One-step differentiation of iterative algorithms
–Neural Information Processing Systems
For iterative algorithms, implicit differentiation alleviates this issue but requires custom implementation of Jacobian evaluation. In this paper, we study one-step differentiation, also known as Jacobian-free backpropagation, a method as easy as automatic differentiation and as efficient as implicit differentiation for fast algorithms (e.g., superlinear
Neural Information Processing Systems
Feb-17-2026, 23:00:39 GMT
- Country:
- Europe
- Finland > Uusimaa
- Helsinki (0.04)
- France
- Occitanie > Haute-Garonne
- Toulouse (0.05)
- Provence-Alpes-Côte d'Azur > Alpes-Maritimes
- Nice (0.04)
- Occitanie > Haute-Garonne
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Finland > Uusimaa
- Europe
- Genre:
- Research Report > New Finding (0.68)
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