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Benjamin D. Wandelt
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2020 – today
- 2024
- [j3]Niall Jeffrey
, Benjamin D. Wandelt:
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. Mach. Learn. Sci. Technol. 5(1): 15008 (2024) - [i13]Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lázaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen
, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin D. Wandelt, Greg L. Bryan:
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. CoRR abs/2402.05137 (2024) - [i12]Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro, Pedro G. Ferreira, Harry Desmond:
syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum. CoRR abs/2402.17492 (2024) - [i11]Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, Benjamin D. Wandelt:
Scaling-laws for Large Time-series Models. CoRR abs/2405.13867 (2024) - 2023
- [i10]Matthew Ho, Xiaosheng Zhao, Benjamin D. Wandelt:
Information-Ordered Bottlenecks for Adaptive Semantic Compression. CoRR abs/2305.11213 (2023) - [i9]Niall Jeffrey, Benjamin D. Wandelt:
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. CoRR abs/2305.11241 (2023) - [i8]T. Lucas Makinen
, Justin Alsing, Benjamin D. Wandelt:
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs. CoRR abs/2310.03812 (2023) - [i7]Justin Alsing, Thomas D. P. Edwards, Benjamin D. Wandelt:
Optimal simulation-based Bayesian decisions. CoRR abs/2311.05742 (2023) - [i6]Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro:
A precise symbolic emulator of the linear matter power spectrum. CoRR abs/2311.15865 (2023) - 2022
- [i5]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) - 2021
- [i4]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) - [i3]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) - [i2]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) - 2020
- [i1]Niall Jeffrey
, Benjamin D. Wandelt:
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks. CoRR abs/2011.05991 (2020)
2010 – 2019
- 2015
- [j2]Paul M. Sutter, Guilhem Lavaux
, Nico Hamaus
, Alice Pisani
, Benjamin D. Wandelt
, Michael S. Warren, Francisco Villaescusa-Navarro
, Paul Zivick, Qingqing Mao
, Benjamin B. Thompson
:
VIDE: The Void IDentification and Examination toolkit. Astron. Comput. 9: 1-9 (2015) - [j1]Paul M. Sutter, Benjamin D. Wandelt
, Franz Elsner
:
Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions. Astron. Comput. 11: 18-24 (2015)
Coauthor Index
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last updated on 2024-06-19 21:47 CEST by the dblp team
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