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Steffen Illium 2025-03-31 20:28:14 +02:00
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_posts/research/2022-02-25-rnn-memory-limits.md
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layout: single
title: "RNN Memory Limits"
categories: research deep-learning recurrent-neural-networks sequence-modeling theoretical-ml
excerpt: "Investigated the practical limits of RNNs (vanilla, LSTM, GRU) in recalling past inputs from uncorrelated sequences via standard backpropagation."
excerpt: "Investigated memory limits of RNNs in recalling uncorrelated sequences."
header:
teaser: /assets/figures/22_rnn_limits.png
scholar_link: "https://scholar.google.de/citations?user=NODAd94AAAAJ&hl=en"

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_posts/research/2023-02-25-autoencoder-trajectory-compression.md
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layout: single
title: "Autoencoder Trajectory Compression"
categories: research deep-learning recurrent-neural-networks trajectory-analysis data-compression geoinformatics
excerpt: "Introduced an LSTM autoencoder approach for GPS trajectory compression, demonstrating superior reconstruction accuracy compared to Douglas-Peucker based on Fréchet distance and DTW."
excerpt: "LSTM autoencoder better DP for trajectory compression (Fréchet/DTW)."
header:
teaser: /assets/figures/23_trajectory_model.png
scholar_link: "https://scholar.google.de/citations?user=NODAd94AAAAJ&hl=en"