Differentiable and Probabilistic Programming for Fundamental Physics

Welcome to MIAPbP - Introduction

Introduction from the Organizers

MIAPP_Welcome.pdf

"Towards End-to-End Automatically Differentiable Cosmological Galaxy Survey Simulations": https://eiffl.github.io/talks/Munich2023

Francois Lanusse

“Differentiable Simulation for Calibration and Parameter Inference”

Sean Gasiorowski

Gasiorowski_Slides.pdf

"Differentiable Forward Modeling the Connection Between Galaxies and Dark Matter Halos”

Andrew Hearin

Hearin_Slides.pdf

"Intro to particle physics and SBI in particle physics”

Aishik Ghosh

Ghosh_Slides.pdf

Discussion and networking - BBQ

"AD for an Array Language Supporting Nested Parallelism"

Cosmin Oancea

Oancea_Abstract.pdf

"Nested Sampling with gradients: the present state of the art"

Will Handley

Handley_Slides.pdf

Public holiday

"Differentiable Vertex Fitting for Jet Flavor Tagging"

Rachel Smith

Smith_Slides.pdf

"Automatically Differentiable Weak Lensing Simulations for Full-Field Cosmological Inference"

Denise Lanzieri

"Estimating Floating Point Errors, The Automatic Differentiation Way"

Baidyanath Kundu

Kundu_Slides.pdf

Intro of the Week

"Applied Measure Theory for Probabilistic Modeling"

Chad Scherrer

"Differential Programming with CoDiPack - An Overview and Applications“

Nicolas Gauger

Talk

"Solving Galactic dynamics with differentiable programming"

Siddarth Mishra-Sharma

Discussion and networking - Bavarian Brotzeit

"Reconstructing cosmological fields with differentiable simulations"

Chirag Modi

Talk

Talk

Talk

William Moses

Talk

Talk

Ludger Paehler

"Differentiating GATE/Geant4 with Derivgrind"

Max Aehle