Guttag, John

33 publications

NeurIPS 2025 Evaluating Multiple Models Using Labeled and Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

CVPR 2025 MultiMorph: On-Demand Atlas Construction S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John Guttag, Adrian Dalca

ICCV 2025 MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag, Adrian V. Dalca

NeurIPS 2025 Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains Marianne Rakic, Siyu Gai, Etienne Chollet, John Guttag, Adrian V Dalca

CVPR 2025 Test-Time Augmentation Improves Efficiency in Conformal Prediction Divya Shanmugam, Helen Lu, Swami Sankaranarayanan, John Guttag

ICLR 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Katie Matton, Robert Ness, John Guttag, Emre Kiciman

ICLR 2024 Magnitude Invariant Parametrizations Improve Hypernetwork Learning Jose Javier Gonzalez Ortiz, John Guttag, Adrian V Dalca

ICLRW 2024 Multi-Model Evaluation with Labeled & Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

ECCV 2024 ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V. Dalca

MLHC 2023 Coarse Race Data Conceals Disparities in Clinical Risk Score Performance Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson

CHIL 2023 Contrastive Learning of Electrodermal Activity Representations for Stress Detection Katie Matton, Robert Lewis, John Guttag, Rosalind Picard

NeurIPSW 2023 Improving Domain Generalization in Contrastive Learning Using Domain-Aware Temperature Control Robert A Lewis, Katie Matton, Rosalind Picard, John Guttag

ICML 2023 Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz

ICCV 2023 UniverSeg: Universal Medical Image Segmentation Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

NeurIPSW 2022 At the Intersection of Conceptual Art and Deep Learning: The End of Signature Kathleen M Lewis, Divya M Shanmugam, Jose Javier Gonzalez Ortiz, Agnieszka Kurant, John Guttag

NeurIPSW 2022 Conditional Contrastive Networks Emily Mu, John Guttag

NeurIPSW 2022 Contrastive Learning of Electrodermal Activity Representations for Stress Detection Katie Matton, Robert A Lewis, John Guttag, Rosalind Picard

NeurIPSW 2022 Contrastive Pre-Training for Multimodal Medical Time Series Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz

CHIL 2022 Data Augmentation for Electrocardiograms Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John Guttag, Collin M Stultz

ICCV 2021 Better Aggregation in Test-Time Augmentation Divya Shanmugam, Davis Blalock, Guha Balakrishnan, John Guttag

ICML 2021 Exploiting Structured Data for Learning Contagious Diseases Under Incomplete Testing Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John Guttag

ICML 2021 Multiplying Matrices Without Multiplying Davis Blalock, John Guttag

ICML 2020 Estimation of Bounds on Potential Outcomes for Decision Making Maggie Makar, Fredrik Johansson, John Guttag, David Sontag

NeurIPS 2019 Learning Conditional Deformable Templates with Convolutional Networks Adrian Dalca, Marianne Rakic, John Guttag, Mert Sabuncu

MLHC 2019 Multiple Instance Learning for ECG Risk Stratification Divya Shanmugam, Davis Blalock, John Guttag

MLHC 2017 A Video-Based Method for Automatically Rating Ataxia Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Fredo Durand, John Guttag

JMLR 2016 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach Jenna Wiens, John Guttag, Eric Horvitz

MLHC 2016 Transferring Knowledge from Text to Predict Disease Onset Yun Liu, Collin Stultz, John Guttag, Kun-Ta Chuang, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su

MLHC 2016 Uncovering Voice Misuse Using Symbolic Mismatch Marzyeh Ghassemi, Zeeshan Syed, Daryush Mehta, Jarrad Van Stan, Robert Hillman, John Guttag

CVPR 2013 Detecting Pulse from Head Motions in Video Guha Balakrishnan, Fredo Durand, John Guttag

ICML 2013 Learning Connections in Financial Time Series Gartheeban Ganeshapillai, John Guttag, Andrew Lo

JMLR 2011 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data Zeeshan Syed, John Guttag

JMLR 2009 Learning Approximate Sequential Patterns for Classification Zeeshan Syed, Piotr Indyk, John Guttag