Improved predictive uncertainty using corruption-based calibration T Salvador, V Voleti, A Iannantuono, A Oberman stat 1050 (7), 3, 2021 | 7 | 2021 |
Optimization with regularization to create sensible vertical alignments in road design A Iannantuono, W Hare, Y Lucet Decision Analytics Journal 6, 100183, 2023 | 3 | 2023 |
No-collision transportation maps L Nurbekyan, A Iannantuono, AM Oberman Journal of Scientific Computing 82 (2), 45, 2020 | 3 | 2020 |
Controlling waviness of the quasi-network flow model in road design AF Iannantuono University of British Columbia, 2022 | 1 | 2022 |
Frustratingly easy uncertainty estimation for distribution shift T Salvador, V Voleti, A Iannantuono, A Oberman arXiv preprint arXiv:2106.03762, 2021 | 1 | 2021 |
Calibrated Top-1 Uncertainty estimates for classification by score based models AM Oberman, C Finlay, A Iannantuono, T Salvador arXiv preprint arXiv:1903.09215, 2019 | 1 | 2019 |
An Exposé on Surrogate Problems in Mathematical Optimization A Iannantuono | | 2020 |
Uncertainty for deep image classifiers on out of distribution data. T Salvador, A Iannantuono, AM Oberman | | 2020 |
ALangevin DYNAMICS APPROACH TO GENERATING SPARSE ADVERSARIAL PERTURBATIONS AA Pooladian, A Iannantuono, C Finlay, A Oberman | | |