Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Sebastian Wagner-Carena
Observed names:
S. Wagner-Carena,
Wagner-Carena, Sebastian
Institution:
Flatiron Institute
Observed institutions:
Harvard University,
SLAC National Accelerator Laboratory,
Kavli Institute for Particle Astrophysics and Cosmology,
Simons Foundation,
Flatiron Institute,
New York University,
Stanford University
show all 7
ORCID:
0000-0001-5039-1685
Observed ORCID:
0000-0001-5039-1685
OpenAlex ID:
A5000635779
TDCOSMO
2020
·
S. Birrer
, A. J. Shajib
, et al.
·
Astronomy and Astrophysics
·
393
lenstronomy II: A gravitational lensing software ecosystem
2021
·
Simon Birrer
, Anowar Shajib
, et al.
·
The Journal of Open Source Software
·
191
PDF
Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass
2023
·
Ethan O. Nadler
, Philip Mansfield
, et al.
·
The Astrophysical Journal
·
58
Hierarchical Inference with Bayesian Neural Networks: An Application to Strong Gravitational Lensing
2021
·
Sebastian Wagner-Carena
, Ji Won Park
, et al.
·
The Astrophysical Journal
·
54
PDF
From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses
2023
·
Sebastian Wagner-Carena
, Jelle Aalbers
, et al.
·
The Astrophysical Journal
·
39
Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
2021
·
Ji Won Park
, Sebastian Wagner-Carena
, et al.
·
The Astrophysical Journal
·
38
PDF
Simulated Annealing for JPEG Quantization
2018
·
Max Hopkins
, Michael Mitzenmacher
, et al.
·
DCC
·
18
PDF
A novel CMB component separation method: hierarchical generalized morphological component analysis
2020
·
Sebastian Wagner-Carena
, Max Hopkins
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
11
PDF
A Strong Gravitational Lens Is Worth a Thousand Dark Matter Halos: Inference on Small-scale Structure Using Sequential Methods
2024
·
Sebastian Wagner-Carena
, Jaehoon Lee
, et al.
·
The Astrophysical Journal
·
9
Lens Modeling of STRIDES Strongly Lensed Quasars Using Neural Posterior Estimation
2025
·
Sydney Erickson
, Sebastian Wagner-Carena
, et al.
·
The Astronomical Journal
·
7
PDF
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
2023
·
Ji Won Park
, Simon Birrer
, et al.
·
The Astrophysical Journal
·
5
PDF
AION-1: Omnimodal Foundation Model for Astronomical Sciences
2025
·
Liam Parker
, Francois Lanusse
, et al.
·
neural information processing systems
·
2
PDF
Measuring the Vertical Structure of Active Galactic Nuclei Disks with Transformer Models and the Vera C. Rubin Observatory
2026
·
Amy Secunda
, Sebastian Wagner-Carena
, et al.
·
The Astrophysical Journal
PDF
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning
2025
·
Shen, Jeff
, Lanusse, Francois
, et al.
·
arXiv (Cornell University)
PDF
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
2025
·
Sebastian Wagner-Carena
, Aizhan Akhmetzhanova
, et al.
·
neural information processing systems
PDF
From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses -- Data
2022
·
Wagner-Carena, Sebastian
, Aalbers, Jelle
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant - Datasets, Trained Models, BNN Samples, and MCMC Chains
2020
·
Park, Ji Won
, Wagner-Carena, Sebastian
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing - Model Weights, Chains, BNN Samples, and Simulated Datasets
2020
·
Wagner-Carena, Sebastian
, Park, Ji Won
, et al.
·
Figshare
"What's (the) Matter?", A Show on Elementary Particle Physics with 28 Demonstration Experiments
2016
·
Dreiner, Herbi K.
, Becker, Max
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
26
Citation count:
826
H-index:
9
I10-index:
8
Year
Topic
Type
