Laurence Perreault Levasseur

Using Neural Networks to Automate the Identification of Brightest Cluster Galaxies in Large Surveys

#1

(Jan 31, 2025)

Published in:
- Astrophys.J. 981 (2025) 2, 117
•
e-Print:
- 2502.00104 [astro-ph.GA]

Robustness of Neural Ratio and Posterior Estimators to Distributional Shifts for Population-Level Dark Matter Analysis in Strong Gravitational Lensing

#2

(Nov 8, 2024)

e-Print:
- 2411.05905 [astro-ph.CO]

pdf

reference search1 citation

Gravitational-Wave Parameter Estimation in non-Gaussian noise using Score-Based Likelihood Characterization

#3

(Oct 25, 2024)

e-Print:
- 2410.19956 [astro-ph.IM]

pdf

reference search1 citation

Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics

#4

Antoine Bourdin
(
- McGill U. and
- CERCA, Montreal
)
,
Ronan Legin
(
- CERCA, Montreal and
- Unlisted, CA and
- Montreal U.
)
,
Matthew Ho
(
- Paris, Inst. Astrophys.
)
,
Alexandre Adam
(
- CERCA, Montreal and
- Unlisted, CA and
- Montreal U.
)
,
Yashar Hezaveh
(
- CERCA, Montreal and
- Unlisted, CA and
- Montreal U. and
- CCA, New York and
- Perimeter Inst. Theor. Phys. and
- McGill U., Montreal (main)
)

et al.

(Aug 1, 2024)

Contribution to:
- ICML 2024
•
e-Print:
- 2408.00839 [astro-ph.CO]

pdf

reference search4 citations

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems

#5

(Jul 24, 2024)

Published in:
- Astrophys.J. 980 (2025) 1, 108
•
e-Print:
- 2407.17667 [astro-ph.IM]

DOI

reference search2 citations

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations

#6

et al.

(Jun 21, 2024)

Published in:
- J.Open Source Softw. 9 (2024) 103, 7081
•
e-Print:
- 2406.15542 [astro-ph.IM]

DOI

reference search4 citations

Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies

#7

et al.

(Nov 29, 2023)

Contribution to:
- NeurIPS 2023
•
e-Print:
- 2311.18017 [astro-ph.CO]

pdf

reference search3 citations

Bayesian Imaging for Radio Interferometry with Score-Based Priors

#8

et al.

(Nov 29, 2023)

e-Print:
- 2311.18012 [astro-ph.IM]

pdf

reference search2 citations

Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors

#9

et al.

(Nov 29, 2023)

Published in:
- Astron.J. 169 (2025) 5, 254
•
e-Print:
- 2311.18002 [astro-ph.IM]

DOI

reference search2 citations

Time Delay Cosmography with a Neural Ratio Estimator

#10

(Sep 27, 2023)

Contribution to:
- ICML 2023
•
e-Print:
- 2309.16063 [astro-ph.IM]

pdf

reference search4 citations

Strong Gravitational Lensing as a Probe of Dark Matter

#11

et al.

(Jun 20, 2023)

Published in:
- Space Sci.Rev. 220 (2024) 5, 58
•
e-Print:
- 2306.11781 [astro-ph.CO]

DOI

reference search56 citations

Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models

#12

Ronan Legin
(
- Montreal U.
)
,
Matthew Ho
(
- Paris, Inst. Astrophys.
)
,
Pablo Lemos
(
- Montreal U. and
- CCA, New York
)
,
Laurence Perreault-Levasseur
(
- Montreal U. and
- CCA, New York and
- Perimeter Inst. Theor. Phys.
)
,
Shirley Ho
(
- CCA, New York
)

et al.

(Apr 7, 2023)

Published in:
- Mon.Not.Roy.Astron.Soc. 527 (2023) 1, L173-L178
•
e-Print:
- 2304.03788 [astro-ph.CO]

DOI

reference search22 citations

Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise

#13

(Feb 6, 2023)

Published in:
- Astrophys.J.Lett. 949 (2023) 2, L41
•
e-Print:
- 2302.03046 [astro-ph.IM]

DOI

reference search7 citations

Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems Using Recurrent Inference Machines

#14

(Jan 10, 2023)

Published in:
- Astrophys.J. 951 (2023) 1, 6
•
e-Print:
- 2301.04168 [astro-ph.IM]

DOI

reference search11 citations

A Framework for Obtaining Accurate Posteriors of Strong Gravitational Lensing Parameters with Flexible Priors and Implicit Likelihoods Using Density Estimation

#15

(Nov 30, 2022)

Published in:
- Astrophys.J. 943 (2023) 1, 4
•
e-Print:
- 2212.00044 [astro-ph.IM]

DOI

reference search12 citations

Posterior samples of source galaxies in strong gravitational lenses with score-based priors

#16

et al.

(Nov 7, 2022)

Contribution to:
- ml4ps2022
•
e-Print:
- 2211.03812 [astro-ph.IM]

pdf

reference search14 citations

ANDES, the high resolution spectrograph for the ELT: science case, baseline design and path to construction

#17

ANDES Consortium

•

A. Marconi
(
- Florence U. and
- INFN, Florence and
- Arcetri Observ.
)

et al.

(Aug 29, 2022)

Published in:
- Proc.SPIE Int.Soc.Opt.Eng. 12184 (2022) 1218424
•
Contribution to:
- SPIE Astronomical Telescopes + Instrumentation 2022

DOI

reference search9 citations

Population-Level Inference of Strong Gravitational Lenses with Neural Network-Based Selection Correction

#18

(Jul 8, 2022)

Contribution to:
- ICML 2022
•
e-Print:
- 2207.04123 [astro-ph.IM]

pdf

reference search5 citations

Pixelated Reconstruction of Gravitational Lenses using Recurrent Inference Machines

#19

(Jul 3, 2022)

Contribution to:
- ICML 2022
•
e-Print:
- 2207.01073 [astro-ph.IM]

pdf

reference search11 citations

#20

(May 25, 2022)

Published in:
- Astron.J. 163 (2022) 6, 292

DOI

reference search2 citations

Simulation-Based Inference of Strong Gravitational Lensing Parameters

#21

(Dec 9, 2021)

e-Print:
- 2112.05278 [astro-ph.CO]

pdf

reference search16 citations

CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference Machines

#22

Chirag Modi
(
- CCA, New York
)
,
François Lanusse
(
- AIM, Saclay
)
,
Uroš Seljak
(
- UC, Berkeley and
- LBL, Berkeley
)
,
David N. Spergel
(
- CCA, New York
)
,
Laurence Perreault-Levasseur
(
- Montreal U. and
- CCA, New York
)

(Apr 26, 2021)

e-Print:
- 2104.12864 [astro-ph.CO]

pdf

reference search20 citations

Modeling assembly bias with machine learning and symbolic regression

#23

(Nov 30, 2020)

e-Print:
- 2012.00111 [astro-ph.CO]

pdf

reference search27 citations

deep21: a deep learning method for 21 cm foreground removal

#24

T. Lucas Makinen
(
- Princeton U. and
- Paris, Inst. Astrophys.
)
,
Lachlan Lancaster
(
- Princeton U.
)
,
Francisco Villaescusa-Navarro
(
- Princeton U.
)
,
Peter Melchior
(
- Princeton U.
)
,
Shirley Ho
(
- Flatiron Inst., New York
)

et al.

(Oct 29, 2020)

Published in:
- JCAP 04 (2021) 081
•
e-Print:
- 2010.15843 [astro-ph.CO]

pdfDOI

reference search41 citations

HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks

#25

(Jul 20, 2020)

Published in:
- Astrophys.J. 916 (2021) 1, 42,
- Astrophys.J. 916 (2021) 1, 42
•
e-Print:
- 2007.10340 [astro-ph.CO]

pdfDOI

reference search33 citations

Laurence Perreault Levasseur(
U. Montreal (main)
)

Date of paper

Number of authors

Exclude RPP

Document Type

Collaborators

Collaboration

Affiliations

Laurence Perreault Levasseur(U. Montreal (main))

Date of paper

Number of authors

Exclude RPP

Document Type

Collaborators

Collaboration

Affiliations

Laurence Perreault Levasseur(
U. Montreal (main)
)