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The Value of Out-of-Distribution Data


Aug 23, 2022
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein

* To be presented as a short paper at the Out-of-Distribution Generalization in Computer Vision (OOD-CV) workshop, ECCV 2022, Tel Aviv, Israel 

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MammoDL: Mammographic Breast Density Estimation using Federated Learning


Jun 11, 2022
Keshava Katti, Ramya Muthukrishnan, Angelina Heyler, Sarthak Pati, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher Scott, Stacey Winham, Celine Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas

* Breast Cancer Risk, Digital Mammography, Breast Density, Deep Learning, Machine Learning, Federated Learning, OpenFL 

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Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies


May 26, 2022
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos


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Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity


Feb 25, 2022
Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett


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Deep Reference Priors: What is the best way to pretrain a model?


Feb 01, 2022
Yansong Gao, Rahul Ramesh, Pratik Chaudhari

* 23 pages 

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Prospective Learning: Back to the Future


Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang


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Harmonization with Flow-based Causal Inference


Jul 10, 2021
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos


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Boosting a Model Zoo for Multi-Task and Continual Learning


Jun 06, 2021
Rahul Ramesh, Pratik Chaudhari


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Deformable Linear Object Prediction Using Locally Linear Latent Dynamics


Mar 26, 2021
Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis


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