The frontier of simulation-based inference
Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and...
Uložené v:
| Vydané v: | Proceedings of the National Academy of Sciences - PNAS Ročník 117; číslo 48; s. 30055 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
01.12.2020
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| Predmet: | |
| ISSN: | 1091-6490, 1091-6490 |
| On-line prístup: | Zistit podrobnosti o prístupe |
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| Abstract | Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science. |
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| AbstractList | Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science.Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science. Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science. |
| Author | Cranmer, Kyle Louppe, Gilles Brehmer, Johann |
| Author_xml | – sequence: 1 givenname: Kyle orcidid: 0000-0002-5769-7094 surname: Cranmer fullname: Cranmer, Kyle email: kyle.cranmer@nyu.edu organization: Center for Data Science, New York University, New York, NY 10011 – sequence: 2 givenname: Johann orcidid: 0000-0003-3344-4209 surname: Brehmer fullname: Brehmer, Johann organization: Center for Data Science, New York University, New York, NY 10011 – sequence: 3 givenname: Gilles surname: Louppe fullname: Louppe, Gilles organization: Montefiore Institute, University of Liège, B-4000 Liège, Belgium |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32471948$$D View this record in MEDLINE/PubMed |
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