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ORCIDYin Li 0009
Person information
- affiliation: Flatiron Institute, Center for Computational Astrophysics, Center for Computational Mathematics, NY, USA
Other persons with the same name
- Yin Li — disambiguation page
- Yin Li 0001
![[0000-0002-9529-8481]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9529-8481")
— Dongguan University of Technology, School of Cyberspace Security, China (and 2 more) - Yin Li 0002 — Shenzhen University, College of Electronics and Information Engineering, China (and 1 more)
- Yin Li 0003 — University of Wisconsin-Madison, Biostatistics & Medical Informatics, USA (and 1 more)
- Yin Li 0004 — Technical University of Munich, Chair of Theoretical Information Technology, Germany
- Yin Li 0005 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Yin Li 0006 — Guangzhou Institute of Software Application Technology, China (and 1 more)
- Yin Li 0007 — University of Guelph, School of Engineering, ON, Canada
- Yin Li 0008 — Cornell University, NY, USA (and 2 more)
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2020 – today
- 2022
[i12]Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin D. Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Mark Vogelsberger:
The CAMELS project: public data release. CoRR abs/2201.01300 (2022)- [i11]Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho, Renan Alves de Oliveira, David N. Spergel:
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation. CoRR abs/2206.04573 (2022) - [i10]Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel:
Field Level Neural Network Emulator for Cosmological N-body Simulations. CoRR abs/2206.04594 (2022) - [i9]Yan-Mong Chan, Natascha Manger, Yin Li, Chao-Chin Yang, Zhaohuan Zhu, Philip J. Armitage, Shirley Ho:
Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning. CoRR abs/2210.02339 (2022) - 2021
- [i8]Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman:
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. CoRR abs/2106.01450 (2021) - [i7]Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Yin Li, Benjamin D. Wandelt, Andrina Nicola, Leander Thiele, Sultan Hassan, José Manuel Zorrilla Matilla, Desika Narayanan, Romeel Dave, Mark Vogelsberger:
Multifield Cosmology with Artificial Intelligence. CoRR abs/2109.09747 (2021) - [i6]Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin D. Wandelt, Leander Thiele, Andrina Nicola, José Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger:
Robust marginalization of baryonic effects for cosmological inference at the field level. CoRR abs/2109.10360 (2021) - [i5]Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin D. Wandelt, David N. Spergel, Rachel S. Somerville, José Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W. K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger:
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR abs/2109.10915 (2021) - [i4]David Schaurecker, Yin Li, Jeremy Tinker, Shirley Ho, Alexandre Refregier:
Super-resolving Dark Matter Halos using Generative Deep Learning. CoRR abs/2111.06393 (2021) - 2020
- [i3]Renan Alves de Oliveira, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel:
Fast and Accurate Non-Linear Predictions of Universes with Deep Learning. CoRR abs/2012.00240 (2020) - [i2]Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen:
Learning the Evolution of the Universe in N-body Simulations. CoRR abs/2012.05472 (2020)
2010 – 2019
- 2018
- [i1]Siyu He, Yin Li, Yu Feng, Shirley Ho, Siamak Ravanbakhsh, Wei Chen, Barnabás Póczos:
Learning to Predict the Cosmological Structure Formation. CoRR abs/1811.06533 (2018)
Coauthor Index
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