🤹 New blog post! I write about our recent work on using hierarchical trees to enable sparse attention over irregular data (point clouds, meshes) - Erwin Transformer, accepted to ICML 2025 blog: maxxxzdn.github.io/blog/erwin/ paper: arxiv.org/abs/2502.17019 Compressed version in the thread below:

Don's miss this exciting opportunity! 🔥 🚨Application deadline on the 15th of June

One more week to apply to this exciting position... and another position on #CausalRepresentationLearning and #ReinforcementLearning for learning provably correct #concepts from raw data opening up soon!

New PhD position at the University of Amsterdam in @amlab.bsky.social on learning concepts with theoretical guarantees using #causality and #RL with me, Frans Oliehoek (TU Delft) and Herke van Hoof 💥 Deadline: 15 June werkenbij.uva.nl/en/vacancies...

Exciting news: AMLab is happy to have 7 papers accepted at #ICML2025! 🎉 See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦 🧵1 / 8

🥇 3 Best Paper Awards for AMLab members! 1. Towards Variational Flow Matching on General Geometries by @olgatticus.bsky.social et al. 2. Generative Uncertainty in Diffusion Models by @metodjazbec.bsky.social et al. 3. SDE Matching by @gbarto.bsky.social et al. Congrats to everyone! 🔥

Test of Time Winner Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba Adam revolutionized neural network training, enabling significantly faster convergence and more stable training across a wide variety of architectures and tasks.

🤹 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

A few weeks ago, I presented SNAP at the wonderful #Bellairs Workshop on Causality in Barbados🐢 This Friday 🫰meets 🤌 as I will get to present SNAP again at the kick-off of the newest season of @causalclub.di.unipi.it! Check out this, and their other amazing upcoming talks at causalclub.di.unipi.it

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

Congratulations to "my" first PhD student Dr. @rmassidda.it who defended today at the University of Pisa *with honours* a thesis on "Methodological Advancements for Causal Abstraction Learning" 🎉 Riccardo is an amazing @ellis.eu PhD co-supervised w/ Davide Bacciu @ellisamsterdam.bsky.social

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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! ❄️💫

Yesterday, we had the honor of hosting 2021 Nobel Laureate in Economics, Guido Imbens, at our Lab! 🤩 We had the chance to attend his inspiring talk on Experimental Design in Marketplaces 📈👩‍💻 A big thank you to @smaglia.bsky.social for making this event possible 💥

🧑‍🏫Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯 📍West Ballroom A-D #6809 ⏰Fri 13 Dec 4:30 pm — 7:30 pm 🔗https://neurips.cc/virtual/2024/poster/94656

Here are the dapper @metodjazbec.bsky.social and Alexander Timans, presenting their work on early-exit with risk control.

Come see @eijkelboomfloor.bsky.social and @gbarto.bsky.social present their work on variational flow matching now in West Ballroom A-D #7103!

François Cornet and @gbarto are presenting their work on Equivariant Neural Diffusion now at East Exhibition #2403!

Come talk to @zmheiko.bsky.social about his work on sample-efficient black box variational inference! (East Exhibition Hall #4105)

Congrats to @smaglia.bsky.social for now being an ELLIS Scholar! 🤩🥳🎉

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

Congratulations to @mvmacfarlane.bsky.social for the 3rd place in ARC Prize 2024! :) 📄 Paper link: arxiv.org/abs/2411.08706 🏆 Details: arcprize.org/2024-results

I will be at NeurIPS this week. @amlab.bsky.social will be presenting 10 papers in total, and I myself am involved with 3 (see thread). I am also *hiring* for a postdoc position on data-efficient surrogate models for fluid dynamics. Come talk to me if you are on the market!

Yesterday the Amsterdam Causality Meeting took place at LAB42, hosted by @ellisamsterdam.bsky.social and co-organized by @smaglia.bsky.social 💥 We attended inspiring talks by @rmassidda.it , currently visiting AMLab, and @phillip-lippe.bsky.social 🤩 👩‍💻 Slides: amscausality.github.io/upcoming/ 👩‍💻

🚨 Happening today! 🚨 Don't miss the upcoming talks of @rmassidda.it and @phillip-lippe.bsky.social for the Amsterdam Causality Meeting, taking place this afternoon at UvA Science Park! 💥 See you there :)

📢 The next Amsterdam Causality Meeting supported by the #ELLISunitAmsterdam will take place on Wednesday! 📅 December 4th ⏰ 14.30-17.30 📍 Lab 42 in L3.36 🔗 amscausality.github.io/upcoming/ Come and join us! 🚀✨

Yesterday @ellisamsterdam.bsky.social hosted the yearly NeurIPS-Fest, a pre-party for NeurIPS with a keynote talk, poster session, drinks and bites! 🍺🍻 The keynote was by @canaesseth.bsky.social , who talked about "Diffusion, Flows and other stories", presenting his 5 papers accepted at NeurIPS! 💥

Thanks to the organizers and the speakers for the inspiring Geometry-Grounded Representation Learning (NeurReps) seminar that happened yesterday! 🤩 🚨 In case you missed it 🚨 the talk was recorded and it will be available soon at this link: www.neurreps.org/past-seminars

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! :)

Join us on November 21st, 4 PM CET for a talk on Geometry-Grounded Representation Learning 🧠🤯

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! 🌐 🤩

Hi everyone! This is AMLab :) Looking forward to share our research here on 🦋 !