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Laurence Perreault-Levasseur

astro-ph.IMastro-ph.COastro-ph.GAcs.LGstat.MLgr-qchep-thcs.CVcs.AIstat.ME

On Valency

published · living versions
W_ntw4svwd·v1 · currentpublished
Bayesian Neural Networks
with Tom Charnock, François Lanusse
1 version

Preprints & journals

80 papers in the corpus · 2010–2026
Microcaustics: Fast GPU-Accelerated Dynamical Microlensing of Time-Dependent Extended Sources2610.19703v1 · Joshua Fagin, Connor Stone, James Hung-Hsu Chan et al.2026 · 0 citationsarXiv
Cool Embeddings: Predicting Galaxy Cluster Cooling Times in IllustrisTNG and TNG-Cluster with AstroCLIP2609.32582v1 · Rawan Karam, Carter Lee Rhea, Julie Hlavacek-Larrondo et al.2026 · 0 citationsarXiv
Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit2609.02766v3 · Wassim Tenachi, Yashar Hezaveh, Laurence Perreault Levasseur et al.2026 · 0 citationsarXiv
Microlensing Detection and Inference via Learned Bayes Factors2607.20260v1 · Nolan Smyth, Laurence Perreault-Levasseur, Yashar Hezaveh2026 · 0 citationsarXiv
Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines2607.19459v1 · Guillaume Payeur, Laurence Perreault-Levasseur, Gabriel Missael Barco et al.2026 · 0 citationsarXiv
Towards Practical Field-Level Inference for Weak Lensing2606.12255v1 · Yuuki Omori, Justine Zeghal, Chihway Chang et al.2026 · 0 citationsarXiv
MIRA: A Score for Conditional Distribution Accuracy and Model Comparison2605.02014v1 · Sammy Sharief, Justine Zeghal, Gabriel Missael Barco et al.2026 · 0 citationsarXiv
LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators2604.07438v2 · Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur et al.2026 · 0 citationsApJ 1007 190, published 2026 August 18
A Fast Generative Framework for High-dimensional Posterior Sampling: Application to CMB Delensing2603.04535v1 · Hadi Sotoudeh, Pablo Lemos, Laurence Perreault-Levasseur2026 · 0 citationsarXiv
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration2601.14235v1 · Eric Aubourg, Camille Avestruz, Matthew R. Becker et al.2026 · 0 citationsarXiv
Transformer Embeddings for Fast Microlensing Inference2512.11687v1 · Nolan Smyth, Laurence Perreault-Levasseur, Yashar Hezaveh2025 · 0 citationsarXiv
Neural Deprojection of Galaxy Stellar Mass Profiles2511.20746v1 · M. J. Yantovski-Barth, Hengyue Zhang, Nolan Smyth et al.2025 · 0 citationsarXiv
Pixellated Posterior Sampling of Point Spread Functions in Astronomical Images2511.19594v1 · Connor Stone, Ronan Legin, Alexandre Adam et al.2025 · 0 citationsarXiv
Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models2511.04792v1 · Gabriel Missael Barco, Ronan Legin, Connor Stone et al.2025 · 0 citationsarXiv
Bridging Simulators with Conditional Optimal Transport2510.24631v1 · Justine Zeghal, Benjamin Remy, Yashar Hezaveh et al.2025 · 0 citationsarXiv
Predicting the Subhalo Mass Functions in Simulations from Galaxy Images2510.14766v1 · Andreas Filipp, Tri Nguyen, Laurence Perreault-Levasseur et al.2025 · 0 citationsarXiv
The spatially-resolved effect of mergers on the stellar mass assembly of MaNGA galaxies2509.25340v1 · Eirini Angeloudi, Marc Huertas-Company, Jes'us Falc'on-Barroso et al.2025 · 3 citationsA&A 703, A290 (2025)
Massive Extremely High-Velocity Outflow in the Quasar J164653.72+243942.22508.14221v1 · Paola Rodr'iguez Hidalgo, Hyunseop Choi, Patrick B. Hall et al.2025 · 2 citationsarXiv
Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations2505.13620v2 · Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief et al.2025 · 3 citationsApJ 989 207 (2025)
Solving Bayesian inverse problems with diffusion priors and off-policy RL2503.09746v1 · Luca Scimeca, Siddarth Venkatraman, Moksh Jain et al.2025 · 0 citationsarXiv
Using Neural Networks to Automate the Identification of Brightest Cluster Galaxies in Large Surveys2502.00104v1 · Patrick Janulewicz, Tracy M.A. Webb, Laurence Perreault-Levasseur2025 · 1 citationarXiv
Galaxy cluster characterization with machine learning techniques2501.04081v1 · Maria Sadikov, Julie Hlavacek-Larrondo, Laurence Perreault Levasseur et al.2025 · 1 citationarXiv
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors2501.02473v1 · No'e Dia, M. J. Yantovski-Barth, Alexandre Adam et al.2025 · 0 citationsarXiv
Robustness of Neural Ratio and Posterior Estimators to Distributional Shifts for Population-Level Dark Matter Analysis in Strong Gravitational Lensing2411.05905v2 · Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur2024 · 2 citations2025, ApJ, Volume 989, Issue 2, id.226, 15 pp
Gravitational-Wave Parameter Estimation in non-Gaussian noise using Score-Based Likelihood Characterization2410.19956v1 · Ronan Legin, Maximiliano Isi, Kaze W. K. Wong et al.2024 · 7 citationsApJL 985 L46 (2025)
Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution2410.00965v2 · Zehao Jin, Mario Pasquato, Benjamin L. Davis et al.2024 · 5 citationsApJ 979 212 (2025)
Deconvolving X-ray Galaxy Cluster Spectra Using a Recurrent Inference Machine2409.10711v1 · Carter Rhea, Julie Hlavacek-Larrondo, Alexandre Adam et al.2024 · 0 citationsarXiv
Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics2408.00839v1 · Antoine Bourdin, Ronan Legin, Matthew Ho et al.2024 · 1 citationarXiv
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems2407.17667v2 · Gabriel Missael Barco, Alexandre Adam, Connor Stone et al.2024 · 5 citationsApJ 980 108 (2025)
Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations2406.15542v1 · Connor Stone, Alexandre Adam, Adam Coogan et al.2024 · 6 citationsarXiv
Multi-phase black-hole feedback and a bright [CII] halo in a Lo-BAL quasar at z∼6.6z\sim6.62404.12443v2 · Manuela Bischetti, Hyunseop Choi, Fabrizio Fiore et al.2024 · 26 citationsarXiv
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation2402.04355v4 · Pablo Lemos, Sammy Sharief, Esmeralda S. Whitammer et al.2024 · 2 citationsarXiv
Improving Gradient-guided Nested Sampling for Posterior Inference2312.03911v1 · Pablo Lemos, Nikolay Malkin, Will Handley et al.2023 · 0 citationsarXiv
Active learning meets fractal decision boundaries: a cautionary tale from the Sitnikov three-body problem2311.18010v1 · Nicolas Payot, Mario Pasquato, Alessandro Alberto Trani et al.2023 · 0 citationsarXiv
Bayesian Imaging for Radio Interferometry with Score-Based Priors2311.18012v1 · Noe Dia, M. J. Yantovski-Barth, Alexandre Adam et al.2023 · 1 citationarXiv
Unraveling the Mysteries of Galaxy Clusters: Recurrent Inference Deconvolution of X-ray Spectra2311.18014v1 · Carter Rhea, Julie Hlavacek-Larrondo, Ralph Kraft et al.2023 · 1 citationarXiv
Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies2311.18017v1 · Nicolas Payot, Pablo Lemos, Laurence Perreault-Levasseur et al.2023 · 1 citationarXiv
The search for the lost attractor2311.16306v1 · Mario Pasquato, Syphax Haddad, Pierfrancesco Di Cintio et al.2023 · 0 citationsarXiv
Lie Point Symmetry and Physics Informed Networks2311.04293v1 · Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter et al.2023 · 7 citationsarXiv
Time Delay Cosmography with a Neural Ratio Estimator2309.16063v1 · Eve Campeau-Poirier, Laurence Perreault-Levasseur, Adam Coogan et al.2023 · 2 citationsarXiv
AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images2308.01957v2 · Connor Stone, Stephane Courteau, Jean-Charles Cuillandre et al.2023 · 25 citationsarXiv
Strong gravitational lensing as a probe of dark matter2306.11781v1 · S. Vegetti, S. Birrer, G. Despali et al.2023 · 85 citationsarXiv
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference2302.03026v2 · Pablo Lemos, Adam Coogan, Yashar Hezaveh et al.2023 · 20 citationsarXiv
Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with non-Gaussian Noise2302.03046v1 · Ronan Legin, Alexandre Adam, Yashar Hezaveh et al.2023 · 24 citationsarXiv
Career total: at least 113 works. 80 are in this corpus.Showing the 50 most recent.

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