Search Results - Weinberger, AH

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  1. 1
    Cigarette use is increasing among people with illicit substance use disorders in the United States, 2002–14: emerging disparities in vulnerable populations

    Cigarette use is increasing among people with illicit substance use disorders in the United States, 2002–14: emerging disparities in vulnerable populations by Weinberger, Andrea H., Gbedemah, Misato, Wall, Melanie M., Hasin, Deborah S., Zvolensky, Michael J., Goodwin, Renee D.

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  2. 2
    Monoamine Oxidase Inhibition for Tobacco Pharmacotherapy

    Monoamine Oxidase Inhibition for Tobacco Pharmacotherapy by George, TP, Weinberger, AH

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  3. 3
    Items as Context: Effects of Item Order and Ambiguity on Factor Structure

    Items as Context: Effects of Item Order and Ambiguity on Factor Structure by Weinberger, Andrea H., Darkes, Jack, Del Boca, Frances K., Greenbaum, Paul E., Goldman, Mark S.

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  4. 4
    Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data

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

    Published in Nature communications
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  5. 5
    Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction

    Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction by 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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  6. 6
    Machine learning discovery of new phases in programmable quantum simulator snapshots

    Machine learning discovery of new phases in programmable quantum simulator snapshots by 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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  7. 7
    Differential expression of the actin-binding proteins, α-actinin-2 and -3, in different species : implications for the evolution of functional redundancy

    Differential expression of the actin-binding proteins, α-actinin-2 and -3, in different species : implications for the evolution of functional redundancy by MILLS, Michelle A, NAN YANG, WEINBERGER, Ron P, VANDER WOUDE, Douglas L, BEGGS, Alan H, EASTEAL, Simon, NORTH, Kathryn N

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  8. 8
    Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction

    Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction by 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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  9. 9
    Machine learning discovery of new phases in programmable quantum simulator snapshots

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

    Published in arXiv.org
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  10. 10
    Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data

    Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data by Cole, Miles, Bohrdt, Annabelle, Wu, Ruihan, Chiu, Christie, Xu, Muqing, Ji, Geoffrey, Greiner, Markus, Weinberger, Kilian Q, Demler, Eugene, Kim, Eun-Ah

    Published in arXiv.org
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  11. 11
    Attention to Quantum Complexity

    Attention to Quantum Complexity by Kim, Hyejin, Zhou, Yiqing, Xu, Yichen, Varma, Kaarthik, Karamlou, Amir H, Rosen, Ilan T, Hoke, Jesse C, Chao, Wan, Jin Peng Zhou, Oliver, William D, Lensky, Yuri D, Weinberger, Kilian Q, Kim, Eun-Ah

    Published in arXiv.org
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  12. 12
    Harnessing Interpretable and Unsupervised Machine Learning to Address Big Data from Modern X-ray Diffraction

    Harnessing Interpretable and Unsupervised Machine Learning to Address Big Data from Modern X-ray Diffraction by Jordan Venderley, Matty, Michael, Mallayya, Krishnanand, Krogstad, Matthew, Ruff, Jacob, Pleiss, Geoff, Kishore, Varsha, Mandrus, David, Phelan, Daniel, Poudel, Lekhanath, Andrew Gordon Wilson, Weinberger, Kilian, Upreti, Puspa, Norman, Michael R, Rosenkranz, Stephan, Osborn, Ray, Kim, Eun-Ah

    Published in arXiv.org
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