publications

automatically generated publication list from NASA's ADS service, powered by jekyll-scholar.

2023

  1. Detecting Tidal Features using Self-Supervised Representation Learning
    Alice Desmons, Sarah Brough, and Francois Lanusse
    arXiv e-prints Jul 2023
  2. Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations
    Denise Lanzieri, François Lanusse, Chirag Modi, and 4 more authors
    arXiv e-prints May 2023
  3. JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library
    Jean-Eric Campagne, François Lanusse, Joe Zuntz, and 7 more authors
    The Open Journal of Astrophysics Apr 2023
  4. Probabilistic mass-mapping with neural score estimation
    B. Remy, F. Lanusse, N. Jeffrey, and 4 more authors
    Astronomy and Astrophysics Apr 2023
  5. The N5K Challenge: Non-Limber Integration for LSST Cosmology
    C. Danielle Leonard, Tassia Ferreira, Xiao Fang, and 8 more authors
    The Open Journal of Astrophysics Feb 2023
  6. The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys
    M. Huertas-Company, and F. Lanusse
    Publications of the Astron. Soc. of Australia Jan 2023

2022

  1. Modeling halo and central galaxy orientations on the SO(3) manifold with score-based generative models
    Yesukhei Jagvaral, Rachel Mandelbaum, and Francois Lanusse
    arXiv e-prints Dec 2022
  2. pmwd: A Differentiable Cosmological Particle-Mesh N-body Library
    Yin Li, Libin Lu, Chirag Modi, and 7 more authors
    arXiv e-prints Nov 2022
  3. Differentiable Cosmological Simulation with Adjoint Method
    Yin Li, Chirag Modi, Drew Jamieson, and 5 more authors
    arXiv e-prints Nov 2022
  4. Differentiable Stochastic Halo Occupation Distribution
    Benjamin Horowitz, ChangHoon Hahn, Francois Lanusse, and 2 more authors
    arXiv e-prints Nov 2022
  5. Towards solving model bias in cosmic shear forward modeling
    Benjamin Remy, Francois Lanusse, and Jean-Luc Starck
    arXiv e-prints Oct 2022
  6. Galaxies and haloes on graph neural networks: Deep generative modelling scalar and vector quantities for intrinsic alignment
    Yesukhei Jagvaral, François Lanusse, Sukhdeep Singh, and 3 more authors
    Monthly Notices of the Royal Astronomical Society Oct 2022
  7. From Data to Software to Science with the Rubin Observatory LSST
    Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford, and 97 more authors
    arXiv e-prints Aug 2022
  8. Bayesian uncertainty quantification for machine-learned models in physics
    Yarin Gal, Petros Koumoutsakos, Francois Lanusse, and 2 more authors
    Nature Reviews Physics Aug 2022
  9. Hybrid Physical-Neural ODEs for Fast N-body Simulations
    Denise Lanzieri, Francois Lanusse, and Jean-Luc Starck
    In Machine Learning for Astrophysics Jul 2022
  10. Neural Posterior Estimation with Differentiable Simulator
    Justine Zeghal, Francois Lanusse, Alexandre Boucaud, and 2 more authors
    In Machine Learning for Astrophysics Jul 2022
  11. Galaxies on graph neural networks: towards robust synthetic galaxy catalogs with deep generative models
    Yesukhei Jagvaral, Rachel Mandelbaum, Francois Lanusse, and 3 more authors
    In Machine Learning for Astrophysics Jul 2022
  12. ShapeNet: Shape constraint for galaxy image deconvolution
    F. Nammour, U. Akhaury, J. N. Girard, and 4 more authors
    Astronomy and Astrophysics Jul 2022
  13. Rubin-Euclid Derived Data Products: Initial Recommendations
    Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet, and 118 more authors
    In Zenodo id. 5836022 Jan 2022
  14. Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era
    Eve Kovacs, Yao-Yuan Mao, Michel Aguena, and 36 more authors
    The Open Journal of Astrophysics Jan 2022
  15. Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models
    Euclid Collaboration, H. Bretonnière, M. Huertas-Company, and 194 more authors
    Astronomy and Astrophysics Jan 2022

2021

  1. Anomaly detection in Hyper Suprime-Cam galaxy images with generative adversarial networks
    Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra, and 5 more authors
    Monthly Notices of the Royal Astronomical Society Dec 2021
  2. The LSST-DESC 3x2pt Tomography Optimization Challenge
    Joe Zuntz, François Lanusse, Alex I. Malz, and 26 more authors
    The Open Journal of Astrophysics Oct 2021
  3. FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver
    C. Modi, F. Lanusse, and U. Seljak
    Astronomy and Computing Oct 2021
  4. Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction
    N. Jeffrey, M. Gatti, C. Chang, and 129 more authors
    Monthly Notices of the Royal Astronomical Society Aug 2021
  5. Adaptive wavelet distillation from neural networks through interpretations
    Wooseok Ha, Chandan Singh, Francois Lanusse, and 2 more authors
    arXiv e-prints Jul 2021
  6. Deep generative models for galaxy image simulations
    François Lanusse, Rachel Mandelbaum, Siamak Ravanbakhsh, and 3 more authors
    Monthly Notices of the Royal Astronomical Society Jul 2021
  7. Real-time Likelihood-free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation
    Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, and 3 more authors
    Astronomical Journal Jun 2021
  8. TheLastMetric: an information-based observing strategy metric for photometric redshifts, cosmology, and more
    A. I. Malz, F. Lanusse, M. L. Graham, and 1 more author
    In American Astronomical Society Meeting Abstracts Jun 2021
  9. Deep Probabilistic Modeling of Weak Lensing Mass Maps
    F. Lanusse, B. Remy, N. Jeffrey, and 2 more authors
    In American Astronomical Society Meeting Abstracts Jun 2021
  10. Weak-lensing mass reconstruction using sparsity and a Gaussian random field
    J. -L. Starck, K. E. Themelis, N. Jeffrey, and 2 more authors
    Astronomy and Astrophysics May 2021
  11. CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference Machines
    Chirag Modi, François Lanusse, Uroš Seljak, and 2 more authors
    arXiv e-prints Apr 2021
  12. An information-based metric for observing strategy optimization, demonstrated in the context of photometric redshifts with applications to cosmology
    Alex I. Malz, François Lanusse, John Franklin Crenshaw, and 1 more author
    arXiv e-prints Apr 2021
  13. A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations
    Lorenzo Zanisi, Marc Huertas-Company, François Lanusse, and 10 more authors
    Monthly Notices of the Royal Astronomical Society Mar 2021
  14. The LSST DESC DC2 Simulated Sky Survey
    LSST Dark Energy Science Collaboration (LSST DESC), Bela Abolfathi, David Alonso, and 77 more authors
    Astrophysical Journal, Supplement Mar 2021
  15. Likelihood-free inference with neural compression of DES SV weak lensing map statistics
    Niall Jeffrey, Justin Alsing, and François Lanusse
    Monthly Notices of the Royal Astronomical Society Feb 2021
  16. DESC DC2 Data Release Note
    LSST Dark Energy Science Collaboration, Bela Abolfathi, Robert Armstrong, and 54 more authors
    arXiv e-prints Jan 2021
  17. Automating Inference of Binary Microlensing Events with Neural Density Estimation
    K. Zhang, J. Bloom, B. Gaudi, and 3 more authors
    In American Astronomical Society Meeting Abstracts Jan 2021

2020

  1. Anomaly Detection in Astronomical Images with Generative Adversarial Networks
    Kate Storey-Fisher, Marc Huertas-Company, Nesar Ramachandra, and 4 more authors
    arXiv e-prints Dec 2020
  2. Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
    Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, and 2 more authors
    arXiv e-prints Nov 2020
  3. Probabilistic Mapping of Dark Matter by Neural Score Matching
    Benjamin Remy, Francois Lanusse, Zaccharie Ramzi, and 3 more authors
    arXiv e-prints Nov 2020
  4. Automating Inference of Binary Microlensing Events with Neural Density Estimation
    Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, and 3 more authors
    arXiv e-prints Oct 2020
  5. Bayesian Neural Networks
    Tom Charnock, Laurence Perreault-Levasseur, and François Lanusse
    arXiv e-prints Jun 2020
  6. Transformation Importance with Applications to Cosmology
    Chandan Singh, Wooseok Ha, Francois Lanusse, and 3 more authors
    arXiv e-prints Mar 2020
  7. Deep learning dark matter map reconstructions from DES SV weak lensing data
    Niall Jeffrey, François Lanusse, Ofer Lahav, and 1 more author
    Monthly Notices of the Royal Astronomical Society Mar 2020

2019

  1. Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
    Francois Lanusse, Peter Melchior, and Fred Moolekamp
    arXiv e-prints Dec 2019
  2. CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST
    Danila Korytov, Andrew Hearin, Eve Kovacs, and 28 more authors
    Astrophysical Journal, Supplement Dec 2019
  3. Uncertainty Quantification with Generative Models
    Vanessa Böhm, François Lanusse, and Uroš Seljak
    arXiv e-prints Oct 2019
  4. The Role of Machine Learning in the Next Decade of Cosmology
    Michelle Ntampaka, Camille Avestruz, Steven Boada, and 27 more authors
    Bulletin of the AAS May 2019
  5. Core Cosmology Library: Precision Cosmological Predictions for LSST
    Nora Elisa Chisari, David Alonso, Elisabeth Krause, and 28 more authors
    Astrophysical Journal, Supplement May 2019
  6. The strong gravitational lens finding challenge
    R. B. Metcalf, M. Meneghetti, C. Avestruz, and 34 more authors
    Astronomy and Astrophysics May 2019
  7. Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
    Chiaki Hikage, Masamune Oguri, Takashi Hamana, and 34 more authors
    Publications of the ASJ Apr 2019

2018

  1. Weak lensing shear calibration with simulations of the HSC survey
    Rachel Mandelbaum, François Lanusse, Alexie Leauthaud, and 8 more authors
    Monthly Notices of the Royal Astronomical Society Dec 2018
  2. Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV
    N. Jeffrey, F. B. Abdalla, O. Lahav, and 66 more authors
    Monthly Notices of the Royal Astronomical Society Sep 2018
  3. The clustering of z > 7 galaxies: predictions from the BLUETIDES simulation
    Aklant K. Bhowmick, Tiziana Di Matteo, Yu Feng, and 1 more author
    Monthly Notices of the Royal Astronomical Society Mar 2018
  4. DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
    Yao-Yuan Mao, Eve Kovacs, Katrin Heitmann, and 25 more authors
    Astrophysical Journal, Supplement Feb 2018
  5. The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey
    Rachel Mandelbaum, Hironao Miyatake, Takashi Hamana, and 28 more authors
    Publications of the ASJ Jan 2018
  6. CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding
    François Lanusse, Quanbin Ma, Nan Li, and 5 more authors
    Monthly Notices of the Royal Astronomical Society Jan 2018

2017

  1. Lsstdesc/Descqa: Descqa V2 Alpha Release (V2.0.0-0.4.5)
    Yao-Yuan Mao,  tomuram, Rongpu Zhou, and 9 more authors
    Dec 2017
  2. Rainwoodman/Bigfile 0.1.39
    Yu Feng, Simeon Bird, and Francois Lanusse
    Nov 2017
  3. Rainwoodman/Bigfile 0.1.39
    Yu Feng, Simeon Bird, and Francois Lanusse
    Nov 2017
  4. Sparse Reconstruction of the Merging A520 Cluster System
    Austin Peel, François Lanusse, and Jean-Luc Starck
    Astrophysical Journal Sep 2017
  5. Cosmological constraints with weak-lensing peak counts and second-order statistics in a large-field survey
    Austin Peel, Chieh-An Lin, François Lanusse, and 3 more authors
    Astronomy and Astrophysics Mar 2017
  6. Cosmological constraints with weak lensing peak counts and second-order statistics in a large-field survey
    Austin Peel, Chieh-An Lin, Francois Lanusse, and 3 more authors
    In American Astronomical Society Meeting Abstracts #229 Jan 2017
  7. Deep Generative Models of Galaxy Images for the Calibration of the Next Generation of Weak Lensing Surveys
    Francois Lanusse, Siamak Ravanbakhsh, Rachel Mandelbaum, and 2 more authors
    In American Astronomical Society Meeting Abstracts #229 Jan 2017

2016

  1. Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
    Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, and 2 more authors
    arXiv e-prints Sep 2016
  2. High resolution weak lensing mass mapping combining shear and flexion
    F. Lanusse, J. -L. Starck, A. Leonard, and 1 more author
    Astronomy and Astrophysics Jun 2016

2015

  1. 3D galaxy clustering with future wide-field surveys: Advantages of a spherical Fourier-Bessel analysis
    F. Lanusse, A. Rassat, and J. -L. Starck
    Astronomy and Astrophysics Jun 2015
  2. Weak lensing reconstructions in 2D and 3D: implications for cluster studies
    Adrienne Leonard, François Lanusse, and Jean-Luc Starck
    Monthly Notices of the Royal Astronomical Society May 2015
  3. SNIa detection in the SNLS photometric analysis using Morphological Component Analysis
    A. Möller, V. Ruhlmann-Kleider, F. Lanusse, and 3 more authors
    Journal of Cosmology and Astroparticle Physics Apr 2015

2014

  1. PRISM: Recovery of the primordial spectrum from Planck data
    F. Lanusse, P. Paykari, J. -L. Starck, and 3 more authors
    Astronomy and Astrophysics Nov 2014
  2. Cluster identification with 3D weak lensing density reconstructions
    Adrienne Leonard, Fran’e7ois Lanusse, and Jean-Luc Starck
    In Building the Euclid Cluster Survey - Scientific Program Jul 2014
  3. PRISM: Sparse recovery of the primordial power spectrum
    P. Paykari, F. Lanusse, J. -L. Starck, and 2 more authors
    Astronomy and Astrophysics Jun 2014
  4. GLIMPSE: accurate 3D weak lensing reconstructions using sparsity
    Adrienne Leonard, François Lanusse, and Jean-Luc Starck
    Monthly Notices of the Royal Astronomical Society May 2014
  5. Combining Probes
    Anaı̈s Rassat, François Lanusse, Donnacha Kirk, and 2 more authors
    In Statistical Challenges in 21st Century Cosmology May 2014
  6. Density reconstruction from 3D lensing: Application to galaxy clusters
    François Lanusse, Adrienne Leonard, and Jean-Luc Starck
    In Statistical Challenges in 21st Century Cosmology May 2014
  7. PRISM: Sparse recovery of the primordial spectrum from WMAP9 and Planck datasets
    P. Paykari, F. Lanusse, J. -L. Starck, and 2 more authors
    In Statistical Challenges in 21st Century Cosmology May 2014

2013

  1. Imaging dark matter using sparsity
    François Lanusse, Adrienne Leonard, and Jean-Luc Starck
    In Wavelets and Sparsity XV Sep 2013
  2. 3D sparse representations on the sphere and applications in astronomy
    François Lanusse, and Jean-Luc Starck
    In Wavelets and Sparsity XV Sep 2013

2012

  1. Spherical 3D isotropic wavelets
    F. Lanusse, A. Rassat, and J. -L. Starck
    Astronomy and Astrophysics Apr 2012