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M. A. Müller

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#machine learning Preprint Nov 2026

Truncated backpropagation through time induces a two-sided gradient turnpike property

Truncated backpropagation through time reduces the computational burden of training recurrent models by restricting gradient computations to shorter temporal contexts. This induces two distinct boundary effects: missing past information perturbs the forward state evolution, while truncating the backward recursion omits...

J. Schiller, M. A. Müller · 0 citations