Tomani, Christian

5 publications

ICML 2023 Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers

ECCV 2022 Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration Christian Tomani, Daniel Cremers, Florian Buettner

NeurIPS 2022 What Makes Graph Neural Networks Miscalibrated? Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers

CVPR 2021 Post-Hoc Uncertainty Calibration for Domain Drift Scenarios Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner

AAAI 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration Christian Tomani, Florian Buettner