FL
François Lanusse
astro-ph.COastro-ph.IMcs.LGastro-ph.GAstat.MLcs.AIcs.CVastro-ph.SRLibrary and Information ScienceScience and Technology Studies
On Valency
published · living versionsW_ntw4svwd·v1 · currentpublished
W_zvtvkxzk·v1published
Preprints & journals
101 papers in the corpus · 2011–2026The Cross-Survey Decade: A Call to Action2608.19272v1 · Gioia Rau, Robert Benjamin, Federica Bianco 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
Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence2606.01470v1 · Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux et al.2026 · 0 citationsarXiv
MIMIC: A Generative Multimodal Foundation Model for Biomolecules2604.24506v1 · Siavash Golkar, Jake Kovalic, Irina Espejo Morales et al.2026 · 1 citationarXiv
Representation Learning for Spatiotemporal Physical Systems2603.13227v1 · Helen Qu, Rudy Morel, Michael McCabe et al.2026 · 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
Semantic search for 100M+ galaxy images using AI-generated captions2512.11982v2 · Nolan Koblischke, Liam Parker, Francois Lanusse et al.2025 · 0 citationsarXiv
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme2511.19390v1 · Rudy Morel, Francesco Pio Ramunno, Jeff Shen et al.2025 · 0 citationsarXiv
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics2511.15684v2 · Michael McCabe, Payel Mukhopadhyay, Tanya Marwah et al.2025 · 0 citationsProceedings of the 43rd International Conference on Machine Learning (ICML 2026)
Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics2510.26593v1 · Arne Thomsen, Tilman Troster, Francois Lanusse2025 · 0 citationsarXiv
Bridging Simulators with Conditional Optimal Transport2510.24631v1 · Justine Zeghal, Benjamin Remy, Yashar Hezaveh et al.2025 · 0 citationsarXiv
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning2510.17959v2 · Jeff Shen, Francois Lanusse, Liam Holden Parker et al.2025 · 0 citationsarXiv
AION-1: Omnimodal Foundation Model for Astronomical Sciences2510.17960v1 · Liam Parker, Francois Lanusse, Jeff Shen et al.2025 · 2 citationsarXiv
Analysing the prevalence of tidal features in HSC-SSP using self-supervised representation learning2509.18274v1 · A. Desmons, S. Brough, F. Lanusse et al.2025 · 2 citationsarXiv
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation2507.02608v4 · Francois Rozet, Ruben Ohana, Michael McCabe et al.2025 · 0 citationsarXiv
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference2507.01820v1 · Nicolas Cerardi, Marguerite Pierre, Francois Lanusse et al.2025 · 4 citationsA&A 701, A110 (2025)
Benchmarking field-level cosmological inference from galaxy redshift surveys2504.20130v2 · Hugo Simon, Francois Lanusse, Arnaud de Mattia2025 · 2 citationsJCAP12(2025)039
Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model2503.15312v1 · M. Siudek, M. Huertas-Company, M. Smith et al.2025 · 1 citationarXiv
Measuring the intracluster light fraction with machine learning2501.08378v1 · Louisa Canepa, Sarah Brough, Francois Lanusse et al.2025 · 4 citationsarXiv
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data2412.02527v1 · The Multimodal Universe Collaboration. Eirini Angeloudi, Jeroen Audenaert, Micah Bowles et al.2024 · 5 citationsarXiv
Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments2409.18761v1 · Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum2024 · 3 citationsarXiv
Simulation-Based Inference Benchmark for Weak Lensing Cosmology2409.17975v2 · Justine Zeghal, Denise Lanzieri, Francois Lanusse et al.2024 · 11 citationsA&A 699, A327 (2025)
Teaching dark matter simulations to speak the halo language2409.11401v1 · Shivam Pandey, Francois Lanusse, Chirag Modi et al.2024 · 0 citationsarXiv
The cosmological analysis of X-ray cluster surveys: VI. Inference based on analytically simulated observable diagrams2409.06001v1 · M. Kosiba, N. Cerardi, M. Pierre et al.2024 · 5 citationsA&A 693, A46 (2025)
Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference2407.10877v2 · Denise Lanzieri, Justine Zeghal, T. Lucas Makinen et al.2024 · 13 citationsA&A 697, A162 (2025)
Learning Diffusion Priors from Observations by Expectation Maximization2405.13712v5 · Francois Rozet, G'erome Andry, Francois Lanusse et al.2024 · 9 citationsarXiv
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics2312.11707v1 · Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum2023 · 7 citationsarXiv
An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations2311.07374v3 · Nicholas Van Alfen, Duncan Campbell, Jonathan Blazek et al.2023 · 10 citationsOpen Journal of Astrophysics, 7 (2024)
xVal: A Continuous Numerical Tokenization for Scientific Language Models2310.02989v2 · Siavash Golkar, Mariel Pettee, Michael Eickenberg et al.2023 · 8 citationsarXiv
Multiple Physics Pretraining for Physical Surrogate Models2310.02994v2 · Michael McCabe, Bruno R'egaldo-Saint Blancard, Liam Holden Parker et al.2023 · 17 citationsarXiv
AstroCLIP: A Cross-Modal Foundation Model for Galaxies2310.03024v2 · Liam Parker, Francois Lanusse, Siavash Golkar et al.2023 · 70 citationsarXiv
Detecting Galaxy Tidal Features Using Self-Supervised Representation Learning2308.07962v2 · Alice Desmons, Sarah Brough, Francois Lanusse2023 · 15 citationsarXiv
Detecting Tidal Features using Self-Supervised Representation Learning2307.04967v1 · Alice Desmons, Sarah Brough, Francois Lanusse2023 · 1 citationarXiv
Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations2305.07531v1 · Denise Lanzieri, Francois Lanusse, Chirag Modi et al.2023 · 12 citationsA&A 679, A61 (2023)
JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library2302.05163v2 · Jean-Eric Campagne, Francois Lanusse, Joe Zuntz et al.2023 · 54 citationsarXiv
Modeling halo and central galaxy orientations on the SO(3) manifold with score-based generative models2212.05592v1 · Yesukhei Jagvaral, Rachel Mandelbaum, Francois Lanusse2022 · 0 citationsarXiv
Galaxies on graph neural networks: towards robust synthetic galaxy catalogs with deep generative models2212.05596v1 · Yesukhei Jagvaral, Francois Lanusse, Sukhdeep Singh et al.2022 · 0 citationsarXiv
The N5K Challenge: Non-Limber Integration for LSST Cosmology2212.04291v2 · C. D. Leonard, T. Ferreira, X. Fang et al.2022 · 25 citationsarXiv
Differentiable Cosmological Simulation with Adjoint Method2211.09815v2 · Yin Li, Chirag Modi, Drew Jamieson et al.2022 · 22 citationsarXiv
pmwd: A Differentiable Cosmological Particle-Mesh -body Library2211.09958v1 · Yin Li, Libin Lu, Chirag Modi et al.2022 · 14 citationsarXiv
Differentiable Stochastic Halo Occupation Distribution2211.03852v1 · Benjamin Horowitz, ChangHoon Hahn, Francois Lanusse et al.2022 · 6 citationsarXiv
Towards solving model bias in cosmic shear forward modeling2210.16243v2 · Benjamin Remy, Francois Lanusse, Jean-Luc Starck2022 · 0 citationsarXiv
The DAWES review 10: The impact of deep learning for the analysis of galaxy surveys2210.01813v1 · Marc Huertas-Company, Francois Lanusse2022 · 102 citationsarXiv
From Data to Software to Science with the Rubin Observatory LSST2208.02781v1 · Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford et al.2022 · 3 citationsarXiv
Hybrid Physical-Neural ODEs for Fast N-body Simulations2207.05509v2 · Denise Lanzieri, Francois Lanusse, Jean-Luc Starck2022 · 4 citationsarXiv
Neural Posterior Estimation with Differentiable Simulators2207.05636v1 · Justine Zeghal, Francois Lanusse, Alexandre Boucaud et al.2022 · 4 citationsarXiv
Galaxies and Halos on Graph Neural Networks: Deep Generative Modeling Scalar and Vector Quantities for Intrinsic Alignment2204.07077v3 · Yesukhei Jagvaral, Francois Lanusse, Sukhdeep Singh et al.2022 · 11 citationsarXiv
ShapeNet: Shape Constraint for Galaxy Image Deconvolution2203.07412v1 · F. Nammour, U. Akhaury, J. N. Girard et al.2022 · 0 citationsA&A 663, A69 (2022)
Probabilistic Mass Mapping with Neural Score Estimation2201.05561v2 · Benjamin Remy, Francois Lanusse, Niall Jeffrey et al.2022 · 39 citationsarXiv
Rubin-Euclid Derived Data Products: Initial Recommendations2201.03862v2 · Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet et al.2022 · 1 citationarXiv
Career total: at least 179 works. 101 are in this corpus.Showing the 50 most recent.
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