Benjamin D. Wandelt

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Autocorrelation Function

Artificial Intelligence

Top Venues

Astron. Comput.

Publications

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 (2024)
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 (2023)
Niall Jeffrey, Benjamin D. Wandelt
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. CoRR (2023)
Justin Alsing, Thomas D. P. Edwards, Benjamin D. Wandelt
Optimal simulation-based Bayesian decisions. CoRR (2023)
Matthew Ho, Xiaosheng Zhao, Benjamin D. Wandelt
Information-Ordered Bottlenecks for Adaptive Semantic Compression. CoRR (2023)
T. Lucas Makinen, Justin Alsing, Benjamin D. Wandelt
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs. CoRR (2023)
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 (2022)
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 (2021)
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 (2021)
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 (2021)
Niall Jeffrey, Benjamin D. Wandelt
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks. CoRR (2020)
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 (2015)
Paul M. Sutter, Benjamin D. Wandelt, Franz Elsner
Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions. Astron. Comput. 11 (2015)