Christian Tomani

14 papers A* 4Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
ACL (1)
Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers
2024 J jnl
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations.
CoRR
Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim
2023 A* conf
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
ICML
Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers
2023 J jnl
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
CoRR
Christian Tomani, Futa Waseda, Yuesong Shen, Daniel Cremers
2023 J jnl
Quality Control at Your Fingertips: Quality-Aware Translation Models.
CoRR
Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers
2022 J jnl
CHALLENGER: Training with Attribution Maps.
CoRR
Christian Tomani, Daniel Cremers
2022 — conf
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.
ECCV (13)
Christian Tomani, Daniel Cremers, Florian Buettner
2022 A* conf
What Makes Graph Neural Networks Miscalibrated?
NeurIPS
Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2022 J jnl
What Makes Graph Neural Networks Miscalibrated?
CoRR
Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2021 J jnl
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.
CoRR
Christian Tomani, Daniel Cremers, Florian Buettner
2021 A* conf
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios.
CVPR
Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2021 A* conf
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.
AAAI
Christian Tomani, Florian Buettner
2020 J jnl
Post-hoc Uncertainty Calibration for Domain Drift Scenarios.
CoRR
Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
2020 J jnl
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.
CoRR
Christian Tomani, Florian Buettner