Search Results - "Mckay, Myles"

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data by Filiz Ak, N., Andrews, Brett H., Anguiano, Borja, Aquino-Ortíz, Erik, Argudo-Fernández, Maria, Ata, Metin, Aubert, Marie, Barger, Kat, Beers, Timothy C., Bernardi, Mariangela, Bidin, Christian Moni, Bird, Jonathan C., Bizyaev, Dmitry, Blanc, Guillermo A., Blanton, Michael R., Borissova, Jura, Buchner, Johannes, Bundy, Kevin, Bureau, Martin, Burgasser, Adam, Cabang, Tuesday K., Cappellari, Michele, Cherinka, Brian, Chung, Haeun, Clerc, Nicolas, Comerford, Julia M., Crane, Jeffrey D., Dai, Y. Sophia, Damke, Guillermo, Darling, Jeremy, Dawson, Kyle, De Lee, Nathan, Sánchez, Helena Domínguez, Eisenstein, Daniel J., Emsellem, Eric, Fan, Xiaohui, Fillingham, Sean P, Frinchaboy, Peter M., Fromenteau, Sebastien, Geisler, Doug, Gelfand, Joseph, Goddy, Julian, Greener, Michael, Grier, Catherine J., Hearty, Fred, Holtzman, Jon A., Hsieh, Bau-Ching, Hsu, Yun-Hsin, Ilha, Gabriele S., Jaekle, Will, Khalatyan, Dr. Arman, Kreckel, Kathryn, Lane, Richard R., Lazarz, Daniel, Leung, Henry W., Li, Ran, Liang, Fu-Heng, Long, Dan, Luo, Yuanze, Manchado, Arturo, Mathur, Savita, McDermid, Richard M., Mckay, Myles, Merrifield, Michael, Di Mille, Francesco, Muñoz, Ricardo R., Nandra, Kirpal, Nitschelm, Christian, Garma-Oehmichen, Luis, Perez-Fournon, Ismael, Bárbara de Andrade Queiroz, Anna, Riffel, Rogério, Roman-Lopes, Alexandre, Román-Zúñiga, Carlos, Rubin, Kate H. R., Sarmiento, Regina, Sayres, Conor, Schaefer, Adam L., Schiavon, Ricardo, Schlegel, David J, Schwope, Axel, Serenelli, Aldo, Shetrone, Matthew, Skrutskie, M. F., Steinmetz, Matthias, Storchi-Bergmann, Thaisa, Stutz, Amelia, Taghizadeh-Popp, Manuchehr, Teske, Johanna, Thakar, Ani, Theissen, Christopher, Tkachenko, Andrew, Tojeiro, Rita, Turner, Jacqueline, Vargas-González, Jaime, Villanova, Sandro, Vincenzo, Fiorenzo, Westfall, Kyle B., Wild, Vivienne, Wilde, Matthew C.

“…Abstract This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase…”
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Sub-Kpc Scale Analysis of Stellar Chemical Abundance and Star Formation Distributions in Nearby Galaxies by McKay, Myles Anthony Aaron Alexander

“…Nearby galaxies provide critical insights into the complex chemical and stellar evolution of galaxies over cosmic time. High-quality resolved measurements…”
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Impact of architecture on robustness and interpretability of multispectral deep neural networks by Godfrey, Charles, Bishoff, Elise, McKay, Myles, Byler, Eleanor

“…Including information from additional spectral bands (e.g., near-infrared) can improve deep learning model performance for many vision-oriented tasks. There…”
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Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning by Bishoff, Elise, Godfrey, Charles, McKay, Myles, Byler, Eleanor

“…In overhead image segmentation tasks, including additional spectral bands beyond the traditional RGB channels can improve model performance. However, it is…”
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How many dimensions are required to find an adversarial example? by Godfrey, Charles, Kvinge, Henry, Bishoff, Elise, Mckay, Myles, Brown, Davis, Doster, Tim, Byler, Eleanor

“…Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a…”
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How many dimensions are required to find an adversarial example? by Godfrey, Charles, Kvinge, Henry, Bishoff, Elise, Mckay, Myles, Brown, Davis, Doster, Tim, Byler, Eleanor

“…Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a…”
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Testing predictions of representation cost theory with CNNs by Godfrey, Charles, Bishoff, Elise, Mckay, Myles, Brown, Davis, Jorgenson, Grayson, Kvinge, Henry, Byler, Eleanor

“…It is widely acknowledged that trained convolutional neural networks (CNNs) have different levels of sensitivity to signals of different frequency. In…”
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