Laurence Perreault Levasseur

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Probability Mass

Bayesian Approaches

Markov Chain Monte Carlo Methods

Metropolis Hastings

Top Venues

Publications

Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault Levasseur
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems. CoRR (2024)
Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur, Yashar Hezaveh
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. CoRR (2024)
Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur
Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR (2023)
Alexandre Adam, Laurence Perreault Levasseur, Yashar Hezaveh, Max Welling
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines. CoRR (2023)
Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. CoRR (2023)
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Lie Point Symmetry and Physics-Informed Networks. NeurIPS (2023)
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Lie Point Symmetry and Physics Informed Networks. CoRR (2023)
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur
Improving Gradient-guided Nested Sampling for Posterior Inference. CoRR (2023)
Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. ICML (2023)
Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreault Levasseur
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors. CoRR (2023)
Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault Levasseur, Yashar Hezaveh, Yoshua Bengio
Posterior samples of source galaxies in strong gravitational lenses with score-based priors. CoRR (2022)
Tom Charnock, Laurence Perreault Levasseur, François Lanusse
Bayesian Neural Networks. CoRR (2020)
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault Levasseur, David N. Spergel
deep21: a Deep Learning Method for 21cm Foreground Removal. CoRR (2020)
Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley Ho
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks. CoRR (2019)