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Martina Vilas
@martinagvilas
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CS PhD Student working on AI interpretability
Frankfurt, Germany
Joined April 2017
New position paper accepted at #ICML2024! 💻🧠"An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience" We show how many of the problems/discussions in the AI Inner Interpretability field are similar to those in Cognitive Neuroscience (1/2)
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RT @CohereForAI: December 5th, join @mathildepapillo and our ML Theory group as they dive into "Beyond Euclid: An Illustrated Guide to Mode…
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RT @dariozanca: Happening now! Visit @TiezziMatteo and me at the @eccvconf #hcv workshop if you are interested in visual #attention models…
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RT @sukrutrao: Less than three days to go for the eXCV Workshop at #ECCV2024! Join us on Sunday from 14:00-18:00 in Brown 1 to hear about t…
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RT @aniervs: Super excited to start this mini cohort on geometric deep learning!!! The question about “why use convolutions instead of som…
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RT @TheEsraaSaleh: ✨Be sure to join us tomorrow! This is going to be really fun :) Our speakers will be pitching ideas from a wide range of…
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RT @sarahookr: Applications for @CohereForAI scholars program close tomorrow. Something special about the program is our commitment that a…
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RT @CohereForAI: August 24th @martinagvilas , will be giving an exciting presentation with our community-led NLP group on "Probing the repr…
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RT @CohereForAI: This Thursday, check out the presentation on "LLM Processes: Numerical Predictive Distributions Conditioned on Natural Lan…
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@drjingjing2026 Important question! In the paper, we discuss adapting more “metatheorical” strategies where these assumptions do not have an impact. For example, how we can use Marr’s levels to guide research probing the capacities of these AI systems.
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RT @CohereForAI: Our community-led ML Theory Group is looking forward to hosting @PetarV_93, Research Scientist at @GoogleDeepMind, next we…
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RT @SashaMTL: Every time I get *yet another* rejection of my work analyzing existing models/datasets (because it "lacks novelty"), I worry…
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RT @poeta_eleonora: 🚀 Exciting News! 📚 Unveiling our latest Paper: "Concept-based Explainable Artificial Intelligence: A Survey" Delve i…
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RT @mtoneva1: 🚨New round of recruiting! Join our growing team to bridge ML models with interpretable domain expertise. Learn more: https://…
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