Joshua E. G. Peek

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Queries to Criteria: Understanding How Astronomers Evaluate LLMs. CoRR Alina Hyk, Kiera McCormick, Mian Zhong, Ioana Ciuca, Sanjib Sharma, John F. Wu, Joshua E. G. Peek, Kartheik Iyer, Ziang Xiao, Anjalie Field
2025	J	`jnl`	amc: The Automated Mission Classifier for Telescope Bibliographies. CoRR John F. Wu, Joshua E. G. Peek, Sophie J. Miller, Jenny Novacescu, Achu J. Usha, Christopher A. Wilkinson
2024	J	`jnl`	Designing an Evaluation Framework for Large Language Models in Astronomy Research. CoRR 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
2024	J	`jnl`	pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR 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
2023	J	`jnl`	Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, Tobias 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, Elad Zinger
2020	J	`jnl`	DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. CoRR Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
2020	J	`jnl`	DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
2020	J	`jnl`	Predicting galaxy spectra from images with hybrid convolutional neural networks. CoRR John F. Wu, Joshua E. G. Peek
2019	J	`jnl`	Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR 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 L. 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
2019	J	`jnl`	Robust Archives Maximize Scientific Accessibility. CoRR 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
2018	J	`jnl`	A Model for Data Citation in Astronomical Research using Digital Object Identifiers (DOIs). CoRR Jenny Novacescu, Joshua E. G. Peek, Sarah Weissman, Scott W. Fleming, Karen Levay, Elizabeth Fraser