Poster "automatic differentiation" Papers

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Collapsing Taylor Mode Automatic Differentiation

Felix Dangel, Tim Siebert, Marius Zeinhofer et al.

NeurIPS 2025posterarXiv:2505.13644

Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations

Adrian Hill, Neal McKee, Johannes Maeß et al.

NeurIPS 2025poster

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

Philipp Holl, Nils Thuerey

ICML 2024poster

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers

Anselm Paulus, Georg Martius, Vit Musil

ICML 2024poster

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

Sergei Shumilin, Alexander Ryabov, Nikolay Yavich et al.

ICML 2024poster