Robust Field Level Likelihood Free

Media Summary: This video summarizes the results of our paper: " I will briefly review state-of-the-art approaches based on an explicit UBC Physics & Astronomy Department Colloquium on October 18, 2021. Presented by Joe DeRose (UC Berkeley).

Robust Field Level Likelihood Free - Detailed Analysis & Overview

This video summarizes the results of our paper: " I will briefly review state-of-the-art approaches based on an explicit UBC Physics & Astronomy Department Colloquium on October 18, 2021. Presented by Joe DeRose (UC Berkeley). Abstract: Modern statistics and machine learning tools are being applied to increasingly complex phenomenon, and as a result ... Nhat-Minh Nguyen and Beatrice Tucci tell us about their recent work comparing the performance of

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Robust field-level likelihood-free inference with galaxies

Dealing with systematic effects: the issue of robustness to model misspecification

Robust cosmological inference from galaxy clustering and weak lensing using cosmological simulations

François-Xavier Briol: Kernel-based robust inference for intractable likelihood models

Field Level Inference - Up to 5σ Better than Power & Bispectrum! (Minh Nguyen & Beatriz Tucci)

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Robust field-level likelihood-free inference with galaxies

Robust field-level likelihood-free inference with galaxies

This video summarizes the results of our paper: "

Dealing with systematic effects: the issue of robustness to model misspecification

Dealing with systematic effects: the issue of robustness to model misspecification

I will briefly review state-of-the-art approaches based on an explicit

Robust cosmological inference from galaxy clustering and weak lensing using cosmological simulations

Robust cosmological inference from galaxy clustering and weak lensing using cosmological simulations

UBC Physics & Astronomy Department Colloquium on October 18, 2021. Presented by Joe DeRose (UC Berkeley).

François-Xavier Briol: Kernel-based robust inference for intractable likelihood models

François-Xavier Briol: Kernel-based robust inference for intractable likelihood models

Abstract: Modern statistics and machine learning tools are being applied to increasingly complex phenomenon, and as a result ...

Field Level Inference - Up to 5σ Better than Power & Bispectrum! (Minh Nguyen & Beatriz Tucci)

Field Level Inference - Up to 5σ Better than Power & Bispectrum! (Minh Nguyen & Beatriz Tucci)

Nhat-Minh Nguyen and Beatrice Tucci tell us about their recent work comparing the performance of