Martina Vilas
@martinagvilas
PhD Student working in AI interpretability
ID: 849256735361699840
https://martinagvilas.github.io/ 04-04-2017 13:45:58
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2/3 - Martina Vilas et al. reverse engineer ViTs and demonstrate how the inner representations can be projected onto the class embedding space to uncover how these networks build categorical representations for their predictions. #interpretability #explainability
🚀 Exciting News! 📚 Unveiling our latest Paper: "Concept-based Explainable Artificial Intelligence: A Survey" Delve into the world of #Concept-based #XAI with our comprehensive review of concept-based approaches! 🌐 Gabriele Ciravegna Eliana Pastor @ KDD2024 🇪🇸 arxiv.org/abs/2312.12936
Our community-led ML Theory Group is looking forward to hosting Petar Veličković, Research Scientist at Google DeepMind, next week on Thursday, April 25th for a presentation on "Categorical Deep Learning. An Algebraic Theory of Architectures." Learn more: cohere.com/events/c4ai-Pe…
This Thursday, check out the presentation on "LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language" with James Requeima! Learn more: cohere.com/events/cohere-… Thank you Anier Velasco Sotomayor & Martina Vilas for organizing this talk! 👏
August 24th Martina Vilas , will be giving an exciting presentation with our community-led NLP group on "Probing the representations and capacities of Vision-Language Models," be sure to check it out! 🤩 Learn more: cohere.com/events/cohere-…
Applications for Cohere For AI scholars program close tomorrow. Something special about the program is our commitment that a research scientist or engineer will read every application.