%0 Conference Paper %1 schwinn2021identifying %A Schwinn, Leo %A Nguyen, An %A Raab, René %A Bungert, Leon %A Tenbrinck, Daniel %A Zanca, Dario %A Burger, Martin %A Eskofier, Bjoern %B Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence %D 2021 %E de Campos, Cassio %E Maathuis, Marloes H. %I PMLR %K chapter imported %P 854--864 %T Identifying untrustworthy predictions in neural networks by geometric gradient analysis %V 161

@inproceedings{schwinn2021identifying, added-at = {2023-07-27T10:31:18.000+0200}, author = {Schwinn, Leo and Nguyen, An and Raab, Ren\'e and Bungert, Leon and Tenbrinck, Daniel and Zanca, Dario and Burger, Martin and Eskofier, Bjoern}, biburl = {https://www.bibsonomy.org/bibtex/279d81bc40766de91283d7f2da60b6fe6/l_bungert}, booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence}, editor = {de Campos, Cassio and Maathuis, Marloes H.}, interhash = {9f28d16e28a1014e268c404d4fb9149e}, intrahash = {79d81bc40766de91283d7f2da60b6fe6}, keywords = {chapter imported}, month = {27--30 Jul}, pages = {854--864}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2023-08-29T13:23:24.000+0200}, title = {Identifying untrustworthy predictions in neural networks by geometric gradient analysis}, volume = 161, year = 2021 }