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Olivier Grisel<p>Interesting developments in subquadratic alternatives to self-attention based transformers for large sequence modeling (32k and more).</p><p>Hyena Hierarchy: Towards Larger Convolutional Language Models</p><p><a href="https://arxiv.org/abs/2302.10866" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2302.10866</span><span class="invisible"></span></a></p><p>They propose to replace the quadratic self-attention layers by an operator built with implicitly parametrized long kernel 1D convolutions.</p><p><a href="https://sigmoid.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://sigmoid.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://sigmoid.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> </p><p>1/n</p>
Naomi Saphra<p>It's not the first time! A dream team of Eve Fleisig (human eval), Adam Lopez (remembers the Stat MT era), Kyunghyun Cho (helped end it), and me (pun in title) are here to teach you the history of scale crises and what lessons we can take from them. <a href="https://arxiv.org/abs/2311.05020" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2311.05020</span><span class="invisible"></span></a> 🧵 <a href="https://sigmoid.social/tags/paperthread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paperthread</span></a> <a href="https://sigmoid.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a></p>
Fabrice Tshimanga<p>1/n<br>Our pre-print is finally out!<br>Here's my first <a href="https://neuromatch.social/tags/paperthread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paperthread</span></a> 🧵<br>In this work, co-authors and I clustered ischaemic stroke patients profiles, and recovered common patterns of cognitive, sensorimotor damage.</p><p>...Historically many focal lesions to specific cortical areas were associated with specific distinction, but most strokes involve subcortical regions and bring multivariate patterns of deficits.<br>To characterize those patterns, many studies have turned to correlation analysis, factor analysis, PCA, focusing on the relations among variables==domains of impairments...</p><p><a href="https://www.medrxiv.org/content/10.1101/2023.11.08.23297808" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">medrxiv.org/content/10.1101/20</span><span class="invisible">23.11.08.23297808</span></a></p><p><a href="https://neuromatch.social/tags/stroke" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stroke</span></a> <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://neuromatch.social/tags/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clustering</span></a></p>
Iris van Rooij 💭<p>📝 Now reading: "From empirical problem-solving to theoretical problem-finding perspectives on the cognitive sciences -- by <span class="h-card" translate="no"><a href="https://mastodon.social/@fedeadolfi" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fedeadolfi</span></a></span> <a href="https://scholar.social/tags/LauraVandeBraak" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LauraVandeBraak</span></a>, and <span class="h-card" translate="no"><a href="https://mstdn.social/@mariekewoe" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mariekewoe</span></a></span> (2023, PsyArXiv) <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> 🧵 </p><p><a href="https://doi.org/10.31234/osf.io/jthxf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.31234/osf.io/jthxf</span><span class="invisible"></span></a></p>
Bibiana Prinoth<p>T'S PAPER DAY! </p><p>Seidel &amp; Prinoth et al. has just been accepted for publication in A&amp;A and you can find it on arXiv already today: <a href="https://arxiv.org/abs/2308.13622" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2308.13622</span><span class="invisible"></span></a> ✨</p><p>Let us tell you a bit more 👇🏼🧵</p><p><span class="h-card"><a href="https://astrodon.social/@JuliaVSeidel" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>JuliaVSeidel</span></a></span> </p><p><a href="https://astrodon.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> <a href="https://astrodon.social/tags/paper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paper</span></a> <a href="https://astrodon.social/tags/exoplanets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exoplanets</span></a> <a href="https://astrodon.social/tags/observations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>observations</span></a> <a href="https://astrodon.social/tags/publication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>publication</span></a></p>
Bibiana Prinoth<p>Hello, world!</p><p>Look, it's me 👀 My second first-author paper has just been accepted for publication in A&amp;A and you can find it on arXiv already today ✨</p><p>Let me tell you a bit about it 👇🏼🧵</p><p>(okay a lot, it's a big kid)</p><p><a href="https://arxiv.org/abs/2308.04523" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2308.04523</span><span class="invisible"></span></a></p><p><a href="https://astrodon.social/tags/thread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>thread</span></a> <a href="https://astrodon.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> <a href="https://astrodon.social/tags/astrodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>astrodon</span></a> <a href="https://astrodon.social/tags/astronomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>astronomy</span></a> <a href="https://astrodon.social/tags/observations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>observations</span></a></p>
Iris van Rooij 💭<p>Now reading: Epistemic Exploitation -- by Nora Berenstain (Ergo, 2016) <a href="https://quod.lib.umich.edu/e/ergo/12405314.0003.022/--epistemic-exploitation?rgn=main;view=fulltext" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quod.lib.umich.edu/e/ergo/1240</span><span class="invisible">5314.0003.022/--epistemic-exploitation?rgn=main;view=fulltext</span></a> <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> 🧵 1/n</p>
Iris van Rooij 💭<p>📖 Now reading: The New Eugenics of Transhumanism: A Feminist Assessment -- by Nikila Lakshmanan (Gender Forum . 2018, Issue 68, p41-56. 16p.) <a href="http://genderforum.org/wp-content/uploads/2018/05/5_Lakshmanan_Transhumanism.pdf…" rel="nofollow noopener" target="_blank"><span class="invisible">http://</span><span class="ellipsis">genderforum.org/wp-content/upl</span><span class="invisible">oads/2018/05/5_Lakshmanan_Transhumanism.pdf…</span></a> 🧵 <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a></p>
Iris van Rooij 💭<p>Formalizing verbal theories: A tutorial by dialogue (van Rooij &amp; Blokpoel, 2020)</p><p>📖 Published paper version: <a href="https://econtent.hogrefe.com/doi/epdf/10.1027/1864-9335/a000428" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">econtent.hogrefe.com/doi/epdf/</span><span class="invisible">10.1027/1864-9335/a000428</span></a></p><p>📝 Preprint (open access): <a href="https://psyarxiv.com/k79nv/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">psyarxiv.com/k79nv/</span><span class="invisible"></span></a> </p><p>Summary in <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> below 🧵 1/n</p>
Leon Lotter<p>Hot off the press! 🔥​<br><a href="https://doi.org/10.1016/j.neubiorev.2023.105042" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.neubiorev.20</span><span class="invisible">23.105042</span></a></p><p>We performed a meta-analysis of neuroimaging studies looking at interpersonal neural synchronization (INS) and contextualized the results using diverse public databases to develop new hypotheses on physiological processes potentially involved in INS.</p><p>What is he talking about, you ask? See below ⏬​</p><p>1/9</p><p><a href="https://neuromatch.social/tags/NewPaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NewPaper</span></a> <a href="https://neuromatch.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> <a href="https://neuromatch.social/tags/NeuroPaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroPaper</span></a> <a href="https://neuromatch.social/tags/NeuroPaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroPaperThread</span></a> <a href="https://neuromatch.social/tags/NewNeuroPaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NewNeuroPaper</span></a> <a href="https://neuromatch.social/tags/NeuroScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroScience</span></a> <a href="https://neuromatch.social/tags/Neuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuro</span></a> <a href="https://neuromatch.social/tags/Psych" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psych</span></a> <a href="https://neuromatch.social/tags/Psychiatry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychiatry</span></a> <a href="https://neuromatch.social/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://neuromatch.social/tags/Cognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cognition</span></a> <a href="https://neuromatch.social/tags/Brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brain</span></a> <a href="https://neuromatch.social/tags/Communication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Communication</span></a> <a href="https://neuromatch.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://neuromatch.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://neuromatch.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a> <a href="https://neuromatch.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a><br><span class="h-card"><a href="https://a.gup.pe/u/neuroscience" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neuroscience</span></a></span> <span class="h-card"><a href="https://a.gup.pe/u/neuro" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neuro</span></a></span> <span class="h-card"><a href="https://a.gup.pe/u/cognition" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cognition</span></a></span> <span class="h-card"><a href="https://a.gup.pe/u/fmri" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fmri</span></a></span> <span class="h-card"><a href="https://a.gup.pe/u/phdstudents" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>phdstudents</span></a></span> <span class="h-card"><a href="https://a.gup.pe/u/academicchatter" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>academicchatter</span></a></span></p>
Iris van Rooij 💭<p>3 main take aways:</p><p>(1) Scientific inference cannot be automated or proceduralized.</p><p>(2) Not heeding the warning in (1) will necessarily limit our ability for scientific discovery and understanding.</p><p>(3) The only way not to limit scientific discovery is to allow for unbounded pluralism. </p><p>/end of <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a></p>
Iris van Rooij 💭<p>How hard is cognitive science?</p><p>🎬📽🍿 Video: <a href="https://m.youtube.com/watch?v=2bdK_zu1Ikw" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">m.youtube.com/watch?v=2bdK_zu1</span><span class="invisible">Ikw</span></a> </p><p>📖 Paper version: <a href="https://psyarxiv.com/k79nv/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">psyarxiv.com/k79nv/</span><span class="invisible"></span></a> </p><p>Summary in <a href="https://scholar.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> below 🧵 1/n</p>
Jascha Achterberg<p>What happens when you give Recurrent Neural Networks brain-inspired constraints of 3D spatial structure &amp; neural communication during learning? </p><p>🧠🌐🤖</p><p>In our new project we show typical structural &amp; functional <a href="https://mastodon.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> motifs like modularity, small-worldness, functional clusters, mixed selectivity &amp; efficiency emerge in these spatially-embedded RNNs</p><p><a href="https://mastodon.social/tags/Preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Preprint</span></a><br><a href="https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.17.516914v1</span></a></p><p><a href="https://mastodon.social/tags/PaperThread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaperThread</span></a> / Summary <br><a href="https://www.jachterberg.com/seRNN" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">jachterberg.com/seRNN</span><span class="invisible"></span></a> </p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetwork</span></a> <a href="https://mastodon.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> <a href="https://mastodon.social/tags/RNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNN</span></a> <a href="https://mastodon.social/tags/newpaper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>newpaper</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/neuroscience" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neuroscience</span></a></span></p>