of the key benefits of model predictive control is the capability of controlling a system proactively in the sense of taking the future system evolution into account. However,…