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🎉Wow!🎉 Our paper 'Topological Singularity Detection At Multiple Scales' was accepted at #ICML2023. 👉We question the manifold hypothesis & develop a method to detect singularities, i.e. points that violate this 'manifoldness' assumption. #topology #MachineLearning 🧵1/n

Very excited and proud of Julius's first paper! 😁😎

Interested in #curvature on #graphs? 🚀 Check out our (Josh Southern, Jeremy Wayland, Michael Bronstein) #NeurIPS2023 paper ‘Curvature Filtrations for Graph Generative Model Evaluation’ 📜: arxiv.org/abs/2301.12906 💻: github.com/aidos-lab/CFGG… #topology #geometry 🧵1/n

I won't be at #NeurIPS2023 (👶) but can highly recommend visiting our (Josh Southern Jeremy Wayland Michael Bronstein) work! TL;DR: #Curvature + #Topology = Great for Generative Model Eval! ➡️Poster #539 @ Session 3 (Dec 13) 📜openreview.net/forum?id=Dt71x… Some #FOMO starting now!🫠

Sadly also can't attend #NeurIPS2023 this year to present this work but please see Jeremy Wayland at the poster session! Also please feel free to reach out to me if you have any questions/just want to chat about graphs in general so I have less fomo 😃

Have you ever wondered how topological data analysis can be applied to the analysis of neural networks? I'm excited to share our newest survey on TDA for deep learning, offering an in-depth look at this intriguing question. 🧵 arxiv.org/abs/2312.05840

My first first-author journal paper now featuring in The Guardian! Great collaboration with @Sarkar_Lab Rik Sarkar UKRI Centre for Doctoral Training in Biomedical AI School of Informatics, The University of Edinburgh Food Science and Nutrition at Leeds 🗞️Guardian Science : theguardian.com/science/2023/d… ➡️ Scientific Reports : nature.com/articles/s4159…

🎉 Wrapping up 2023 with... 1. ...a 'Deep Learning Grand Slam' - ICLR: Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (openreview.net/forum?id=sPCKN…) We (Corinna Coupette, S. Dalleiger, YT) define notions of hypergraph #curvature & show their applications. 🧵1/n

Exciting news! CHOC's (CHOC) Healthcare Data Science Conference is now open for registration and is a must-attend event for those interested in the intersection of data science and healthcare. For more information and to register, visit choc.org/events/interna….

We hope that this paves the path towards new, highly-efficient topology-driven methods. 📜openreview.net/forum?id=MO632… 💻github.com/aidos-lab/DECT As a PI, I'm very proud to see Ernst Röell's excellent work paying off! 😊 🧵5/5

I am thrilled to announce HistoGPT, a vision language foundation model that generates highly accurate pathology reports from gigapixel whole slide images. medRxiv: medrxiv.org/content/10.110… GitHub: github.com/marrlab/HistoG… Hugging Face: huggingface.co/marr-peng-lab/…

New blog post: ᴅᴏɪɴɢ ᴍʟ ʀᴇꜱᴇᴀʀᴄʜ: ɢᴀᴛᴇꜱ ᴏᴘᴇɴ, ᴄᴏᴍᴇ ᴏɴ ɪɴ! Intended as an invitation to #MachineLearning, in particular for researchers coming from #mathematics. (Prompted by recent discussions in a Schloss Dagstuhl seminar!) bastian.rieck.me/blog/2024/invi…

Friends, I am beyond happy! I'm starting a new position as Full Professor of #MachineLearning at the University of Fribourg Uni Fribourg 🇨🇭! With #SwissAI and many other initiatives, I am taking my research at the intersection of #geometry, #topology, and #MachineLearning to a new

Friends, as the saying approximately goes: "Fortune favours the bald" 👴 👉 My proposal "HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology" was successfully funded with a 1.5M € European Research Council (ERC) Starting Grant! 👈 🤯🤯🤯 This will allow me to pursue

(1/6) I am thrilled to share my latest research from my visit to Helmholtz Munich | @HelmholtzMunich in the #AIDOS lab led by Bastian Grossenbacher-Rieck! 🚀 We introduced Redundant Blocks Approximation (RBA)—a straightforward method to reduce model size & complexity while maintaining good performance📈🤖

📢 Exciting News! Our paper, “Bayesian Computation Meets Topology,” has just been published in TMLR! 🎉 👉openreview.net/forum?id=0h1Dt… 👈 Here’s a deep dive into how #topology and #bayes(ian) computation come together to enhance parameter inference: 📌 Why Topology? Topology

Amazing week - Understanding Virtual Nodes accepted to ICLR: openreview.net/forum?id=NmcOA… - Hit my first 180 🎯 - Passed my PhD without corrections Thank you to everyone involved!

Our AIDOS Lab website has been fully revamped, thanks to a massive team effort as part of a very fun retreat in #Bern: aidos.group Check out our research directions and some of the things we have been up to these days! #Academia #MachineLearning

😇Hijacking this great thread to talk about a potential way to _identify_ problems with existing benchmarking datasets (also to appear in ICML 2025): arxiv.org/abs/2502.02379 TL;DR: We look at how "graphical" graph benchmarking datasets are. Spoiler: less than you'd hope for!