Workshop
Conclusion & Discussion

 

Francois Lanusse

Simons Foundation / CNRS

I can't believe we don't have a solution for that!?! 

Data Reduction with AI

Has Deep Learning Really Solved Image Processing?

Credit: Marc's Thursdays Talk

In total we have examined ∼ 50, 000 objects. On average one in 150 of the objects with [high] probability from the ResNet model is deemed a lens candidate through human inspection.

=> At the rate of LSST, this would mean needing human inspection for O(10^7) candidates

Deep Learning Representations Are Not Very Deep...

Credit: Tanaka's Thursday Talk

Credit: Anna's Thursday Talk

How do we build AI systems with a deep understanding of the data?

Pushing the limits of  physical inference with AI

Simulation-Based Inference  Works!

Credit: Konstantin's talk

Important point: If your simulator matches your Bayesian model, traditional MCMC should be equivalent to SBI

Credit:

Jennifer's talk

SBI is fast!

This is very exciting to make better use of available information!

Lu et al. 2023

We May Also be Able to Perform Field-Level Inference Explicitly!

Credit: Alan's talk

Credit: Yin's talk

Credit: Adrian's talk

Emulating Complex Simulations

Credit: Ben's talk

It's not necessarily an easy problem!

But can we build accurate enough models?

Credit: Paco's talk

And it's even worse than that!

Gatti, Jeffrey, Whiteway et al. (2023)

Impact of source clustering in weak lensing simulations

Impact of baryons on the power spectrum

Chisari et al. (2018)

What Solutions Can we Imagine for This Model Misspecifiation Problem ?

What would you like to be able to do with AI?

Francois' Answers

How do we build AI systems with a deep understanding of the data?

Creating a Deeper Connection to the Physics

Emergent Features in Self-Supervised Represenation

Towards more flexible architectures

Credit: Mariel's talk

What Solutions Can we Imagine for This Model Misspecifiation Problem ?

Hybrid Parametrization of Forward Model with Nuisance Parameters

Dai et al. 2018

Dai & Seljak 2021

AI4Phys

By eiffl

AI4Phys

  • 113