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Joshua E. G. Peek
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Journal Articles
- 2020
- [j1]Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek:
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. 32: 100390 (2020)
Informal and Other Publications
- 2024
- [i8]John F. Wu, Alina Hyk, Kiera McCormick, Christine Ye, Simone Astarita, Elina Baral, Jo Ciuca, Jesse Cranney, Anjalie Field, Kartheik Iyer, Philipp Koehn, Jenn Kotler, Sandor Kruk, Michelle Ntampaka, Charles O'Neill, Joshua E. G. Peek, Sanjib Sharma, Mikaeel Yunus:
Designing an Evaluation Framework for Large Language Models in Astronomy Research. CoRR abs/2405.20389 (2024) - [i7]Kartheik Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley:
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR abs/2408.01556 (2024) - 2023
- [i6]Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger:
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR abs/2310.12528 (2023) - 2020
- [i5]Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek:
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. CoRR abs/2004.11981 (2020) - [i4]John F. Wu, Joshua E. G. Peek:
Predicting galaxy spectra from images with hybrid convolutional neural networks. CoRR abs/2009.12318 (2020) - 2019
- [i3]Joshua E. G. Peek, Vandana Desai, Richard L. White, Raffaele D'Abrusco, Joseph M. Mazzarella, Carolyn Grant, Jenny L. Novacescu, Elena Scire, Sherry L. Winkelman:
Robust Archives Maximize Scientific Accessibility. CoRR abs/1907.06234 (2019) - [i2]Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone:
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR abs/1911.02479 (2019) - 2018
- [i1]Jenny Novacescu, Joshua E. G. Peek, Sarah Weissman, Scott W. Fleming, Karen Levay, Elizabeth Fraser:
A Model for Data Citation in Astronomical Research using Digital Object Identifiers (DOIs). CoRR abs/1801.00004 (2018)
Coauthor Index
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