Federico Pernici (@fedpernici) 's Twitter Profile
Federico Pernici

@fedpernici

Computer Vision, Machine Learning, Deep Learning, AI. Assistant Professor at University of Florence | DINFO | MICC. Opinions are my own.

ID: 188363758

linkhttps://goo.gl/M71JT6 calendar_today08-09-2010 15:16:53

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707 Followers

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Federico Pernici (@fedpernici) 's Twitter Profile Photo

Recent research on reserving maximally separated space for future classes aligns with our work (published even before the concept of neural collapse). We received numerous citations, and are encouraged by the ongoing exploration of these ideas. Paper: arxiv.org/abs/2010.08657

The Nobel Prize (@nobelprize) 's Twitter Profile Photo

BREAKING NEWS The 2023 #NobelPrize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19.

BREAKING NEWS
The 2023 #NobelPrize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19.
Federico Pernici (@fedpernici) 's Twitter Profile Photo

Update: Paper with novel theoretical insights📚on learning compatible representations accepted at CVPR 2024. More information to follow. #CVPR2024

Federico Pernici (@fedpernici) 's Twitter Profile Photo

The CVPR 2024 accepted papers list is now available at cvpr.thecvf.com/Conferences/20…. It includes our "Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements" #CVPR2024 #ComputerVision #AIResearch

Federico Pernici (@fedpernici) 's Twitter Profile Photo

🔍Exploring #CVPR2024 papers📚clustered by PCA-tSNE-KMeans on title embeddings. Interactive visualization here: tinyurl.com/52zx9ma9

Federico Pernici (@fedpernici) 's Twitter Profile Photo

Check out our highlight poster🌟: "Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements" at #CVPR2024. Full details 🔍 available on arXiv: arxiv.org/abs/2405.02581 #CVPR2025 📚

Check out our highlight poster🌟: "Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements" at #CVPR2024. Full details 🔍 available on arXiv: arxiv.org/abs/2405.02581 <a href="/CVPR/">#CVPR2025</a> 📚
Federico Pernici (@fedpernici) 's Twitter Profile Photo

Proceedings for #CVPR2024 are available📘. Useful for navigating the extensive content: openaccess.thecvf.com/CVPR2024 and the workshops at openaccess.thecvf.com/CVPR2024_works…

Federico Pernici (@fedpernici) 's Twitter Profile Photo

Join us June 18th for the #CLVISION workshop at #CVPR2024! Don’t miss our poster highlight: "Stationary Representations: Optimally Approximating Compatibility," at board #268 in Arch 4E. 📌 June 18th 10-11 AM PDT, 📌 June 18th 3:30-4:30 PM PDT.

Join us June 18th for the #CLVISION workshop at #CVPR2024! Don’t miss our poster highlight: "Stationary Representations: Optimally Approximating Compatibility," at board #268 in Arch 4E.
📌 June 18th 10-11 AM PDT,
📌 June 18th 3:30-4:30 PM PDT.
Federico Pernici (@fedpernici) 's Twitter Profile Photo

Apple🍏shows interest in strategies for evolving🔄compatible🤝language models that minimize inconsistencies with previous versions: arxiv.org/abs/2407.09435

Max Welling (@wellingmax) 's Twitter Profile Photo

I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching, managing a research group, supervising students and … research). Take two hrs everyday before you look at email and social media. search.app/nnTKNba5Dqv8Eu…

The Nobel Prize (@nobelprize) 's Twitter Profile Photo

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”