Building calibrated deep models via uncertainty matching with auxiliary interval predictors JJ Thiagarajan, B Venkatesh, P Sattigeri, PT Bremer Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6005-6012, 2020 | 32 | 2020 |
Designing accurate emulators for scientific processes using calibration-driven deep models JJ Thiagarajan, B Venkatesh, R Anirudh, PT Bremer, J Gaffney, ... Nature Communications 11 (1), 5622, 2020 | 27 | 2020 |
Calibrating healthcare ai: Towards reliable and interpretable deep predictive models JJ Thiagarajan, P Sattigeri, D Rajan, B Venkatesh arXiv preprint arXiv:2004.14480, 2020 | 23 | 2020 |
Improving reliability of clinical models using prediction calibration JJ Thiagarajan, B Venkatesh, D Rajan, P Sattigeri Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 14 | 2020 |
Use of hierarchical Dirichlet processes to integrate dependent observations from multiple disparate sensors for tracking B Moraffah, C Brito, B Venkatesh, A Papandreou-Suppappola 2019 22th International Conference on Information Fusion (FUSION), 1-7, 2019 | 14 | 2019 |
Calibrate and prune: Improving reliability of lottery tickets through prediction calibration B Venkatesh, JJ Thiagarajan, K Thopalli, P Sattigeri arXiv preprint arXiv:2002.03875, 2020 | 12 | 2020 |
Tracking multiple objects with multimodal dependent measurements: Bayesian nonparametric modeling B Moraffah, C Brito, B Venkatesh, A Papandreou-Suppappola 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1847-1851, 2019 | 10 | 2019 |
Learn-by-calibrating: Using calibration as a training objective JJ Thiagarajan, B Venkatesh, D Rajan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
Heteroscedastic calibration of uncertainty estimators in deep learning B Venkatesh, JJ Thiagarajan arXiv preprint arXiv:1910.14179, 2019 | 8 | 2019 |
Ask-n-learn: Active learning via reliable gradient representations for image classification B Venkatesh, JJ Thiagarajan arXiv preprint arXiv:2009.14448, 2020 | 6 | 2020 |
Uncertainty Quantification in Scientific ML JJ Thiagarajan, R Anirudh, PT Bremer, B Venkatesh Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020 | | 2020 |