default search action
David N. Spergel
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [i19]Natalí S. M. de Santi
, Francisco Villaescusa-Navarro, L. Raul Abramo, Helen Shao, Lucia A. Perez, Tiago Castro
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects. CoRR abs/2310.15234 (2023) - [i18]Pablo Lemos, Liam Holden Parker, ChangHoon Hahn, Shirley Ho
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. CoRR abs/2310.15256 (2023) - 2022
- [j1]Leander Thiele
Predicting the thermal Sunyaev-Zel'dovich field using modular and equivariant set-based neural networks. Mach. Learn. Sci. Technol. 3(3): 35002 (2022) - [i17]Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo
The CAMELS project: public data release. CoRR abs/2201.01300 (2022) - [i16]Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, David N. Spergel, Miles D. Cranmer
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter. CoRR abs/2201.01305 (2022) - [i15]Leander Thiele, Miles D. Cranmer, William R. Coulton, Shirley Ho
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks. CoRR abs/2203.00026 (2022) - [i14]Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation. CoRR abs/2206.04573 (2022) - [i13]Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho
Field Level Neural Network Emulator for Cosmological N-body Simulations. CoRR abs/2206.04594 (2022) - [i12]Digvijay Wadekar, Leander Thiele, J. Colin Hill, Shivam Pandey, Francisco Villaescusa-Navarro, David N. Spergel, Miles D. Cranmer, Daisuke Nagai, Daniel Anglés-Alcázar, Shirley Ho, Lars Hernquist:
The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback. CoRR abs/2209.02075 (2022) - 2021
- [i11]Miles D. Cranmer
A Bayesian neural network predicts the dissolution of compact planetary systems. CoRR abs/2101.04117 (2021) - [i10]Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Yin Li, Benjamin D. Wandelt, Andrina Nicola
Multifield Cosmology with Artificial Intelligence. CoRR abs/2109.09747 (2021) - [i9]Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin D. Wandelt, Leander Thiele, Andrina Nicola
Robust marginalization of baryonic effects for cosmological inference at the field level. CoRR abs/2109.10360 (2021) - [i8]Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR abs/2109.10915 (2021) - [i7]Pablo Villanueva-Domingo
Inferring halo masses with Graph Neural Networks. CoRR abs/2111.08683 (2021) - [i6]Pablo Villanueva-Domingo
Weighing the Milky Way and Andromeda with Artificial Intelligence. CoRR abs/2111.14874 (2021) - 2020
- [c1]Miles D. Cranmer, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Rui Xu, Kyle Cranmer, David N. Spergel, Shirley Ho:
Discovering Symbolic Models from Deep Learning with Inductive Biases. NeurIPS 2020 - [i5]Miles D. Cranmer
Lagrangian Neural Networks. CoRR abs/2003.04630 (2020) - [i4]Miles D. Cranmer
Discovering Symbolic Models from Deep Learning with Inductive Biases. CoRR abs/2006.11287 (2020) - [i3]T. Lucas Makinen
deep21: a Deep Learning Method for 21cm Foreground Removal. CoRR abs/2010.15843 (2020) - [i2]Renan Alves de Oliveira
Fast and Accurate Non-Linear Predictions of Universes with Deep Learning. CoRR abs/2012.00240 (2020)
2010 – 2019
- 2019
- [i1]Miles D. Cranmer
Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates. CoRR abs/1908.08045 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: