| Overview of the DESI Legacy Imaging Surveys A Dey, DJ Schlegel, D Lang, R Blum, K Burleigh, X Fan, JR Findlay, ... arXiv:1804.08657, 2018 | 1202 | 2018 |
| Detection of lensing substructure using ALMA observations of the dusty galaxy SDP. 81 YD Hezaveh, N Dalal, DP Marrone, YY Mao, W Morningstar, D Wen, ... The Astrophysical Journal 823 (1), 37, 2016 | 360 | 2016 |
| Fast automated analysis of strong gravitational lenses with convolutional neural networks YD Hezaveh, LP Levasseur, PJ Marshall Nature 548 (7669), 555-557, 2017 | 286 | 2017 |
| Uncertainties in parameters estimated with neural networks: Application to strong gravitational lensing LP Levasseur, YD Hezaveh, RH Wechsler The Astrophysical Journal Letters 850 (1), L7, 2017 | 159 | 2017 |
| A matter bounce by means of ghost condensation C Lin, RH Brandenberger, LP Levasseur Journal of Cosmology and Astroparticle Physics 2011 (04), 019, 2011 | 137 | 2011 |
| Measuring the power spectrum of dark matter substructure using strong gravitational lensing Y Hezaveh, N Dalal, G Holder, T Kisner, M Kuhlen, LP Levasseur Journal of Cosmology and Astroparticle Physics 2016 (11), 048, 2016 | 112 | 2016 |
| Data-driven reconstruction of gravitationally lensed galaxies using recurrent inference machines WR Morningstar, LP Levasseur, YD Hezaveh, R Blandford, P Marshall, ... The Astrophysical Journal 883 (1), 14, 2019 | 74 | 2019 |
| Defrosting in an emergent Galileon cosmology LP Levasseur, R Brandenberger, AC Davis Physical Review D 84 (10), 103512, 2011 | 71 | 2011 |
| deep21: a deep learning method for 21 cm foreground removal TL Makinen, L Lancaster, F Villaescusa-Navarro, P Melchior, S Ho, ... Journal of Cosmology and Astroparticle Physics 2021 (04), 081, 2021 | 42 | 2021 |
| Lagrangian formulation of stochastic inflation: Langevin equations, one-loop corrections and a proposed recursive approach LP Levasseur Physical Review D 88 (8), 083537, 2013 | 33 | 2013 |
| HInet: Generating neutral hydrogen from dark matter with neural networks D Wadekar, F Villaescusa-Navarro, S Ho, L Perreault-Levasseur The Astrophysical Journal 916 (1), 42, 2021 | 31 | 2021 |
| Recursive stochastic effects in valley hybrid inflation LP Levasseur, V Vennin, R Brandenberger Physical Review D 88 (8), 083538, 2013 | 26 | 2013 |
| Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks WR Morningstar, YD Hezaveh, LP Levasseur, RD Blandford, PJ Marshall, ... arXiv preprint arXiv:1808.00011, 2018 | 23 | 2018 |
| Bayesian neural networks T Charnock, L Perreault-Levasseur, F Lanusse Artificial Intelligence for High Energy Physics, 663-713, 2022 | 21 | 2022 |
| Backreaction and stochastic effects in single field inflation LP Levasseur, E McDonough Physical Review D 91 (6), 063513, 2015 | 20 | 2015 |
| Cleaning our own dust: simulating and separating galactic dust foregrounds with neural networks K Aylor, M Haq, L Knox, Y Hezaveh, L Perreault-Levasseur Monthly Notices of the Royal Astronomical Society 500 (3), 3889-3897, 2021 | 18 | 2021 |
| Analytical study of mode coupling in hybrid inflation LP Levasseur, G Laporte, R Brandenberger Physical Review D 82 (12), 123524, 2010 | 18 | 2010 |
| Posterior samples of source galaxies in strong gravitational lenses with score-based priors A Adam, A Coogan, N Malkin, R Legin, L Perreault-Levasseur, Y Hezaveh, ... arXiv preprint arXiv:2211.03812, 2022 | 15 | 2022 |
| Sampling-based accuracy testing of posterior estimators for general inference P Lemos, A Coogan, Y Hezaveh, L Perreault-Levasseur International Conference on Machine Learning, 19256-19273, 2023 | 14 | 2023 |
| GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters A Ghosh, CM Urry, A Rau, L Perreault-Levasseur, M Cranmer, ... The Astrophysical Journal 935 (2), 138, 2022 | 11 | 2022 |
