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2020 – today
- 2025
[j1]Yuan-Sen Ting
, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi:
AstroMLab 1: Who wins astronomy jeopardy!? Astron. Comput. 51: 100893 (2025)- [i25]Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens:
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR abs/2502.20309 (2025) - [i24]Tomasz Rózanski, Yuan-Sen Ting:
Scaling Laws for Emulation of Stellar Spectra. CoRR abs/2503.18617 (2025) - [i23]Tijmen de Haan, Yuan-Sen Ting, Tirthankar Ghosal, Tuan Dung Nguyen, Alberto Accomazzi, Emily Herron, Vanessa Lama, Rui Pan, Azton Wells, Nesar Ramachandra:
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. CoRR abs/2505.17592 (2025) - [i22]Yuan-Sen Ting:
Statistical Machine Learning for Astronomy - A Textbook. CoRR abs/2506.12230 (2025) - [i21]Chenrui Ma, Zechang Sun, Tao Jing, Zheng Cai, Yuan-Sen Ting, Song Huang, Mingyu Li:
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation. CoRR abs/2506.16233 (2025) - [i20]Xiaosheng Zhao, Yang Huang, Guirong Xue, Xiao Kong, Jifeng Liu, Xiaoyu Tang, Timothy C. Beers, Yuan-Sen Ting, A-Li Luo:
SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars. CoRR abs/2507.01939 (2025) - [i19]Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng:
Effective Training Data Synthesis for Improving MLLM Chart Understanding. CoRR abs/2508.06492 (2025) - [i18]Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille Bilodeau, Keith Brown, Emmanuel Candes, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutiérrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang:
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR abs/2509.02661 (2025) - [i17]Wei Zhang, Qiufan Lin, Yuan-Sen Ting, Shupei Chen, Hengxin Ruan, Song Li, Yifan Wang:
Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition. CoRR abs/2509.23901 (2025) - 2024
- [c1]Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting:
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. SC Workshops 2024: 87-96 - [i16]Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD:
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR abs/2401.01916 (2024) - [i15]Jiashu Pan, Yuan-Sen Ting, Yang Huang, Jie Yu, Ji-Feng Liu:
The Scaling Law in Stellar Light Curves. CoRR abs/2405.17156 (2024) - [i14]Zechang Sun, Yuan-Sen Ting, Yaobo Liang, Nan Duan, Song Huang, Zheng Cai:
Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery. CoRR abs/2406.01391 (2024) - [i13]Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi:
AstroMLab 1: Who Wins Astronomy Jeopardy!? CoRR abs/2407.11194 (2024) - [i12]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) - [i11]Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting:
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. CoRR abs/2409.19750 (2024) - [i10]Qiufan Lin, Hengxin Ruan, Dominique Fouchez, Shupei Chen, Rui Li, Paulo Montero-Camacho, Nicola R. Napolitano, Yuan-Sen Ting, Wei Zhang:
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation. CoRR abs/2410.19390 (2024) - 2023
- [i9]Ioana Ciuca, Yuan-Sen Ting:
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature. CoRR abs/2304.05406 (2023) - [i8]Ioana Ciuca, Yuan-Sen Ting, Sandor Kruk, Kartheik Iyer:
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy. CoRR abs/2306.11648 (2023) - [i7]Charles O'Neill, Yuan-Sen Ting, Ioana Ciuca, Jack W. Miller, Thang D. Bui:
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. CoRR abs/2308.07645 (2023) - [i6]Charles O'Neill, Jack W. Miller, Ioana Ciuca, Yuan-Sen Ting, Thang D. Bui:
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. CoRR abs/2308.13768 (2023) - [i5]Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Zechang Sun, Maja Jablonska, Sandor Kruk, Ernest Perkowski, Jack W. Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang D. Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD:
AstroLLaMA: Towards Specialized Foundation Models in Astronomy. CoRR abs/2309.06126 (2023) - [i4]Jiashu Pan, Yuan-Sen Ting, Jie Yu:
Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models. CoRR abs/2309.16316 (2023) - [i3]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) - 2022
- [i2]Jiashu Pan, Yuan-Sen Ting, Jie Yu:
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer. CoRR abs/2207.02787 (2022) - 2021
- [d1]Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis:
Dataset used in "Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope" (https://arxiv.org/abs/2107.00048). Zenodo, 2021
- [i1]Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis:
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope. CoRR abs/2107.00048 (2021)
Coauthor Index
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