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Generating counterfactual explanations of tumor spatial proteomes to discover effective, combinatorial therapies that enhance cancer immunotherapy


Nov 08, 2022
Zitong Jerry Wang, Matt Thomson

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Engineering flexible machine learning systems by traversing functionally invariant paths in weight space


May 09, 2022
Guruprasad Raghavan, Matt Thomson

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* 17 pages 

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Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data


Jun 15, 2021
Xiaoqiao Chen, Sisi Chen, Matt Thomson

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* 19 pages, 4 figures 

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Solving hybrid machine learning tasks by traversing weight space geodesics


Jun 05, 2021
Guruprasad Raghavan, Matt Thomson

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* 11 pages, 7 figures 

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Reinforcement Learning reveals fundamental limits on the mixing of active particles


May 28, 2021
Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen, Matt Thomson

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Sparsifying networks by traversing Geodesics


Dec 12, 2020
Guruprasad Raghavan, Matt Thomson

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* 5 pages; Presented work at NeurIPS 2020 Workshop (DiffGeo4DL). arXiv admin note: text overlap with arXiv:2005.11603 

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Self-organization of multi-layer spiking neural networks


Jun 12, 2020
Guruprasad Raghavan, Cong Lin, Matt Thomson

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* 11 pages, 4 figures 

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Geometric algorithms for predicting resilience and recovering damage in neural networks


Jun 02, 2020
Guruprasad Raghavan, Jiayi Li, Matt Thomson

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* 10 pages and 4 figures 

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