Francois Lanusse | DeepAI

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∙ 10/28/2022

Towards solving model bias in cosmic shear forward modeling

As the volume and quality of modern galaxy surveys increase, so does the...

0 Benjamin Remy, et al. ∙

∙ 07/12/2022

Neural Posterior Estimation with Differentiable Simulators

Simulation-Based Inference (SBI) is a promising Bayesian inference frame...

0 Justine Zeghal, et al. ∙

∙ 07/12/2022

Hybrid Physical-Neural ODEs for Fast N-body Simulations

We present a new scheme to compensate for the small-scales approximation...

0 Denise Lanzieri, et al. ∙

∙ 01/14/2022

Probabilistic Mass Mapping with Neural Score Estimation

Weak lensing mass-mapping is a useful tool to access the full distributi...

5 Benjamin Remy, et al. ∙

∙ 02/10/2021

Real-Time Likelihood-free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation

Fast and automated inference of binary-lens, single-source (2L1S) microl...

1 Keming Zhang, et al. ∙

∙ 11/16/2020

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

Deep neural networks have proven extremely efficient at solving a wide r...

0 Zaccharie Ramzi, et al. ∙

∙ 10/08/2020

Automating Inference of Binary Microlensing Events with Neural Density Estimation

Automated inference of binary microlensing events with traditional sampl...

0 Keming Zhang, et al. ∙

∙ 03/04/2020

Transformation Importance with Applications to Cosmology

Machine learning lies at the heart of new possibilities for scientific d...

5 Chandan Singh, et al. ∙

∙ 12/09/2019

Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems

We present a Bayesian machine learning architecture that combines a phys...

0 Francois Lanusse, et al. ∙

∙ 10/22/2019

Uncertainty Quantification with Generative Models

We develop a generative model-based approach to Bayesian inverse problem...

0 Vanessa Böhm, et al. ∙

∙ 09/19/2016

Enabling Dark Energy Science with Deep Generative Models of Galaxy Images

Understanding the nature of dark energy, the mysterious force driving th...

0 Siamak Ravanbakhsh, et al. ∙

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