Adler J. Perotte

60 papers A* 3A 2Misc 15Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference. UAI Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
2024	J	`jnl`	Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. CoRR Mert Ketenci, Iñigo Urteaga, Victor Alfonso Rodriguez, Noémie Elhadad, Adler J. Perotte
2023	J	`jnl`	A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
2023	—	`conf`	Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. MLHC Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler J. Perotte
2023	J	`jnl`	Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. CoRR Mert Ketenci, Shreyas Bhave, Noémie Elhadad, Adler J. Perotte
2022	J	`jnl`	Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality. CoRR David Ouyang, John Theurer, Nathan R. Stein, J. Weston Hughes, Pierre A. Elias, Bryan He, Neal Yuan, Grant Duffy, Roopinder K. Sandhu, Joseph Ebinger, Patrick Botting, Melvin Jujjavarapu, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco V. Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert
2021	J	`jnl`	A conceptual framework for external validity. J. Biomed. Informatics Amelia J. Averitt, Patrick B. Ryan, Chunhua Weng, Adler J. Perotte
2021	J	`jnl`	A neuro-symbolic method for understanding free-text medical evidence. J. Am. Medical Informatics Assoc. Tian Kang, Ali Turfah, Jaehyun Kim, Adler J. Perotte, Chunhua Weng
2021	—	`conf`	CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. ML4H@NeurIPS Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan
2021	J	`jnl`	CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. CoRR Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan
2021	J	`jnl`	Causal Estimation with Functional Confounders. CoRR Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	Clinically relevant pretraining is all you need. J. Am. Medical Informatics Assoc. Oliver J. Bear Don't Walk IV, Tony Y. Sun, Adler J. Perotte, Noémie Elhadad
2021	J	`jnl`	Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. Victor Alfonso Rodriguez, Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra Sengupta, Noemie Elhadad, Robert A. Green, Jason S. Adelman, Katherine Schlosser Metitiri, Pierre A. Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte
2021	A*	`conf`	Inverse-Weighted Survival Games. NeurIPS Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	J	`jnl`	Inverse-Weighted Survival Games. CoRR Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
2021	Misc	`conf`	LVHNet: Detecting Cardiac Structural Abnormalities with Chest X-Rays. AMIA Shreyas Bhave, Pierre A. Elias, Victor Alfonso Rodriguez, Timothy Poterucha, Simi Mutasa, Jay Leb, Nir Uriel, Adler J. Perotte
2021	Misc	`conf`	Multi-Channel LSTM for Modeling Irregularly Sampled Time Series. AMIA Shreyas Bhave, Adler J. Perotte
2021	—	`conf`	Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data. MLHC Shreyas Bhave, Adler J. Perotte
2021	J	`jnl`	UMLS-based data augmentation for natural language processing of clinical research literature. J. Am. Medical Informatics Assoc. Tian Kang, Adler J. Perotte, Youlan Tang, Casey N. Ta, Chunhua Weng
2021	J	`jnl`	Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J. Am. Medical Informatics Assoc. Li-heng Fu, Chris Knaplund, Kenrick Cato, Adler J. Perotte, Min-Jeoung Kang, Patricia C. Dykes, David J. Albers, Sarah Collins Rossetti
2021	J	`jnl`	X-CAL: Explicit Calibration for Survival Analysis. CoRR Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2020	Misc	`conf`	Adversarially-Learned Balancing Weights for Causal Inference. AMIA Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
2020	A*	`conf`	Causal Estimation with Functional Confounders. NeurIPS Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2020	Misc	`conf`	Deep Survival Analysis: The Impact of Feature Missingness. AMIA Shreyas Bhave, Xintian Han, Rajesh Ranganath, Adler J. Perotte
2020	J	`jnl`	The Counterfactual χ-GAN. CoRR Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
2020	J	`jnl`	The Counterfactual χ-GAN: Finding comparable cohorts in observational health data. J. Biomed. Informatics Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
2020	J	`jnl`	Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. npj Digit. Medicine Amelia J. Averitt, Chunhua Weng, Patrick B. Ryan, Adler J. Perotte
2020	A*	`conf`	X-CAL: Explicit Calibration for Survival Analysis. NeurIPS Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
2020	—	`conf`	Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. ML4H@NeurIPS Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad
2020	J	`jnl`	Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. CoRR Griffin Adams, Mert Ketenci, Adler J. Perotte, Noemie Elhadad
2019	J	`jnl`	Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. Fernanda C. Polubriaginof, Patrick B. Ryan, Hojjat Salmasian, Andrea W. Shapiro, Adler J. Perotte, Monika M. Safford, George Hripcsak, Shaun Smith, Nicholas P. Tatonetti, David K. Vawdrey
2019	Misc	`conf`	Characterizing the Urban Opioid Epidemic Using EHR Data. AMIA Amelia J. Averitt, Benjamin H. Slovis, Abdul A. Tariq, David K. Vawdrey, Adler J. Perotte
2019	Misc	`conf`	Learning Disease Phenotypes with Semi-Supervision. AMIA Victor Alfonso Rodriguez, Adler J. Perotte
2019	—	`conf`	Phenotype Inference with Semi-Supervised Mixed Membership Models. MLHC Victor Alfonso Rodriguez, Adler J. Perotte
2018	—	`conf`	Deep Survival Analysis: Nonparametrics and Missingness. MLHC Xenia Miscouridou, Adler J. Perotte, Noemie Elhadad, Rajesh Ranganath
2018	Misc	`conf`	Development of a Machine Learning Model for Prediction of Successful Extubation and User-Friendly Implementation for Real-World Use. AMIA Joongheum Park, Hao Shi, Adler J. Perotte
2018	J	`jnl`	Multiple Causal Inference with Latent Confounding. CoRR Rajesh Ranganath, Adler J. Perotte
2018	Misc	`conf`	Noisy-Or Risk Allocation Model for Causal Inference. AMIA Amelia J. Averitt, Adler J. Perotte
2018	J	`jnl`	Phenotype inference with Semi-Supervised Mixed Membership Models. CoRR Victor Alfonso Rodriguez, Adler J. Perotte
2017	Misc	`conf`	Clinical Trial Eligibility Criteria Fail to Meet Burden of Generalizability. AMIA Amelia J. Averitt, Chunhua Weng, Adler J. Perotte
2017	Misc	`conf`	Lessons Learned from the Conversion of MIMIC3 to the OHDSI Common Data Model. AMIA Joongheum Park, Liana Tascau, Adler J. Perotte
2016	Misc	`conf`	A probabilistic model for learning relationships between diagnosis codes and clinical free text. AMIA Adler J. Perotte, Noemie Elhadad
2016	Misc	`conf`	Approaches for using temporal and other filters for next generation phenotype discovery. AMIA David J. Albers, Adler J. Perotte, George Hripcsak
2016	—	`conf`	Deep Survival Analysis. MLHC Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
2016	J	`jnl`	Deep Survival Analysis. CoRR Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
2016	Misc	`conf`	Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records. AMIA Fernanda Polubriaginof, Hojjat Salmasian, Andrea W. Shapiro, Jennifer E. Prey, George Hripcsak, Adler J. Perotte, Nicholas P. Tatonetti, David K. Vawdrey
2016	—	`conf`	Quality of Race and Ethnicity Data in Electronic Health Records. CRI Fernanda Polubriaginof, Mary Regina Boland, Adler J. Perotte, David K. Vawdrey
2016	Misc	`conf`	Standardization of FDA Adverse Event Reporting System to the OHDSI Common Data Model. AMIA Amelia J. Averitt, Adler J. Perotte
2015	Misc	`conf`	Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics. AMIA Mark D. Danese, Erica A. Voss, Jennifer Duryea, Michelle Gleeson, Ryan Duryea, Amy Matcho, Donald O'Hara, William E. Stephens, Adler J. Perotte, Lee Evans, Christian G. Reich
2015	J	`jnl`	Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad
2015	J	`jnl`	Parameterizing time in electronic health record studies. J. Am. Medical Informatics Assoc. George Hripcsak, David J. Albers, Adler J. Perotte
2015	J	`jnl`	Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. J. Am. Medical Informatics Assoc. Adler J. Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad
2015	A	`conf`	The Survival Filter: Joint Survival Analysis with a Latent Time Series. UAI Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
2014	J	`jnl`	Diagnosis code assignment: models and evaluation metrics. J. Am. Medical Informatics Assoc. Adler J. Perotte, Rimma Pivovarov, Karthik Natarajan, Nicole Gray Weiskopf, Frank D. Wood, Noemie Elhadad
2014	—	`ch.`	Mixed Membership Classification for Documents with Hierarchically Structured Labels. Handbook of Mixed Membership Models and Their Applications Frank D. Wood, Adler J. Perotte
2013	J	`jnl`	Temporal Properties of Diagnosis Code Time Series in Aggregate. IEEE J. Biomed. Health Informatics Adler J. Perotte, George Hripcsak
2011	J	`jnl`	Exploiting time in electronic health record correlations. J. Am. Medical Informatics Assoc. George Hripcsak, David J. Albers, Adler J. Perotte
2011	—	`conf`	Hierarchically Supervised Latent Dirichlet Allocation. NIPS Adler J. Perotte, Frank D. Wood, Noemie Elhadad, Nicholas Bartlett
2009	—	`conf`	A Bayesian Analysis of Dynamics in Free Recall. NIPS Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
2005	J	`jnl`	Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. Neural Networks Kenneth A. Norman, Ehren L. Newman, Adler J. Perotte