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Francois Lanusse

Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics

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Dec 18, 2023
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AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models

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Oct 04, 2023
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Multiple Physics Pretraining for Physical Surrogate Models

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Oct 04, 2023
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xVal: A Continuous Number Encoding for Large Language Models

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Oct 04, 2023
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Towards solving model bias in cosmic shear forward modeling

Oct 28, 2022
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Probabilistic Mass Mapping with Neural Score Estimation

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Jan 17, 2022
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Adaptive wavelet distillation from neural networks through interpretations

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Jul 19, 2021
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Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation

Feb 17, 2021
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Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

Nov 16, 2020
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Automating Inference of Binary Microlensing Events with Neural Density Estimation

Oct 08, 2020
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