Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment. - Hossein Kassiri; Sana Tonekaboni; Muhammad Tariqus Salam; Nima Soltani; Karim Abdelhalim; José Luis Pérez Velazquez; Roman Genov (IEEE Trans. Biomed. Circuits Syst., 2017)

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. - Sana Tonekaboni; Mjaye Mazwi; Peter Laussen; Danny Eytan; Robert Greer; Sebastian D. Goodfellow; Andrew J. Goodwin; Michael Brudno; Anna Goldenberg (MLHC, 2018)

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. - Sana Tonekaboni; Shalmali Joshi; Melissa D. McCradden; Anna Goldenberg (MLHC, 2019)

What went wrong and when? Instance-wise feature importance for time-series black-box models. - Sana Tonekaboni; Shalmali Joshi; Kieran Campbell; David Duvenaud; Anna Goldenberg (NeurIPS, 2020)

What went wrong and when? Instance-wise Feature Importance for Time-series Models. - Sana Tonekaboni; Shalmali Joshi; David Duvenaud; Anna Goldenberg (CoRR, 2020)

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. - Sana Tonekaboni; Danny Eytan; Anna Goldenberg (ICLR, 2021)

Decoupling Local and Global Representations of Time Series. - Sana Tonekaboni; Chun-Liang Li; Sercan Ö. Arik; Anna Goldenberg; Tomas Pfister (AISTATS, 2022)

How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. - Sana Tonekaboni; Gabriela Morgenshtern; Azadeh Assadi; Aslesha Pokhrel; Xi Huang; Anand Jayarajan; Robert Greer; Gennady Pekhimenko; Melissa D. McCradden; Mjaye Mazwi; Anna Goldenberg (CHIL, 2022)

Learning Unsupervised Representations for ICU Timeseries. - Addison Weatherhead; Robert Greer; Michael-Alice Moga; Mjaye Mazwi; Danny Eytan; Anna Goldenberg; Sana Tonekaboni (CHIL, 2022)

Time-Varying Correlation Networks for Interpretable Change Point Detection. - Kopal Garg; Sana Tonekaboni; Anna Goldenberg (CoRR, 2022)

Dynamic Interpretable Change Point Detection for Physiological Data Analysis. - Jennifer Yu; Tina Behrouzi; Kopal Garg; Anna Goldenberg; Sana Tonekaboni (ML4H@NeurIPS, 2023)

RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. - Gabriela Morgenshtern; Arnav Verma; Sana Tonekaboni; Robert Greer; Jürgen Bernard; Mjaye Mazwi; Anna Goldenberg; Fanny Chevalier (EuroVis (Short Papers), 2023)

Modeling personalized heart rate response to exercise and environmental factors with wearables data. - Achille Nazaret; Sana Tonekaboni; Gregory Darnell; Shirley You Ren; Guillermo Sapiro; Andrew C. Miller (npj Digit. Medicine, 2023)

Encoding the Underlying Dynamics of Complex Time Series With a Focus on Healthcare Applications - Sana Tonekaboni (2023)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Learning from Time Series under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (CoRR, 2024)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. - Dimitris Spathis; Aaqib Saeed; Ali Etemad; Sana Tonekaboni; Stefanos Laskaridis; Shohreh Deldari; Chi Ian Tang; Patrick Schwab; Shyam A. Tailor (CoRR, 2024)

The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations. - Yoanna Turura; Sam Freesun Friedman; Aurora Cremer; Mahnaz Maddah; Sana Tonekaboni (CHIL, 2025)

Learning under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (ICLR, 2025)

An Information Criterion for Controlled Disentanglement of Multimodal Data. - Chenyu Wang 003; Sharut Gupta; Xinyi Zhang; Sana Tonekaboni; Stefanie Jegelka; Tommi S. Jaakkola; Caroline Uhler (ICLR, 2025)

HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery. - Sana Tonekaboni; Tina Behrouzi; Addison Weatherhead; Emily B. Fox; David M. Blei; Anna Goldenberg (UAI, 2025)

Machine Learning for Health symposium 2024 - Findings track. - Stefan Hegselmann; Helen Zhou; Elizabeth Healey; Trenton Chang; Caleb Ellington; Vishwali Mhasawade; Sana Tonekaboni; Peniel N. Argaw; Haoran Zhang 003 (CoRR, 2025)

When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. - Yuxin Xiao; Sana Tonekaboni; Walter Gerych; Vinith M. Suriyakumar; Marzyeh Ghassemi (CoRR, 2025)

DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection. - Tina Behrouzi; Sana Tonekaboni; Rahul G. Krishnan; Anna Goldenberg (CoRR, 2025)