Martin Carrasco
@martin.topology.rocks
ELLIS PhD @ AIDOS - Interested in Geometrical Deep Learning | Topological Deep Learning | Graphs
Hear me out: we should add AI conference submission/review cycles into those rights, forbid activities from happening during specific weeks to preserve the work/life balance.
European Commission@ec.europa.eu · 5d agoWorking hours may vary among countries. But in the EU, every worker is protected by certain minimum rights. These include health and safety at work, equal opportunities, protection against discrimination and fair working conditions. Check them here: link.europa.eu/mpmcgC
🔮 Working on ML on curved manifolds? Don't miss out on Jacobi Fields! 🔮 I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
Jacobi Fields in Machine Learning — Olga Zaghen
An intuitive introduction to Jacobi fields and their applications in machine learning on Riemannian manifolds.
olgatticus.github.io
I’m pleased to share that I've been selected as a Fellow of the 2026 Thinking About Thinking Program! I’m grateful to join a global, research-led ecosystem engaging thoughtfully with how AI is developed, governed, and understood. @geometric-intel.bsky.social @ai-ucsb.bsky.social
Interested in the analysis of GNN expressive power, limitations of the WL test or more in general in the definition of complete metrics on graphs? 👀 Check out this super cool work led by @martin.topology.rocks !🔥
Martin Carrasco@martin.topology.rocks · 5mo agoTo kick off the PhD journey with @pseudomanifold.topology.rocks: What are the limitations of the WL metric, and what is an 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦 𝘮𝘦𝘵𝘳𝘪𝘤? We answer these questions with our 𝗚𝗿𝗮𝗽𝗵 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 𝗗𝗶𝘀𝘁𝗼𝗿𝘁𝗶𝗼𝗻 arxiv.org/abs/2511.03068 @olgatticus.bsky.social, Kavir and @erikjbekkers.bsky.social
To kick off the PhD journey with @pseudomanifold.topology.rocks: What are the limitations of the WL metric, and what is an 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦 𝘮𝘦𝘵𝘳𝘪𝘤? We answer these questions with our 𝗚𝗿𝗮𝗽𝗵 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 𝗗𝗶𝘀𝘁𝗼𝗿𝘁𝗶𝗼𝗻 arxiv.org/abs/2511.03068 @olgatticus.bsky.social, Kavir and @erikjbekkers.bsky.social
Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them
A large driver of the complexity of graph learning is the interplay between structure and features. When analyzing the expressivity of graph neural networks, however, existing approaches ignore featur...
arxiv.org
Two new videos on #topology 🍩 and #DeepLearning 🤖 just dropped: - Part 1: youtu.be/p1GKAV0DAPI - Part 2: youtu.be/_b19lhGRJmg Both are part of my invited talk at the "OneMath World School 2026." Thanks for having me!
Topological Machine Learning Part 1: Features and Kernels
YouTube video by Bastian Grossenbacher-Rieck
youtu.be
🚀 LOGML26— Mentor applications! 📍 Imperial College London | 13–17 July 2026 Mentor a project team. Attend talks, socials, networking events. 💸 Travel support available. Deadline: 18 March 2026(AoE) Apply: logml.ai/apply.html #LOGML #MachineLearning #SummerSchool
Two month flew by since the start of the PhD journey with @pseudomanifold.topology.rocks and now the time is right to share how our collaborations officially started, with a question: How can we measure difference in (attributed) graphs beyond binary isomorphism testing ? 🌀
It may only be a band-aid, but we have just announced our new "Salon des Refusés" sessions for papers rejected due to space constraints: bsky.app/profile/euri...
NeurIPS Europe@neuripseurope.bsky.social · 11mo agoCongratulations to everyone who got their @neuripsconf.bsky.social papers accepted 🎉🎉🎉 At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
Oh come on, a #NeurIPS rejection based on sensible, well-argumented reviews which show an understanding of the paper and its limitations? HOW AM I SUPPOSED TO COMPLAIN NOW?
"Like all good stories, the tale of EurIPS begins in the kitchen…"
NeurIPS Europe@neuripseurope.bsky.social · 11mo agoWas #EurIPS fueled by gnocchi? People have asked for the EurIPS story, so our GC Søren Hauberg has written down the origins of EurIPS and how it all started in a kitchen: eurips.cc/news/15-09-2...
📣📣📣 We are proud to announce our #EurIPS Affinity Events which will take place during the main conference days. Our Affinity Workshop Chairs have accepted three great proposals from well-renowned organizations @wimlworkshop.bsky.social Learning Theory Alliance @queerinai.com See you in Copenhagen!
📢 Interested in doing a PhD in generative models 🤖, AI4Science 🧬, Sampling 🧑🔬, and beyond? I am hiring PhD students at Imperial College London for the next application cycle. 🔗See the call below: joeybose.github.io/phd-positions/ ✨ And a light expression of interest: forms.gle/FpgTiuatz9ft...
Joey Bose
Personal website powered by Jekyll
joeybose.github.io
Søren Hauberg (DTU) gives a quick tour of the site of EurIPS 2025: Bella Center, which features its own Metro stop, 13 min. from the airport, 9 min. to the center of town 🚊
NeurIPS Europe@neuripseurope.bsky.social · 11mo agoEarlier last week, Team #EurIPS visited the conference venue to discuss room layouts and more. The venue is super cool, has it's own metro station, and can host up to 30,000 people (20x what we expect!) Read more on our newly setup news feed and see a video of the tour: eurips.cc/news/05-09-2...
The workshops focused on (in chronological order): - Variational Inference (youtube.com/playlist?lis...) - Optimal Transport (youtube.com/playlist?lis...) - Parallel Computing (youtube.com/playlist?lis...), and - Computational Physics (youtube.com/playlist?lis...).
#EurIPS sure is community-driven! Across our Calls for Workshops and Affinity Workshops we received a whopping 50+ proposals! Our Workshop and Affinity Workshop Chairs are now busy reviewing and discussing all proposals, and we plan to have the decisions ready mid-September 🤞
We just wrapped up the 5th Summer Geometry Initiative (SGI), bringing 30 Fellows to our cohort of 150+ alumni, who go on to PhD/MS programs, industry jobs, and more. Despite overwhelming success, SGI26 is uncertain thanks to the changing funding landscape. Please help by helping identify sponsors!
Friday afternoon! Finally time to look back at a busy week, and ask oneself — "wait, what did I do, again?"
Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.
First promo photo appearance 🥹
ELLIS@ellis.eu · 11mo ago🎓 ✏️ The ELLIS Doctoral Symposium, hosted by the ELLIS Unit Warsaw 🇵🇱 kicked off yesterday! Held at the Uni Warsaw and co-organised by ELIAS, the theme is Robust AI. The EDS is an annual conference for ELLIS PhD students—a highlight in the ELLIS PhD & Postdoc Program. #EDS2025 📷: Damian Fużyński
Interested in #topological deep learning (TDL) but not sure where to start? 🍩🤖 Check out #TopoBench, a comprehensive, modular library that benchmarks a wide variety of TDL models across diverse datasets. Thrilled to see it accepted at DMLR! Code+Papers: geometric-intelligence.github.io/TopoBench/
TopoBench
TopoBench: A comprehensive benchmarking framework for Topological Deep Learning models and datasets.
geometric-intelligence.github.io
Lev Telyatnikov@levtelyatnikov.bsky.social · 12mo agoDelighted to announce TopoBench has been accepted to DMLR! It’s a modular library for Topological Deep Learning, built to provide reproducible, cross-domain benchmarks and accelerate research. GitHub: github.com/geometric-in... #AI #DeepLearning
We can’t wait to see what the community builds with TopoBench! Star our repo, read the paper, and bring reproducibility to your TDL research. Contributions and feedback are welcome! #OpenSource #Python #AcademicTwitter
This was a massive team effort! Developed & led by @levtelyatnikov.bsky.social , @gbg141.bsky.social , Theodore Papamarkou. With major contributions from @Marco Montagna, Mustafa Hajij, Ghada Zamzmi, Michael T. Schaub, @ninamiolane.bsky.social , & @sscardapane.bsky.social , and many others!
Delighted to announce TopoBench has been accepted to DMLR! It’s a modular library for Topological Deep Learning, built to provide reproducible, cross-domain benchmarks and accelerate research. GitHub: github.com/geometric-in... #AI #DeepLearning
GitHub - geometric-intelligence/TopoBench: TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning - geometric-intelligence/TopoBench
github.com
It is very refreshing seeing the start of a summer school be about Ethics in AI calling out the hype on GenAI as the frontier of human reasoning. Listening to this I am reminded of Feyerabend… “The only absolute truth is that there are no absolute truths” #EDS2025
📢 Save the date! Join us for the next @ellis.eu x UniReps Speaker Series! 📅 27th August – 16:00 CEST 📍https://ethz.zoom.us/j/66426188160 🎙️ Speakers: Keynote by @lelandmcinnes.bsky.social & Flash Talk by Yu (Demi) Qin 🔔 Stay updated by joining our Google group: groups.google.com/u/2/g/ellis-...
In the 20th century, non-Euclidean geometry transformed how we model the world with pen and paper. Now, it is disrupting how we model the world with machines. Learn more in our illustrated guide to non-Euclidean ML and AI👇
Mathilde Papillon@mathildepapillon.bsky.social · last yr.Our illustrated guide to non-Euclidian ML is finally published! Check it out for ⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field ⭐️ broken down tables for easy reading ⭐️ accessible text, additional refs, and more iopscience.iop.org/article/10.1...
