John F. Wu - RankMe

14 papers A* 1Journal 13

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`	Insights on Galaxy Evolution from Interpretable Sparse Feature Networks. CoRR John F. Wu
2025	J	`jnl`	Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders. CoRR John F. Wu, Michael Walmsley
2025	J	`jnl`	The Platonic Universe: Do Foundation Models See the Same Sky? CoRR Kshitij Duraphe, Michael J. Smith, Shashwat Sourav, John F. Wu
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`	Deep learning cosmic ray transport from density maps of simulated, turbulent gas. Mach. Learn. Sci. Technol. Chad Bustard, John F. Wu
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`	Disentangling Dense Embeddings with Sparse Autoencoders. CoRR Charles O'Neill, Christine Ye, Kartheik Iyer, John F. Wu
2024	J	`jnl`	Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks. CoRR Nikhil Garuda, John F. Wu, Dylan Nelson, Annalisa Pillepich
2024	J	`jnl`	Photometric redshifts probability density estimation from recurrent neural networks in the DECam local volume exploration survey data release 2. Astron. Comput. G. Teixeira, C. R. Bom, L. Santana-Silva, B. M. O. Fraga, P. Darc, R. Teixeira, John F. Wu, P. S. Ferguson, C. E. Martínez-Vázquez, Alexander H. Riley, A. Drlica-Wagner, Y. Choi, Burçin Mutlu-Pakdil, A. B. Pace, J. D. Sakowska, G. S. Stringfellow
2024	A*	`conf`	The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. NeurIPS Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciuca, Miles D. Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, Maja Jablonska, François Lanusse, Henry Leung, Kaisey Mandel, Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam Holden Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu
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`	Predicting galaxy spectra from images with hybrid convolutional neural networks. CoRR John F. Wu, Joshua E. G. Peek