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add memristor pos. enc. paper
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2026-memristor-pe/README.md

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This folder contains information related to the publication:
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"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition"
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The PyTorch toolkit for the simulation can be found under:
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https://github.com/rwth-i6/SynaptogenML
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The experiments are designed with Sisyphus in the i6-style experiment format. The following links are entry points into the different datasets.
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LibriSpeech: https://github.com/rwth-i6/i6_experiments/blob/main/users/hilmes/experiments/librispeech/ctc_rnnt_standalone_2024/experiments/ctc_phon/memristor/baseline_0725.py
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and https://github.com/rwth-i6/i6_experiments/blob/main/users/hilmes/experiments/librispeech/ctc_rnnt_standalone_2024/experiments/ctc_phon/memristor/noposenc_1225.py
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Loquacious: https://github.com/rwth-i6/i6_experiments/blob/main/users/hilmes/experiments/loquacious/memristor_1025/experiments/ctc_bpe/baseline.py
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For questions on how to run experiments and setup Sisyphus or SynaptogenML, please open an issue here or write to [hilmes]@cs.rwth-aachen.de

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