Sana Tonekaboni

31 papers A* 4A 2Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning. npj Digit. Medicine Sana Tonekaboni, Sam Freesun Friedman, Xinyi Zhang, Mahnaz Maddah, Caroline Uhler
2025	A*	`conf`	An Information Criterion for Controlled Disentanglement of Multimodal Data. ICLR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2025	J	`jnl`	An Investigation of Memorization Risk in Healthcare Foundation Models. CoRR Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi
2025	J	`jnl`	DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection. CoRR Tina Behrouzi, Sana Tonekaboni, Rahul G. Krishnan, Anna Goldenberg
2025	A	`conf`	HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery. UAI Sana Tonekaboni, Tina Behrouzi, Addison Weatherhead, Emily B. Fox, David M. Blei, Anna Goldenberg
2025	A*	`conf`	Learning under Temporal Label Noise. ICLR Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
2025	J	`jnl`	Machine Learning for Health symposium 2024 - Findings track. CoRR Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2025	—	`conf`	The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations. CHIL Yoanna Turura, Sam Freesun Friedman, Aurora Cremer, Mahnaz Maddah, Sana Tonekaboni
2025	J	`jnl`	When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. CoRR Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith M. Suriyakumar, Marzyeh Ghassemi
2024	J	`jnl`	A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam A. Tailor
2024	J	`jnl`	An Information Criterion for Controlled Disentanglement of Multimodal Data. CoRR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2024	J	`jnl`	Learning from Time Series under Temporal Label Noise. CoRR Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2024, Vancouver, Canada, 15-16 December 2024. ML4H@NeurIPS Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2023	—	`conf`	Dynamic Interpretable Change Point Detection for Physiological Data Analysis. ML4H@NeurIPS Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni
2023	—	`—`	Encoding the Underlying Dynamics of Complex Time Series With a Focus on Healthcare Applications Sana Tonekaboni
2023	J	`jnl`	Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digit. Medicine Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller
2023	—	`conf`	RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. EuroVis (Short Papers) Gabriela Morgenshtern, Arnav Verma, Sana Tonekaboni, Robert Greer, Jürgen Bernard, Mjaye Mazwi, Anna Goldenberg, Fanny Chevalier
2022	A	`conf`	Decoupling Local and Global Representations of Time Series. AISTATS Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022	J	`jnl`	Decoupling Local and Global Representations of Time Series. CoRR Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022	—	`conf`	How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg
2022	—	`conf`	Learning Unsupervised Representations for ICU Timeseries. CHIL Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni
2022	J	`jnl`	Time-Varying Correlation Networks for Interpretable Change Point Detection. CoRR Kopal Garg, Sana Tonekaboni, Anna Goldenberg
2021	A*	`conf`	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR Sana Tonekaboni, Danny Eytan, Anna Goldenberg
2021	J	`jnl`	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR Sana Tonekaboni, Danny Eytan, Anna Goldenberg
2020	J	`jnl`	What went wrong and when? Instance-wise Feature Importance for Time-series Models. CoRR Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg
2020	A*	`conf`	What went wrong and when? Instance-wise feature importance for time-series black-box models. NeurIPS Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David Duvenaud, Anna Goldenberg
2019	—	`conf`	What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. MLHC Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
2019	J	`jnl`	What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. CoRR Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
2018	—	`conf`	Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg
2017	J	`jnl`	Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment. IEEE Trans. Biomed. Circuits Syst. Hossein Kassiri, Sana Tonekaboni, Muhammad Tariqus Salam, Nima Soltani, Karim Abdelhalim, José Luis Pérez Velazquez, Roman Genov