Alexandra Proca

91 posts

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Alexandra Proca

Alexandra Proca

@a_proca

PhD student @imperialcollege. theoretical neuroscience, deep learning. 🦋https://t.co/LWcL9aTHlI

London, England Katılım Nisan 2020
321 Takip Edilen239 Takipçiler
Alexandra Proca
Alexandra Proca@a_proca·
In summary, we expand the study of superposition to recurrent architectures, enabling us to study how temporal information acts as a capacity constraint and affects feature geometry. Our work highlights how superposition affects dynamics and is shaped by time.
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Alexandra Proca
Alexandra Proca@a_proca·
We induce spatial superposition by using 5D input (A-E) and temporal superposition by increasing k. As memory demand (k) increases, the RNN drops features in favor of representing others for a longer duration. This representational tradeoff leads to a strategy that is all-or-none
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Jamie Simon
Jamie Simon@learning_mech·
1/ Deep learning is going to have a scientific theory. We can see the pieces starting to come together, and it's looking a lot like physics! We're releasing a paper pulling together these emerging threads and giving them a name: learning mechanics. 🔨 arxiv.org/pdf/2604.21691 🔧
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UniReps
UniReps@unireps·
📢Join us for the next UniReps x @ELLISforEurope speaker series happening on 29th April at 4:00 PM CET with @neurosacramento and Paul Friedrich!👾
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