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Adversarial robustness of sparse local Lipschitz predictors



Ramchandran Muthukumar , Jeremias Sulam


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Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms



Joshua Agterberg , Jeremias Sulam

* To Appear in AISTATS 2022 

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Prospective Learning: Back to the Future



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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Deciphering antibody affinity maturation with language models and weakly supervised learning



Jeffrey A. Ruffolo , Jeffrey J. Gray , Jeremias Sulam

* Presented at Machine Learning for Structural Biology Workshop, NeurIPS 2021 

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Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images



Zhenzhen Wang , Aleksander S. Popel , Jeremias Sulam


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A Geometric Analysis of Neural Collapse with Unconstrained Features



Zhihui Zhu , Tianyu Ding , Jinxin Zhou , Xiao Li , Chong You , Jeremias Sulam , Qing Qu

* 42 pages, 8 figures, 1 table; the first two authors contributed to this work equally 

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Fast Hierarchical Games for Image Explanations



Jacopo Teneggi , Alexandre Luster , Jeremias Sulam

* 20 pages, 8 figures 

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Adversarial Robustness of Supervised Sparse Coding



Jeremias Sulam , Ramchandran Muthumukar , Raman Arora

* Advances in Neural Information Processing Systems, 2020 

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Learning to solve TV regularized problems with unrolled algorithms



Hamza Cherkaoui , Jeremias Sulam , Thomas Moreau

* accepted to NeurIPS 2020 

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Learned Proximal Networks for Quantitative Susceptibility Mapping



Kuo-Wei Lai , Manisha Aggarwal , Peter van Zijl , Xu Li , Jeremias Sulam

* 11 pages 

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