Robustness Beyond Known Groups with Low-rank Adaptation.

Collin M. Stultz

Abinitha Gourabathina Hyewon Jeong Teya S. Bergamaschi Marzyeh Ghassemi Collin M. Stultz Robustness Beyond Known Groups with Low-rank Adaptation. 2026 February abs/2602.06924 CoRR https://doi.org/10.48550/arXiv.2602.06924 db/journals/corr/corr2602.html#abs-2602-06924 streams/journals/corr

Zachary Berger Daniel Prakah-Asante John V. Guttag Collin M. Stultz Position: Evaluation of ECG Representations Must Be Fixed. 2026 February abs/2602.17531 CoRR https://doi.org/10.48550/arXiv.2602.17531 db/journals/corr/corr2602.html#abs-2602-17531 streams/journals/corr

Teya S. Bergamaschi Collin M. Stultz Ridwan Alam Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI. 1-4 2024 BSN https://doi.org/10.1109/BSN63547.2024.10780740 conf/bsn/2024 db/conf/bsn/bsn2024.html#BergamaschiSA24 Teya S. Bergamaschi Collin M. Stultz Ridwan Alam Continuity Contrastive Representations of ECG for Heart Block Detection from Only Lead-I. 130-142 2024 ML4H@NeurIPS https://proceedings.mlr.press/v259/bergamaschi25a.html conf/ml4h/2024 db/conf/ml4h/ml4h2024.html#BergamaschiSA24 streams/conf/ml4h Nassim Oufattole Hyewon Jeong Matthew B. A. McDermott Aparna Balagopalan Bryan Jangeesingh Marzyeh Ghassemi Collin M. Stultz Event-Based Contrastive Learning for Medical Time Series. 2024 MLHC https://proceedings.mlr.press/v252/oufattole24a.html conf/mlhc/2024 db/conf/mlhc/mlhc2024.html#OufattoleJMBJGS24 streams/conf/mlhc

Ridwan Alam Aaron D. Aguirre Collin M. Stultz Detecting QT prolongation From a Single-lead ECG With Deep Learning. 2024 abs/2401.05378 CoRR https://doi.org/10.48550/arXiv.2401.05378 db/journals/corr/corr2401.html#abs-2401-05378

Ridwan Alam Collin M. Stultz Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. 2024 abs/2408.15272 CoRR https://doi.org/10.48550/arXiv.2408.15272 db/journals/corr/corr2408.html#abs-2408-15272 streams/journals/corr

Nassim Oufattole Teya S. Bergamaschi Aleksia Kolo Hyewon Jeong Hanna Gaggin Collin M. Stultz Matthew B. A. McDermott MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. 2024 abs/2411.00200 CoRR https://doi.org/10.48550/arXiv.2411.00200 db/journals/corr/corr2411.html#abs-2411-00200 streams/journals/corr

Ridwan Alam Aaron D. Aguirre Collin M. Stultz QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. 1-4 2023 EMBC https://doi.org/10.1109/EMBC40787.2023.10341204 conf/embc/2023 db/conf/embc/embc2023.html#AlamAS23 Aniruddh Raghu Payal Chandak Ridwan Alam John V. Guttag Collin M. Stultz Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. 28531-28548 2023 ICML https://proceedings.mlr.press/v202/raghu23a.html conf/icml/2023 db/conf/icml/icml2023.html#RaghuCAGS23 Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. 321-342 2023 MLHC https://proceedings.mlr.press/v219/jeong23a.html conf/mlhc/2023 db/conf/mlhc/mlhc2023.html#JeongSG23

Aniruddh Raghu Payal Chandak Ridwan Alam John V. Guttag Collin M. Stultz Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. 2023 abs/2307.10923 CoRR https://doi.org/10.48550/arXiv.2307.10923 db/journals/corr/corr2307.html#abs-2307-10923

Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. 2023 abs/2308.04650 CoRR https://doi.org/10.48550/arXiv.2308.04650 db/journals/corr/corr2308.html#abs-2308-04650

Hyewon Jeong Nassim Oufattole Aparna Balagopalan Matthew B. A. McDermott Payal Chandak Marzyeh Ghassemi Collin M. Stultz Event-Based Contrastive Learning for Medical Time Series. 2023 abs/2312.10308 CoRR https://doi.org/10.48550/arXiv.2312.10308 db/journals/corr/corr2312.html#abs-2312-10308

Nathaniel Diamant Erik Reinertsen Steven Song Aaron D. Aguirre Collin M. Stultz Puneet Batra Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling. 2022 18 PLoS Comput. Biol. 2 https://doi.org/10.1371/journal.pcbi.1009862 https://www.wikidata.org/entity/Q113308734 db/journals/ploscb/ploscb18.html#DiamantRSASB22

Uri Kartoun Paul Myers 0002 Kristen A. Severson Wangzhi Dai Kenney Ng Collin M. Stultz Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. 2022 AMIA https://knowledge.amia.org/76677-amia-1.4637602/f007-1.4641746/f007-1.4641747/580-1.4642000/269-1.4641997 conf/amia/2022 db/conf/amia/amia2022.html#KartounMSDNS22 Aniruddh Raghu Divya Shanmugam Eugene Pomerantsev John V. Guttag Collin M. Stultz Data Augmentation for Electrocardiograms. 282-310 2022 CHIL https://proceedings.mlr.press/v174/raghu22a.html conf/chil/2022 db/conf/chil/chil2022.html#RaghuSPGS22

Aniruddh Raghu Divya Shanmugam Eugene Pomerantsev John V. Guttag Collin M. Stultz Data Augmentation for Electrocardiograms. 2022 abs/2204.04360 CoRR https://doi.org/10.48550/arXiv.2204.04360 db/journals/corr/corr2204.html#abs-2204-04360

Aniruddh Raghu John V. Guttag Katherine Young Eugene Pomerantsev Adrian V. Dalca Collin M. Stultz Learning to predict with supporting evidence: applications to clinical risk prediction. 95-104 2021 CHIL https://doi.org/10.1145/3450439.3451869 conf/chil/2021 db/conf/chil/chil2021.html#RaghuGYPDS21

Aniruddh Raghu John V. Guttag Katherine Young Eugene Pomerantsev Adrian V. Dalca Collin M. Stultz Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. 2021 abs/2103.02768 CoRR https://arxiv.org/abs/2103.02768 db/journals/corr/corr2103.html#abs-2103-02768

Nathaniel Diamant Erik Reinertsen Steven Song Aaron D. Aguirre Collin M. Stultz Puneet Batra Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling. 2021 abs/2104.04569 CoRR https://arxiv.org/abs/2104.04569 db/journals/corr/corr2104.html#abs-2104-04569

Paul D. Myers Kenney Ng Kristen A. Severson Uri Kartoun Wangzhi Dai Wei Huang Fred Anderson Collin M. Stultz Identifying unreliable predictions in clinical risk models. 2020 3 npj Digit. Medicine https://doi.org/10.1038/s41746-019-0209-7 https://www.wikidata.org/entity/Q93017334 db/journals/npjdm/npjdm3.html#MyersNSKDHAS20

Wangzhi Dai Collin M. Stultz Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. 41-52 2020 ML4H@NeurIPS http://proceedings.mlr.press/v136/dai20a.html conf/nips/2020ml4h db/conf/nips/ml4h2020.html#DaiS20a Wangzhi Dai Kenney Ng Kristen A. Severson Wei Huang Fred Anderson Collin M. Stultz Generative Oversampling with a Contrastive Variational Autoencoder. 101-109 2019 ICDM https://doi.org/10.1109/ICDM.2019.00020 conf/icdm/2019 db/conf/icdm/icdm2019.html#DaiNSHAS19

Zachary Ziegler Molly Schmidt Thomas Gurry Virginia Burger Collin M. Stultz Mollack: a web server for the automated creation of conformational ensembles for intrinsically disordered proteins. 2545-2547 2016 32 Bioinform. 16 https://doi.org/10.1093/bioinformatics/btw200 https://www.wikidata.org/entity/Q39788303 db/journals/bioinformatics/bioinformatics32.html#ZieglerSGBS16

Yun Liu 0013 Collin M. Stultz John V. Guttag Kun-Ta Chuang Fu-Wen Liang Huey-Jen Su Transferring Knowledge from Text to Predict Disease Onset. 150-163 2016 MLHC http://proceedings.mlr.press/v56/Liu16.html conf/mlhc/2016 db/conf/mlhc/mlhc2016.html#LiuSGCCLS16

Yun Liu 0013 Kun-Ta Chuang Fu-Wen Liang Huey-Jen Su Collin M. Stultz John V. Guttag Transferring Knowledge from Text to Predict Disease Onset. 2016 abs/1608.02071 CoRR http://arxiv.org/abs/1608.02071 db/journals/corr/corr1608.html#LiuCLSSG16

Charles K. Fisher Orly Ullman Collin M. Stultz Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations. 82-93 2012 Pacific Symposium on Biocomputing http://psb.stanford.edu/psb-online/proceedings/psb12/fisher.pdf conf/psb/2012 db/conf/psb/psb2012.html#FisherUS12

Zeeshan Syed Collin M. Stultz Manolis Kellis Piotr Indyk John V. Guttag Motif discovery in physiological datasets: A methodology for inferring predictive elements. 2010 4 ACM Trans. Knowl. Discov. Data 1 https://doi.org/10.1145/1644873.1644875 https://www.wikidata.org/entity/Q41904319 db/journals/tkdd/tkdd4.html#SyedSKIG10 2:1-2:23

Christian R. Schubert Collin M. Stultz The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design. 475-489 2009 23 J. Comput. Aided Mol. Des. 8 https://doi.org/10.1007/s10822-009-9287-y https://www.wikidata.org/entity/Q33464348 db/journals/jcamd/jcamd23.html#SchubertS09

Austin Huang Collin M. Stultz The Effect of a ΔK280 Mutation on the Unfolded State of a Microtubule-Binding Repeat in Tau. 2008 4 PLoS Comput. Biol. 8 https://doi.org/10.1371/journal.pcbi.1000155 https://www.wikidata.org/entity/Q28473391 db/journals/ploscb/ploscb4.html#HuangS08

Zeeshan Syed John V. Guttag Collin M. Stultz Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. 2007 2007 EURASIP J. Adv. Signal Process. https://doi.org/10.1155/2007/67938 https://www.wikidata.org/entity/Q59215227 db/journals/ejasp/ejasp2007.html#SyedGS07

Aaron D. Aguirre Ridwan Alam Fred Anderson Aparna Balagopalan Puneet Batra Teya S. Bergamaschi Zachary Berger Virginia Burger Payal Chandak Kun-Ta Chuang Wangzhi Dai Adrian V. Dalca Nathaniel Diamant Charles K. Fisher Hanna Gaggin Marzyeh Ghassemi Abinitha Gourabathina Thomas Gurry John V. Guttag Austin Huang Wei Huang Piotr Indyk Bryan Jangeesingh Hyewon Jeong Uri Kartoun Manolis Kellis Aleksia Kolo Fu-Wen Liang Yun Liu 0013 Matthew B. A. McDermott Paul D. MyersPaul Myers 0002 Kenney Ng Nassim Oufattole Eugene Pomerantsev Daniel Prakah-Asante Aniruddh Raghu Erik Reinertsen Molly Schmidt Christian R. Schubert Kristen A. Severson Divya Shanmugam Steven Song Huey-Jen Su Zeeshan Syed Orly Ullman Katherine Young Zachary Ziegler