Programme

Monday 28 September 2026

Time

Session

19:00 -

Informal meetup

Tuesday 29 September 2026

Time

Session

09:00 - 09:20

Registration

09:20 - 09:30

Welcome

09:30 - 10:00

Parallel performance of vector AD, Troels Henriksen

10:00 - 10:30

diffblas and difflapack: derivatives of BLAS and LAPACK, Sri Hari Krishna Narayan

10:30 - 11:00

Well-Posed but Ill-Conditioned: Picking an AD Abstraction Level, Valentin Churavy

11:00 - 11:30

Refreshment break

11:30 - 12:00

asdex: Sparse AD in JAX, Adrian Hill

12:00 - 12:30

ARTIST, an open-source, PyTorch-based differentiable ray tracer for solar thermal power plants, Max Pargmann

12:30 - 13:00

Reverse AD of pythonOCC for gradient-based shape optimization, Mladen Banovic

13:00 - 14:00

Lunch break with posters

14:00 - 14:30

Advancements in Fast Derivatives for Beam Optics, Bernardo Abreu Figueiredo

14:30 - 15:00

Fast CHAD, Tom Smeding

15:00 - 15:30

Algorithmic Differential Inversion for Regularized Training of Neural Differential Equations, Gero Kauerauf

15:30 - 16:00

Refreshment break

16:00 - 16:30

Differentiable systems over framework boundaries: AD interoperability in practice, Jonathan Brodrick

16:30 - 17:00

Multithread handling in CoDiPack, Max Sagebaum

17:00 - 17:30

Extending C++ Reflection for Compile-Time Automatic Differentiation, Thomas Prideaux-Ghee, Polina Vyshnevska, Lucas Rey

17:30 - 19:00

Free time

19:00 - 22:00

Workshop dinner

Wednesday 30 September 2026

Time

Session

09:00 - 09:30

DJ4Earth: new opportunities in automatic differentiation for Earth system modeling, Patrick Heimbach

09:30 - 10:00

Towards a differentiable Earth system model in Julia: Progress and perspectives, Brian Groenke

10:00 - 10:30

SpeedyWeather.jl: Differentiable, GPU-accelerated and machine-learned climate modelling, Milan Klöwer

10:30 - 11:00

Refreshment break

11:00 - 11:30

Convex Relaxations of Fixed-point Iterations and their Subgradients, Neil Kichler

11:30 - 12:00

Star Coloring Graphs Induced by Stencils, Paul Hovland

12:00 - 12:30

Taylor Mode AD in Practice: Experiments with Mixed-Partial Computation, Tim Siebert

12:30 - 13:30

Lunch break with posters

13:30 - 14:00

Work in progress of forward differentiation of fixed point loops, Jean-Luc Bouchot

14:00 - 15:15

Breakout session

15:15 - 15:30

Close