Best lab in the most wonderful city: the perfect opportunity! Come join us 🦾🌟

Erik Bekkers@erikjbekkers.bsky.social · 4mo ago

We're looking for a new colleague at @amlab.bsky.social: Assistant Professor in AI for Science 🔬🤖 World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️ Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...

Checkout this cute blogpost on Jacobi fields! They were used to link Variational and Riemannian flow matching in Olga’s paper ☀️

Olga Zaghen@olgatticus.bsky.social · 5mo ago

🔮 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-...!

🔮 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-...!

🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨 Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲 Deadline: 20 April www.academictransfer.com/en/jobs/3593...

2 PhD Positions on Learning Causally Grounded Concepts for Safe AI

Are you interested in improving the interpretability, robustness and safety of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2...

academictransfer.com

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 ago

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

Super happy to share our work was accepted as an Oral at the Delta Workshop @ ICLR 2025! 🎉 Can’t wait to talk about it in Singapore 😎 Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥

Olga Zaghen@olgatticus.bsky.social · last yr.

Variational Flow Matching goes Riemannian! 🔮 In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results. Dream team: Floor, Alison & Erik (their @ below) 💥 📜 arxiv.org/abs/2502.12981 🧵1/5

🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems joint work with @wellingmax.bsky.social and @jwvdm.bsky.social preprint: arxiv.org/abs/2502.17019 code: github.com/maxxxzdn/erwin

Super excited about this project!! Amazing work by @olgatticus.bsky.social and others ❤️

Olga Zaghen@olgatticus.bsky.social · last yr.

Variational Flow Matching goes Riemannian! 🔮 In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results. Dream team: Floor, Alison & Erik (their @ below) 💥 📜 arxiv.org/abs/2502.12981 🧵1/5

Variational Flow Matching goes Riemannian! 🔮 In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results. Dream team: Floor, Alison & Erik (their @ below) 💥 📜 arxiv.org/abs/2502.12981 🧵1/5

Welcome to our Bluesky account! 🦋 We're excited to announce ComBayNS workshop: Combining Bayesian & Neural Approaches for Structured Data 🌐 Submit your paper and join us in Rome for #IJCNN2025! 🇮🇹 📅 Papers Due: March 20th, 2025 📜 Webpage: combayns2025.github.io

🌟 Call for Papers – ComBayNS Workshop at IJCNN 2025 🌟 Workshop page: combayns2025.github.io We are thrilled to announce the #workshop “ComBayNS: Combining Bayesian and Neural approaches for Structured data” at the upcoming International Joint Conference on Neural Networks (#IJCNN). A thread 🧵

This is how it should be: one file, ctrl+c ctrl+v runnable from a notebook. I really do not want to mess with omegaconf, hydra or, the worst, a custom configuration system just to figure out how your model runs.

❤️❤️❤️

AMLab@amlab.bsky.social · 2y ago

The Christmas spirit has arrived at AMLab! 🎄✨ Yesterday we kicked off the holidays with a festive group dinner and a fun Secret Santa exchange. 🎅 Wishing everyone a restful and joyful winter break and a happy new year! ❄️💫

If you are attending #NeurIPS2024🇨🇦, make sure to check out AMLab's 11 accepted papers ...and to have a chat with our members there! 👩‍🔬🍻☕ Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list! 🧵1 / 12

Come and check out our poster on the UniReps workshop at @neuripsconf.bsky.social ! Thanks again to the amazing Giovanni Marchetti, Martina Scolamiero, and Danica Kragic ❤️ See more at: arxiv.org/abs/2409.10967

🐑 Come and check out Variational Flow Matching for Graph Generation next week at @neuripsconf.bsky.social ! 🐑 Wed 11 Dec 11 a.m. PST — 2 p.m. PST West Ballroom A-D #7103 arxiv.org/abs/2406.04843

Go chat with ✨the Davids✨, super smart and cool guys!

David R. Wessels@dafidofff.bsky.social · 2y ago

Now still RV'ing w/ @davidmknigge.bsky.social around Vancouver Island, but looking forward to Neurips2024! We will present our work on solving PDEs with space-time continuous representations using Equivariant Neural Fields (ENF) 🏄‍♀️🌊 Would love to meet and chat if interested!!

Arxiv sharing reminder pdf ❌ abs ✅

Looking at ICLR submissions with the lowest score - What a work of art! 🧵

Meet our Lab's members: staff, postdocs and PhD students! :) With this starter pack you can easily connect with us and keep up to date with all the member's research and news 🦋 go.bsky.app/8EGigUy

🚨 Happening today! 🚨 ⏰ 4 PM CET / 10 AM EST 👩‍💻 Zoom link is in the link below 🏢 You can attend in person in L3.36, Science Park, University of Amsterdam Join us for this exciting talk! :)

AMLab@amlab.bsky.social · 2y ago

Soon, @erikjbekkers.bsky.social and @davidmknigge.bsky.social will give a talk elaborating even further on geometry-grounded representation learning in a NeurReps seminar. Make sure to mark the date! :) ⏰ November 21st, 4 PM CET 🔗 www.neurreps.org/speaker-seri...

Let us know if you would like to be added to the list. Looking forward to seeing the GDL community here 🦋 Also, follow @gram-org.bsky.social for GRaM workshop related updates.

Olga Zaghen@olgatticus.bsky.social · 2y ago

A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible! Let me know if you would like to be listed. :) Thanks @sharvaree.bsky.social for the idea! go.bsky.app/7h8sek

A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible! Let me know if you would like to be listed. :) Thanks @sharvaree.bsky.social for the idea! go.bsky.app/7h8sek

Yesterday, @erikjbekkers.bsky.social presented his vision on equivariance to IvI (at UvA), showcasing recent work on geometry-grounded representation learning - addressing fundamental limitations in geometric reasoning of current AI systems. 🤖 Exciting times ahead for geometric deep learning! 🌐 🤩