Search Results - "Wright, Austin P."

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    Role of type-I and type-III interferons in gastrointestinal homeostasis and pathogenesis by Wright, Austin P, Nice, Timothy J

    Published in Current opinion in immunology (01-02-2024)
    “…Interferon (IFN) was discovered based on interference with virus production, and three types of IFN are now defined. Since its discovery, IFN’s roles have…”
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    The nuclear network: multiplex network analysis for interconnected systems by Goldblum, Bethany L., Reddie, Andrew W., Hickey, Thomas C., Bevins, James E., Laderman, Sarah, Mahowald, Nathaniel, Wright, Austin P., Katzenson, Elie, Mubarak, Yara

    Published in Applied network science (14-06-2019)
    “…States facing the decision to develop a nuclear weapons program do so within a broader context of their relationships with other countries. How these…”
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    NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks by Park, Haekyu, Das, Nilaksh, Duggal, Rahul, Wright, Austin P., Shaikh, Omar, Hohman, Fred, Polo Chau, Duen Horng

    “…Existing research on making sense of deep neural networks often focuses on neuron-level interpretation, which may not adequately capture the bigger picture of…”
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    A small RNA is functional in Escherichia fergusonii despite containing a large insertion by Wright, Austin P, Dutcher, H Auguste, Butler, Brianna, Nice, Timothy J, Raghavan, Rahul

    “…Bacterial small RNAs (sRNAs) are important regulators of gene expression; however, the impact of natural mutations on sRNA functions has not been studied…”
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    Interferon regulatory factor 6 (IRF6) determines intestinal epithelial cell development and immunity by Wright, Austin P., Harris, Sydney, Madden, Shelby, Reyes, Bryan Ramirez, Mulamula, Ethan, Gibson, Alexis, Rauch, Isabella, Constant, David A., Nice, Timothy J.

    Published in Mucosal immunology (01-08-2024)
    “…Intestinal epithelial cell (IEC) responses to interferon (IFN) favor antiviral defense with minimal cytotoxicity, but IEC-specific factors that regulate these…”
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    Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media by Wright, Austin P., Jones, Christopher M., Chau, Duen Horng, Matthew Gladden, R., Sumner, Steven A.

    Published in Journal of biomedical informatics (01-07-2021)
    “…[Display omitted] •Detection of emerging drugs involved in overdose from social media.•Use of diachronic word embeddings for natural language…”
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    In-situ mapping of monocrystalline regions on Mars by Orenstein, Brendan J., Jones, Michael W.M., Flannery, David T., Wright, Austin P., Davidoff, Scott, Tice, Michael M., Nothdurft, Luke, Allwood, Abigail C.

    Published in Icarus (New York, N.Y. 1962) (15-09-2024)
    “…Elemental quantification instruments for planetary missions provide a capability for in-situ identification of mineral phases via stoichiometry, an essential…”
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    Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings by Wright, Austin P, Wiklicky, Herbert

    Published 24-01-2020
    “…Neural approaches to program synthesis and understanding have proliferated widely in the last few years; at the same time graph based neural networks have…”
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    Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars by Wright, Austin P, Davidoff, Scott, Chau, Duen Horng

    Published 24-08-2024
    “…In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25-29, 2024, Barcelona, Spain. ACM, New York, NY, USA…”
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    Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework by Wright, Austin P, Nemere, Peter, Galvin, Adrian, Chau, Duen Horng, Davidoff, Scott

    Published 14-02-2023
    “…While anomaly detection stands among the most important and valuable problems across many scientific domains, anomaly detection research often focuses on AI…”
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    NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks by Park, Haekyu, Das, Nilaksh, Duggal, Rahul, Wright, Austin P, Shaikh, Omar, Hohman, Fred, Chau, Duen Horng

    Published 29-08-2021
    “…Existing research on making sense of deep neural networks often focuses on neuron-level interpretation, which may not adequately capture the bigger picture of…”
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    Mapping Researchers with PeopleMap by Saad-Falcon, Jon, Shaikh, Omar, Wang, Zijie J, Wright, Austin P, Richardson, Sasha, Chau, Duen Horng

    Published 31-08-2020
    “…Discovering research expertise at universities can be a difficult task. Directories routinely become outdated, and few help in visually summarizing…”
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    Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes by Wright, Austin P, Ziems, Caleb, Park, Haekyu, Saad-Falcon, Jon, Chau, Duen Horng, Yang, Diyi, Tomprou, Maria

    Published 15-06-2021
    “…As job markets worldwide have become more competitive and applicant selection criteria have become more opaque, and different (and sometimes contradictory)…”
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    Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries by Park, Haekyu, Lee, Seongmin, Hoover, Benjamin, Wright, Austin P, Shaikh, Omar, Duggal, Rahul, Das, Nilaksh, Li, Kevin, Hoffman, Judy, Chau, Duen Horng

    Published 30-03-2022
    “…We present ConceptEvo, a unified interpretation framework for deep neural networks (DNNs) that reveals the inception and evolution of learned concepts during…”
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    PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing by Saad-Falcon, Jon, Shaikh, Omar, Wang, Zijie J, Wright, Austin P, Richardson, Sasha, Chau, Duen Horng

    Published 10-06-2020
    “…Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and they often lack…”
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    EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models by Shaikh, Omar, Saad-Falcon, Jon, Wright, Austin P, Das, Nilaksh, Freitas, Scott, Asensio, Omar Isaac, Chau, Duen Horng

    Published 30-03-2021
    “…The advent of larger machine learning (ML) models have improved state-of-the-art (SOTA) performance in various modeling tasks, ranging from computer vision to…”
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