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Bindya Venkatesh
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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
312020
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
252020
Calibrating healthcare ai: Towards reliable and interpretable deep predictive models
JJ Thiagarajan, P Sattigeri, D Rajan, B Venkatesh
arXiv preprint arXiv:2004.14480, 2020
232020
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
132020
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
132019
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
102020
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
102019
Heteroscedastic calibration of uncertainty estimators in deep learning
B Venkatesh, JJ Thiagarajan
arXiv preprint arXiv:1910.14179, 2019
82019
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
72020
Ask-n-learn: Active learning via reliable gradient representations for image classification
B Venkatesh, JJ Thiagarajan
arXiv preprint arXiv:2009.14448, 2020
62020
Uncertainty Quantification in Scientific ML
JJ Thiagarajan, R Anirudh, PT Bremer, B Venkatesh
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
2020
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