Tracking Multiple Objects with Multimodal Dependent Measurements: Bayesian Nonparametric Modeling. - Bahman Moraffah; Cesar Brito; Bindya Venkatesh; Antonia Papandreou-Suppappola (ACSSC, 2019)

Use of Hierarchical Dirichlet Processes to Integrate Dependent Observations From Multiple Disparate Sensors for Tracking. - Bahman Moraffah; Cesar Brito; Bindya Venkatesh; Antonia Papandreou-Suppappola (FUSION, 2019)

Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning. - Bindya Venkatesh; Jayaraman J. Thiagarajan (CoRR, 2019)

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. - Jayaraman J. Thiagarajan; Bindya Venkatesh; Prasanna Sattigeri; Peer-Timo Bremer (AAAI, 2020)

Learn-By-Calibrating: Using Calibration As A Training Objective. - Jayaraman J. Thiagarajan; Bindya Venkatesh; Deepta Rajan (ICASSP, 2020)

Improving Reliability of Clinical Models Using Prediction Calibration. - Jayaraman J. Thiagarajan; Bindya Venkatesh; Deepta Rajan; Prasanna Sattigeri (UNSURE/GRAIL@MICCAI, 2020)

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration. - Bindya Venkatesh; Jayaraman J. Thiagarajan; Kowshik Thopalli; Prasanna Sattigeri (CoRR, 2020)

Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models. - Jayaraman J. Thiagarajan; Prasanna Sattigeri; Deepta Rajan; Bindya Venkatesh (CoRR, 2020)

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models. - Jayaraman J. Thiagarajan; Bindya Venkatesh; Rushil Anirudh; Peer-Timo Bremer; Jim Gaffney; Gemma Anderson; Brian K. Spears (CoRR, 2020)

Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification. - Bindya Venkatesh; Jayaraman J. Thiagarajan (CoRR, 2020)