Welcome to MIAPbP - Introduction

Introduction from the Organizers

"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

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

• Andrew Hearin

"Intro to particle physics and SBI in particle physics”

• Aishik Ghosh

Discussion and networking - BBQ

"AD for an Array Language Supporting Nested Parallelism"

• Cosmin Oancea

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

• Will Handley

Public holiday

"Differentiable Vertex Fitting for Jet Flavor Tagging"

• Rachel Smith

"Automatically Differentiable Weak Lensing Simulations for Full-Field Cosmological Inference": https://dlanzieri.github.io/talks/Munich2023/

• Denise Lanzieri

"Estimating Floating Point Errors, The Automatic Differentiation Way"

• Baidyanath Kundu

Intro of the Week

"Applied Measure Theory for Probabilistic Modeling": https://slides.com/cscherrer/2022-07-measuretheory-seattle-julia-meetup

• Chad Scherrer

"Differential Programming with CoDiPack - An Overview and Applications“

• Nicolas Gauger

TomOpt: Optimize a Muon Tomography Experiment with Differentiable Programming

• Pietro Vischia

"The Galactic Center Excess mystery and how differentiable programming can help resolve it"

• Siddarth Mishra-Sharma

Discussion and networking - Bavarian Brotzeit

"Reconstructing cosmological fields with differentiable simulations": https://modichirag.github.io/talks/MIAPbP_June2023/#/

• Chirag Modi

Solving Inverse Physics Problems with Score Matching

• Benjamin Holzschuh

Talk

Talk

• William Moses

"NIFTy.re – A Library for Gaussian Processes & VI for Inferences with Billions of Parameter"

• Gordian Edenhofer

“Numba-Enzyme: Trace-free Differentiable Python”

• Ludger Paehler

"Differentiating GATE/Geant4 with Derivgrind"

• Max Aehle

"Checkpoint Reverse Automatic Differentiation"

• Barak Pearlmutter

"Data-flow reversal and Garbage Collection"

• Laurent Hascoet

Talk

• Auralee Edelen

Talk

• Paige Bailey

Computing Derivatives of Programs with Continuous and Discrete Randomness

• Frank Schaefer

On the Memory-reduced Calculation of Adjoints

• Andrea Walther

Metric Gaussian Variational Inference

• Jakob Knollmüller

Talk

• Christoph Weniger

"A Minimal Programmable Model for Synthetic Living Materials"

• Qian-Ze Zhu

"Bayesian Spatio-spectral imaging of SN1006"

• Margret Westerkamp

"Bivariate Causal Discovery - A probabilistic approach"

• Matteo Guardiani

RooFit: a probabilistic programming language

• Jonas Rembser

Topical Workshop

Topical Workshop

Topical Workshop

Discussion session & summary

Talk

Discussion session & summary