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Yorguin-Jose Mantilla-Ramos

@yjmantilla.bsky.social
159 followers 2K following 0 posts

veneco trying to get into interpretability, both for natural and artificial intelligence. currently a masters student at Université de Montréal.

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Reposted by Yorguin-Jose Mantilla-Ramos
Carlile Vernon @markgray.bsky.social · 30/11/2024
#AcademicSky, researchers have to face this: research writing needs to persuade more than other researchers. pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov
The readability of scientific texts is decreasing over time
Clarity and accuracy of reporting are fundamental to the scientific process. Readability formulas can estimate how difficult a text is to read. Here, in a corpus consisting of 709,577 abstracts publis...
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Reposted by Yorguin-Jose Mantilla-Ramos
Tomer Ullman @tomerullman.bsky.social · 29/11/2024
Imagine a snail. Imagine 5 snails. Imagine a snail on a sail. Imagine something that isn’t a snail. now read a new pre-print: "Relations, Negations, & Numbers: Looking for Logic in Generative Text-to-Image Models" (by Conwell, Tawiah-Quashie, & me) arxiv.org/pdf/2411.17066
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Reposted by Yorguin-Jose Mantilla-Ramos
Jay 🦋 @jay.bsky.team · 25/11/2024
Want to use bluesky replies as your blog’s comment section? `npm install bluesky-comments` Built by @coryzue.com
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Reposted by Yorguin-Jose Mantilla-Ramos
Christoph Molnar @christophmolnar.bsky.social · 26/11/2024
What's the difference between explainability and interpretability? Does the machine learning community have an agreed-upon definition? No. There's a great overview, which is from this paper: arxiv.org/abs/2211.08943 My take: I prefer interpretability since the term explainability is too strong.
Overview of definitions for interpretability and explainability for different papers. The gist: the authors have different definitions.
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Reposted by Yorguin-Jose Mantilla-Ramos
Nima Dehghani @neurovium.bsky.social · 26/11/2024
How can biology teach us to design better AI?🤔 Our new paper, w Mike @drmichaellevin.bsky.social "Bio-inspired AI: Integrating Biological Complexity," explores how biological principles like adaptability, context-dependence, and hierarchical processing can inspire the next generation of AI. 🧵👇1/n
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