🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

And, of course, many thanks to my amazing collaborators Guillermo Bernárdez, Marco Montagna, Miquel Ferriol, Nina Miolane 🦋 @ninamiolane.bsky.social, Federica Baccini, Mathilde Papillon🦋 mathildepapillon .bsky .social, Mustafa Hajij, Theodore Papamarkou, Ghada Zamzmi, Henry Kvinge, Tegan Emerson, among many others! 🙌

Interested in topological deep learning #icml24 ? Join tomorrow's poster session to discuss the position paper: 🤖Topological Deep Learning is the New Frontier for Relational Learning 🍩 Led by Theodore Papamarkou with an amazing team of co-authors 🌟

W. Theodore Papamarkou Tolga Birdal Michael Bronstein Justin Curry Mustafa Hajij Roland Kwitt Pietro Lio' Bastian Grossenbacher-Rieck Simone Scardapane Petar Veličković Ghada Zamzmi & others I can't find on X, we discuss open problems in topological deep learning & avenues for research. Let's see a few!👇

3. Need for benchmark suite dedicated to topological deep learning 👉 See the recent #TopoBenchmarkX by Lev Telyatnikov Guillermo Bernárdez M. Montagna P. Vasylenko Ghada Zamzmi Mustafa Hajij M. Schaub Simone Scardapane Theodore Papamarkou & I PyT 📚Paper: arxiv.org/pdf/2406.06642 💻Code:

A necessary and insightful work! So many exciting open problems in this goldmine of a field🪓🪙 Congratulations to Theodore Papamarkou and team

🌟 New paper from the lab! In this work led by Theodore Papamarkou , we discuss open problems in topological deep learning, ranging from practical benefits to theoretical foundations. Must read if you want to start research in this exciting field! arxiv.org/pdf/2402.08871

Check out our position paper on Bayesian Deep Learning is Needed in the Age of Large-Scale AI 📍Hall C 4-9 #416 #ICML2024

tdlbook.org We've made an effort to make this work easily available online. Please feel free to open pull requests on GitHub if you would like to propose any improvements, ranging from typo fixes to topical improvements or additions.

Want to start in topological deep learning and not sure where to start? We decided to make our unifying TDL framework available as a book and make it accessible for free online Topological Deep Learning: Going Beyond Graph Data (tdlbook.org)

Thanks for everyone who contributed to this effort Theodore Papamarkou Ghada Zamzmi Paul Rosen Nina Miolane 🦋 @ninamiolane.bsky.social Narain Karthikeyan Shreyas Samaga Tolga Birdal Michael T. Schaub, Aldo Guzmán-Sáenz, Tamal K. Dey, Soham Mukherjee, Neal Livesay, and Robin Walters.

If your ambitious goal is to work at the intersection of eXplainable Deep Learning and Uncertainty Quantification, then you should definitely consider working with Richard and I! findaphd.com/phds/project/h…

The project involves industrial partners who will contribute industry insights and host regular progress presentations. It is also supported by a partnership with Zhejiang Normal University, represented by Theodore Papamarkou, who will be external PhD supervisor for the project.

It is with great pleasure to inform you that the inaugural issue of TOPML is published now! For more information please visit the links below dl.acm.org/toc/topml/2025… dl.acm.org/doi/10.1145/37… ACM Digital Library

🚀 Exciting news! We're proposing a new *Bayesian Deep Learning* section within ISBA. If you support this initiative, add your name to the petition and help make it happen! 🔗 Petition: tinyurl.com/527vaamz Sinead Williamson, Theodore Papamarkou, Vincent Fortuin @vincefort.bsky.social, Sara Wade 1/2

The NeurIPS Call for Workshops is now live. Proposals are due May 30 AoE, with acceptance notification on July 4 AoE. neurips.cc/Conferences/20… If you plan to submit a proposal for a workshop, please read our detailed guidance in our new blog post: blog.neurips.cc/2025/04/12/gui…

Sharing my preprint on the indexed colored Markov polycategory. It's a current development from months of work. More theory is planned, which might take another year, so releasing this initial progress. Hope this initial stage is useful. Feedback welcome. doi.org/10.5281/zenodo…