Publications

(2026). Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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(2026). LVLM-Aided Alignment of Task-Specific Vision Models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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(2026). From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty. Proceedings of the AISTATS 2026 Workshop: Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI.

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(2026). FedAgree: Label-Free Performance Estimation under Distribution Shift for Federated Medical Analysis. The 29th International Conference on Medical Image Computing and Computer Assisted Intervention.

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(2025). Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics.

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(2023). Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. International Conference on Artificial Intelligence and Statistics.

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(2023). Deep Learning Model for Video-Classification of Echocardiography Images. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

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