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ORCIDJared Dunnmon
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2020 – today
- 2023
[j7]Siyi Tang
, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27(4): 2071-2082 (2023)- [c13]Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin:
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL 2023: 50-71 - 2022
- [c12]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz:
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) 2022: 23-34 - [c11]Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR 2022 - [c10]Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR 2022 - [c9]Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS 2022 - [i19]Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR abs/2203.14960 (2022) - [i18]Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR abs/2204.06766 (2022) - [i17]Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR abs/2206.00897 (2022) - [i16]Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin:
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR abs/2211.11176 (2022) - 2021
- [j6]Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin:
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics 113: 103656 (2021) - [c8]Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré:
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) 2021: 603-614 - [i15]Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR abs/2104.08336 (2021) - [i14]Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren:
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. CoRR abs/2108.02016 (2021) - 2020
- [j5]Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [j4]Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [j3]Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer:
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine 3 (2020) - [j2]Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns 1(2): 100019 (2020) - [c7]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS 2020: 398-410 - [c6]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL 2020: 151-159 - [c5]Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS 2020 - [i13]Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR abs/2003.07977 (2020) - [i12]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR abs/2004.05316 (2020) - [i11]Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin:
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR abs/2010.08006 (2020) - [i10]Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. CoRR abs/2011.12945 (2020) - [i9]Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer:
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR abs/2011.14101 (2020)
2010 – 2019
- 2019
- [j1]Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel:
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1(12): 578-583 (2019) - [c4]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. AAAI 2019: 4763-4771 - [c3]Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin:
Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) 2019: 811-819 - [i8]Swetava Ganguli, Jared Dunnmon, Darren Hau:
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. CoRR abs/1902.05433 (2019) - [i7]Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic:
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR abs/1902.07087 (2019) - [i6]Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR abs/1903.11101 (2019) - [i5]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR abs/1909.12475 (2019) - 2018
- [c2]Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré:
Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD 2018: 3:1-3:4 - [i4]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. CoRR abs/1810.02840 (2018) - 2017
- [c1]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS 2017: 3236-3246 - [i3]Swetava Ganguli, Jared Dunnmon:
Machine Learning for Better Models for Predicting Bond Prices. CoRR abs/1705.01142 (2017) - [i2]Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin:
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR abs/1705.06362 (2017) - [i1]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR abs/1709.01643 (2017)
Coauthor Index
aka: Khaled Kamal Saab
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