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Creators/Authors contains: "Meehan, C"

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  1. There are many environmental issues surrounding the global production and use of plastics. Three science curricula (Grades K-2, 3-5, and 6-8) were developed to introduce youth to the past, present, and future of plastics. Designed using research-based methods and grounded in effective science pedagogy, the curricula provide young people opportunities to explore viable alternatives to plastics and develop knowledge and skills necessary to help mitigate environmental impacts associated with the production, use and disposal of plastics. Evaluation results demonstrated that youth improved their understanding of polymers and intention to help reduce impacts of plastics on the environment. 
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  2. Detecting overfitting in generative models is an important challenge in machine learning. In this work, we formalize a form of overfitting that we call data-copying – where the gener- ative model memorizes and outputs training samples or small variations thereof. We pro- vide a three sample non-parametric test for detecting data-copying that uses the training set, a separate sample from the target dis- tribution, and a generated sample from the model, and study the performance of our test on several canonical models and datasets. 
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  3. Detecting overfitting in generative models is an important challenge in machine learning. In this work, we formalize a form of overfitting that we call data-copying – where the gener- ative model memorizes and outputs training samples or small variations thereof. We pro- vide a three sample test for detecting data- copying that uses the training set, a separate sample from the target distribution, and a generated sample from the model, and study the performance of our test on several canon- ical models and datasets. 
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