publications
publications reversed chronological order. * incidates co-first authorship.
2025
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"What is Different Between These Datasets?" A Framework for Explaining Data Distribution ShiftsJournal of Machine Learning Research, 2025 -
Rashomon sets for prototypical-part networks: Editing interpretable models in real-timeProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
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Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine LearningNEJM AI, 2024 -
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionHarvard Data Science Review, 2024 -
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsIEEE Journal of Biomedical and Health Informatics, 2024 -
Sparse learned kernels for interpretable and efficient medical time series processingNature Machine Intelligence, 2024 -
SiamQuality: a ConvNet-based foundation model for photoplethysmography signalsPhysiological Measurement, 2024 -
Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral ReactivationGenomics, Proteomics & Bioinformatics, 2024
2021
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A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearablesPhysiological Measurement, 2021
