Convolutional Networks with Dense Connectivity von Huang, Gao, Liu, Zhuang, Pleiss, Geoff, Maaten, Laurens van der, Weinberger, Kilian Q.

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Unsupervised Learning of Image Manifolds by Semidefinite Programming von Weinberger, Kilian Q, Saul, Lawrence K

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Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data von Miles, Cole, Bohrdt, Annabelle, Wu, Ruihan, Chiu, Christie, Xu, Muqing, Ji, Geoffrey, Greiner, Markus, Weinberger, Kilian Q., Demler, Eugene, Kim, Eun-Ah

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Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke von Siegel, Joshua Sarfaty, Ramsey, Lenny E., Snyder, Abraham Z., Metcalf, Nicholas V., Chacko, Ravi V., Weinberger, Kilian, Baldassarre, Antonello, Hacker, Carl D., Shulman, Gordon L., Corbetta, Maurizio

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Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction von Venderley, Jordan, Mallayya, Krishnanand, Matty, Michael, Krogstad, Matthew, Ruff, Jacob, Pleiss, Geoff, Kishore, Varsha, Mandrus, David, Phelan, Daniel, Poudel, Lekhanath, Wilson, Andrew Gordon, Weinberger, Kilian, Upreti, Puspa, Norman, Michael, Rosenkranz, Stephan, Osborn, Raymond, Kim, Eun-Ah

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Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold von Liu, Zhenzhen, Zhou, Jin Peng, Weinberger, Kilian Q

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Determining subpopulation methylation profiles from bisulfite sequencing data of heterogeneous samples using DXM von Fong, Jerry, Gardner, Jacob R, Andrews, Jared M, Cashen, Amanda F, Payton, Jacqueline E, Weinberger, Kilian Q, Edwards, John R

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Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications von Pahwa, Mrinal, Kusner, Matthew, Hacker, Carl D, Bundy, David T, Weinberger, Kilian Q, Leuthardt, Eric C

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Fast, Continuous Audiogram Estimation Using Machine Learning von Song, Xinyu D, Wallace, Brittany M, Gardner, Jacob R, Ledbetter, Noah M, Weinberger, Kilian Q, Barbour, Dennis L

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images von Wang, Brian H., Chao, Wei-Lun, Wang, Yan, Hariharan, Bharath, Weinberger, Kilian Q., Campbell, Mark

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Machine learning discovery of new phases in programmable quantum simulator snapshots von Miles, Cole, Samajdar, Rhine, Ebadi, Sepehr, Wang, Tout T., Pichler, Hannes, Sachdev, Subir, Lukin, Mikhail D., Greiner, Markus, Weinberger, Kilian Q., Kim, Eun-Ah

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Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification von Chen, Xilun, Sun, Yu, Athiwaratkun, Ben, Cardie, Claire, Weinberger, Kilian

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Deep Networks with Stochastic Depth von Huang, Gao, Sun, Yu, Liu, Zhuang, Sedra, Daniel, Weinberger, Kilian Q.

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Stochastic triplet embedding von van der Maaten, L., Weinberger, K.

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Physicochemical signatures of nanoparticle-dependent complement activation von Thomas, Dennis G, Chikkagoudar, Satish, Heredia-Langner, Alejandro, Tardiff, Mark F, Xu, Zhixiang, Hourcade, Dennis E, Pham, Christine T N, Lanza, Gregory M, Weinberger, Kilian Q, Baker, Nathan A

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Boosted multi-task learning von Chapelle, Olivier, Shivaswamy, Pannagadatta, Vadrevu, Srinivas, Weinberger, Kilian, Zhang, Ya, Tseng, Belle

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Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction von Venderley, Jordan, Mallayya, Krishnanand, Matty, Michael, Krogstad, Matthew, Ruff, Jacob, Pleiss, Geoff, Kishore, Varsha, Mandrus, David, Phelan, Daniel, Poudel, Lekhanath, Wilson, Andrew Gordon, Weinberger, Kilian, Upreti, Puspa, Norman, Michael, Rosenkranz, Stephan, Osborn, Raymond, Kim, Eun-Ah

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A Novel Method to Identify Epigenetic Subclones with Increased Fitness from Genomic DNA Methylation Data of Lymphoma and Leukemia Patients von Fong, Jerry, Edwards, John R., Gardner, Jacob R., Cashen, Amanda F, Weinberger, Kilian Q., Payton, Jacqueline E.

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Learning to rank with (a lot of) word features von Bai, Bing, Weston, Jason, Grangier, David, Collobert, Ronan, Sadamasa, Kunihiko, Qi, Yanjun, Chapelle, Olivier, Weinberger, Kilian

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A Recap of the AAAI / IAAI 2018 Conferences and the EAAI Symposium von McIlraith, Sheila, Weinberger, Kilian, Myers, Karen, Eaton, Eric, Wollowski, Michael, Youngblood, G. Michael

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