1679 lines
31 KiB
HTML
1679 lines
31 KiB
HTML
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<h3 class="author__name p-name" itemprop="name">
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<a class="u-url" rel="me" href="http://localhost:4000/" itemprop="url">Steffen Illium</a>
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<p><a href="https://www.mobile.ifi.lmu.de/team/steffen-illium/">PhD. in Comp. Science</a> <br /><a href="/research/">AI Consultant & Researcher</a></p>
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</div>
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<div class="archive">
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<h1 id="page-title" class="page__title">Research</h1>
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<p>Here you’ll find a curated overview of the papers where I have played a pivotal role, either as the first author or as a contributing author.</p>
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<p>My involvement has spanned, from conceptualizing the ideas and developing machine learning models, to providing support and insights to my colleagues.</p>
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<h2 id="list-of-papers">List of Papers</h2>
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<hr />
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<div class="entries-grid">
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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<div class="archive__item-teaser">
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<img src="/assets/figures/21_coins_teaser.png" alt="">
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</div>
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<div >
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
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<a href="/research/mas-emergence-safety/" rel="permalink">MAS Emergence Safety
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</a>
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</h2>
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
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</span>
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</p>
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<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
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Formalized MAS emergence misalignment; proposed safety mitigation strategies.
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</p>
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</div>
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</article>
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</div>
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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||
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<div class="archive__item-teaser">
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||
<img src="/assets/figures/20_aquarium.png" alt="">
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</div>
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<div >
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
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<a href="/research/aquarium-marl-environment/" rel="permalink">Aquarium MARL Environment
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</a>
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</h2>
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
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</span>
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</p>
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<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
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Aquarium: Open-source MARL environment for predator-prey studies.
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</p>
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||
</div>
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</article>
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</div>
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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||
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||
<div class="archive__item-teaser">
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||
<img src="/assets/figures/19_binary_primates_teaser.jpg" alt="">
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</div>
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<div >
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
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<a href="/research/primate-subsegment-sorting/" rel="permalink">Primate Subsegment Sorting
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</a>
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</h2>
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
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</span>
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||
</p>
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<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
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Binary subsegment presorting improves noisy primate sound classification.
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</p>
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||
</div>
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||
</article>
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||
</div>
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||
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<div class="grid__item">
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||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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||
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||
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||
<div class="archive__item-teaser">
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||
<img src="/assets/figures/18_surprised_soup_teaser.jpg" alt="">
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||
</div>
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||
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||
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<div >
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||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
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||
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||
<a href="/research/emergent-social-dynamics/" rel="permalink">Emergent Social Dynamics
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||
</a>
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||
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</h2>
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
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</span>
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||
</p>
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||
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<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
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||
Artificial chemistry networks develop predictive models via surprise minimization.
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||
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||
</p>
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||
</div>
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||
</article>
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||
</div>
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||
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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||
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||
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||
<div class="archive__item-teaser">
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||
<img src="/assets/figures/23_trajectory_model.png" alt="">
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||
</div>
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||
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||
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||
<div >
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||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/autoencoder-trajectory-compression/" rel="permalink">Autoencoder Trajectory Compression
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||
</a>
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||
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||
</h2>
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||
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<p class="page__meta">
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<span class="page__meta-readtime">
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||
<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
|
||
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</span>
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||
</p>
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||
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||
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||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
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||
LSTM autoencoder better DP for trajectory compression (Fréchet/DTW).
|
||
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||
</p>
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||
</div>
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||
</article>
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||
</div>
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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<div class="archive__item-teaser">
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||
<img src="/assets/figures/17_vp_teaser.jpg" alt="">
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</div>
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<div >
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||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/voronoi-data-augmentation/" rel="permalink">Voronoi Data Augmentation
|
||
</a>
|
||
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||
</h2>
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||
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
|
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</span>
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</p>
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||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
VoronoiPatches improves CNN robustness via non-linear recombination augmentation.
|
||
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||
</p>
|
||
</div>
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</article>
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</div>
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<div class="grid__item">
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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<div class="archive__item-teaser">
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<img src="/assets/figures/16_on_teaser.jpg" alt="">
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</div>
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<div >
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/organism-network-emergence/" rel="permalink">Organism Network Emergence
|
||
</a>
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||
|
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</h2>
|
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<p class="page__meta">
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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1 minute read
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</span>
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</p>
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||
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||
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||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Self-replicating networks collaborate forming higher-level Organism Networks with emergent functionalities.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
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</div>
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<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
|
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|
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|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/15_sr_journal_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/extended-self-replication/" rel="permalink">Extended Self-Replication
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
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|
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|
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|
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<span class="page__meta-readtime">
|
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<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
|
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|
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</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Journal extension: self-replication, noise robustness, emergence, dynamical system analysis.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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|
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|
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<div class="archive__item-teaser">
|
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<img src="/assets/figures/14_ad_rl_teaser.jpg" alt="">
|
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</div>
|
||
|
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|
||
|
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|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/rl-anomaly-detection/" rel="permalink">RL Anomaly Detection
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
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|
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|
||
|
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|
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|
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<span class="page__meta-readtime">
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<i class="far fa-clock" aria-hidden="true"></i>
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|
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1 minute read
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|
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</span>
|
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|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Perspective on anomaly detection challenges and future in reinforcement learning.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
|
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|
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|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/22_rnn_limits.png" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/rnn-memory-limits/" rel="permalink">RNN Memory Limits
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
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<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
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||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Investigated memory limits of RNNs in recalling uncorrelated sequences.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
|
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|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/13_sr_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/tasked-self-replication/" rel="permalink">Tasked Self-Replication
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
|
||
|
||
</span>
|
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|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Self-replicating networks perform tasks, exploring stabilization in artificial chemistry.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
|
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|
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|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/12_vision_transformer_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/audio-vision-transformer/" rel="permalink">Audio Vision Transformer
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
|
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|
||
</span>
|
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|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Vision Transformer on spectrograms for audio classification, with data augmentation.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
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|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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>
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||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/11_recurrent_primate_workflow.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/primate-vocalization-classification/" rel="permalink">Primate Vocalization Classification
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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<span class="page__meta-readtime">
|
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<i class="far fa-clock" aria-hidden="true"></i>
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|
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1 minute read
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</span>
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|
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|
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|
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|
||
Deep BiLSTM classifies primate vocalizations for acoustic wildlife monitoring.
|
||
|
||
</p>
|
||
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|
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|
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</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
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<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/10_water_networks_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/acoustic-leak-detection/" rel="permalink">Acoustic Leak Detection
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
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||
|
||
</span>
|
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|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Anomaly detection models for acoustic leak detection in water networks.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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|
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>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/9_image_transfer_sound_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/sound-anomaly-transfer/" rel="permalink">Sound Anomaly Transfer
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
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|
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1 minute read
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||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Image nets detect acoustic anomalies in machinery via spectrograms.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
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|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/8_anomalous_sound_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/anomalous-sound-features/" rel="permalink">Anomalous Sound Features
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
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|
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1 minute read
|
||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Pretrained networks extract features for anomalous industrial sound detection.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
|
||
|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/7_mask_models.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/surgical-mask-detection/" rel="permalink">Surgical-Mask Detection
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
|
||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
CNN mask detection in speech using augmented spectrograms.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
|
||
|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/5_meantime_coverage.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/av-meantime-coverage/" rel="permalink">AV Meantime Coverage
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
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1 minute read
|
||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Analyzing service coverage of parked AVs during downtime (‘meantime’).
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
|
||
|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/6_ood_pipeline.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/peoc-ood-detection/" rel="permalink">PEOC OOD Detection
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
||
|
||
1 minute read
|
||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
PEOC uses policy entropy for OOD detection in deep RL.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
|
||
|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/4_point_cloud_segmentation_teaser.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/3d-primitive-segmentation/" rel="permalink">3D Primitive Segmentation
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="page__meta-readtime">
|
||
<i class="far fa-clock" aria-hidden="true"></i>
|
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|
||
1 minute read
|
||
|
||
</span>
|
||
|
||
</p>
|
||
|
||
|
||
<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
|
||
Hybrid method segments/fits primitives in large 3D point clouds.
|
||
|
||
</p>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="grid__item">
|
||
<article class="archive__item" itemscope itemtype="https://schema.org/CreativeWork"
|
||
|
||
>
|
||
|
||
|
||
|
||
<div class="archive__item-teaser">
|
||
<img src="/assets/figures/2_steve_algo.jpg" alt="">
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div >
|
||
<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
|
||
|
||
<a href="/research/soccer-team-vectors/" rel="permalink">Soccer Team Vectors
|
||
</a>
|
||
|
||
</h2>
|
||
|
||
|
||
<p class="page__meta">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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