Innovative Visualizations Shed Light on Avian Nocturnal Migration von Shamoun-Baranes, Judy, Farnsworth, Andrew, Aelterman, Bart, Alves, Jose A, Azijn, Kevin, Bernstein, Garrett, Branco, Sérgio, Desmet, Peter, Dokter, Adriaan M, Horton, Kyle, Kelling, Steve, Kelly, Jeffrey F, Leijnse, Hidde, Rong, Jingjing, Sheldon, Daniel, Van den Broeck, Wouter, Van Den Meersche, Jan Klaas, Van Doren, Benjamin Mark, van Gasteren, Hans

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Phenology of nocturnal avian migration has shifted at the continental scale von Horton, Kyle G., La Sorte, Frank A., Sheldon, Daniel, Lin, Tsung-Yu, Winner, Kevin, Bernstein, Garrett, Maji, Subhransu, Hochachka, Wesley M., Farnsworth, Andrew

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MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks von Lin, Tsung‐Yu, Winner, Kevin, Bernstein, Garrett, Mittal, Abhay, Dokter, Adriaan M., Horton, Kyle G., Nilsson, Cecilia, Van Doren, Benjamin M., Farnsworth, Andrew, La Sorte, Frank A., Maji, Subhransu, Sheldon, Daniel, Freckleton, Robert

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Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation von Newcombe, Patrick B, Nilsson, Cecilia, Lin, Tsung-Yu, Winner, Kevin, Bernstein, Garrett, Maji, Subhransu, Sheldon, Daniel, Farnsworth, Andrew, Horton, Kyle G

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Bayesian Discovery of Threat Networks von Smith, Steven T., Kao, Edward K., Senne, Kenneth D., Bernstein, Garrett, Philips, Scott

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M ist N et : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks von Lin, Tsung‐Yu, Winner, Kevin, Bernstein, Garrett, Mittal, Abhay, Dokter, Adriaan M., Horton, Kyle G., Nilsson, Cecilia, Van Doren, Benjamin M., Farnsworth, Andrew, La Sorte, Frank A., Maji, Subhransu, Sheldon, Daniel

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Differentially Private Bayesian Linear Regression von Bernstein, Garrett, Sheldon, Daniel

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TECHNIQUES FOR DIAGNOSING SOURCES OF ERROR IN A SAMPLE PROCESSING WORKFLOW von KEYDER, Emil, BERNSTEIN, Garrett

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Differentially Private Bayesian Inference for Exponential Families von Bernstein, Garrett, Sheldon, Daniel

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Consistently Estimating Markov Chains with Noisy Aggregate Data von Bernstein, Garrett, Sheldon, Daniel

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Differentially Private Bayesian Linear Regression von Bernstein, Garrett, Sheldon, Daniel

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Differentially Private Bayesian Inference for Exponential Families von Bernstein, Garrett, Sheldon, Daniel

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Stochastic Agent-Based Simulations of Social Networks von Bernstein, Garrett, O'Brien, Kyle

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Consistently Estimating Markov Chains with Noisy Aggregate Data von Bernstein, Garrett, Sheldon, Daniel

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Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models von Bernstein, Garrett, McKenna, Ryan, Sun, Tao, Sheldon, Daniel, Hay, Michael, Miklau, Gerome

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Stochastic Agent-Based Simulations of Social Networks von Bernstein, Garrett, O'Brien, Kyle

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Bayesian Discovery of Threat Networks von Smith, Steven T, Kao, Edward K, Senne, Kenneth D, Bernstein, Garrett, Philips, Scott

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Online data from Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation von Newcombe, Patrick B., Nilsson, Cecilia, Tsung-Yu Lin, Winner, Kevin, Bernstein, Garrett, Subhransu Maji, Sheldon, Daniel, Farnsworth, Andrew, Horton, Kyle G.

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Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models von Bernstein, Garrett, McKenna, Ryan, Sun, Tao, Sheldon, Daniel, Hay, Michael, Miklau, Gerome

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Network Detection Theory and Performance von Smith, Steven T, Senne, Kenneth D, Philips, Scott, Kao, Edward K, Bernstein, Garrett

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