Cheng Zhang
- PSDR-Enzyme: Physics-Based Differentiable Rendering Using Enzyme
Gordian Edenhofer
- NIFTy: The Why and How of Building AD from Scratch
Jacob Mai Peng
- Hackable Autodiff: Extending Enzyme to MLIR for Reverse Mode Gradients
Jan Hueckelheim
- Autodiff semantics and the level of abstraction
- Numba-Enzyme: A Differentiable JIT-ed Python
Jed Brown
- Automatic Differentiation in Solid Mechanics: Interpretation and Composition
- Opening
Jesse Michel
- AD with Integrals
Joe Greener
- Differentiable molecular simulation with Molly.jl
Julian Andrej
- Differentiating Large-Scale Finite Element Applications with MFEM
Laurent Hascoet
- A survey of Tapenade in contrast with Enzyme
Leila Ghaffari
- Automatic Differentiation in Solid Mechanics: Interpretation and Composition
- Opening
Lorenz Schmidt
- Oxide-Enzyme - Integrating Enzyme into the Rust compiler
Ludger Paehler
- Numba-Enzyme: A Differentiable JIT-ed Python
- A Cross-Language Probabilistic Programming Protocol for Physics and Beyond
- Enzyme Tutorial
- Opening
Lukas Heinrich
- Numba-Enzyme: A Differentiable JIT-ed Python
Manuel S. Drehwald
- Oxide-Enzyme - Integrating Enzyme into the Rust compiler
Martin Eppert
- Hackable Autodiff: Extending Enzyme to MLIR for Reverse Mode Gradients
Michel Schanen
- Adjoint Checkpointing using Custom Differentiation Rules
Nikolaus A. Adams
- Numba-Enzyme: A Differentiable JIT-ed Python
Oleksandr Zinenko
- Opening
Patrick Heimbach
- DJ4Earth: Oceans, ice sheets, adjoints, and AD
- Opening
Paul Tiede
- Accelerating Black Hole Imaging with Enzyme
Sarah Williamson
- DJ4Earth: Oceans, ice sheets, adjoints, and AD
Shuang Zhao
- PSDR-Enzyme: Physics-Based Differentiable Rendering Using Enzyme
Tim Gymnich
- Compilation Augmentation Enables High-Performance Batch Differentiation
- Opening
Tim Gymnich
- A Cross-Language Probabilistic Programming Protocol for Physics and Beyond
William Moses
- Enzyme Tutorial
- Opening
Zihan Yu
- PSDR-Enzyme: Physics-Based Differentiable Rendering Using Enzyme