Jeremy Wayland @jeremy_wayland
3rd year PhD Candidate at @HelmholtzMunich and @TU_Muenchen working in the AIDOS Lab. jeremy-wayland.me Munich Joined August 2022-
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😇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!
😇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!
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
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!
Hi!👋Emily Simons here, @FulbrightPrgrm Student Researcher with @HelmholtzMunich's AIDOS Lab. Happy to be sharing my first contribution to AIDOS in this 🧵. Say hiya to SCOTT, the perfect holiday (software) package🎁for the #curvature and #graph enthusiast in your life. 🧵1/n
📢 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…
(1/6) I am thrilled to share my latest research from my visit to @HelmholtzMunich in the #AIDOS lab led by @Pseudomanifold! 🚀 We introduced Redundant Blocks Approximation (RBA)—a straightforward method to reduce model size & complexity while maintaining good performance📈🤖
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 € @ERC_Research Starting Grant! 👈 🤯🤯🤯 This will allow me to pursue…
Friends, I am beyond happy! I'm starting a new position as Full Professor of #MachineLearning at the University of Fribourg @unifr 🇨🇭! With #SwissAI and many other initiatives, I am taking my research at the intersection of #geometry, #topology, and #MachineLearning to a new…
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 @dagstuhl seminar!) bastian.rieck.me/blog/2024/invi…
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/…
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 @ErnstRoell's excellent work paying off! 😊 🧵5/5
Exciting news! CHOC's (@chocchildrens) 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….
🎉 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 (@CorinnaCoupette, S. Dalleiger, YT) define notions of hypergraph #curvature & show their applications. 🧵1/n
My first first-author journal paper now featuring in The Guardian! Great collaboration with @Sarkar_Lab @RikSarkarNet @BioMedAI_CDT @InfAtEd @FoodSciLeeds 🗞️@guardianscience : theguardian.com/science/2023/d… ➡️ @SciReports : nature.com/articles/s4159…
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
Sadly also can't attend #NeurIPS2023 this year to present this work but please see @JeremyWayland 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 😃
Sadly also can't attend #NeurIPS2023 this year to present this work but please see @JeremyWayland 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 😃
I won't be at #NeurIPS2023 (👶) but can highly recommend visiting our (@JoshSouthern13 @JeremyWayland @mmbronstein) 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!🫠
Interested in #curvature on #graphs? 🚀 Check out our (@JoshSouthern13, @jeremy_wayland, @mmbronstein) #NeurIPS2023 paper ‘Curvature Filtrations for Graph Generative Model Evaluation’ 📜: arxiv.org/abs/2301.12906 💻: github.com/aidos-lab/CFGG… #topology #geometry 🧵1/n
Very excited and proud of Julius's first paper! 😁😎
Very excited and proud of Julius's first paper! 😁😎
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