Tonekaboni, Sana

15 publications

ICLR 2025 An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, Caroline Uhler

NeurIPS 2025 An Investigation of Memorization Risk in Healthcare Foundation Models Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi

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

ICLR 2025 Learning Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

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

NeurIPSW 2024 An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, Caroline Uhler

NeurIPSW 2024 Time Series Under Temporal Label Noise Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen

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

CHIL 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 McCradden, Fanny Chevalier, 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

NeurIPSW 2022 Modeling Heart Rate Response to Exercise with Wearables Data Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley Ren, Guillermo Sapiro, Andrew Miller

ICLR 2021 Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding Sana Tonekaboni, Danny Eytan, Anna Goldenberg

NeurIPS 2020 What Went Wrong and When? Instance-Wise Feature Importance for Time-Series Black-Box Models Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David K. Duvenaud, Anna Goldenberg

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

MLHC 2018 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 Goodwin, Michael Brudno, Anna Goldenberg