iiinova — where your digital self keeps evolving

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Max Zhdanov @maxxxzdn.bsky.social · 21/06/2025

🤹 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:

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AMLab @amlab.bsky.social · 13/05/2025

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

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Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 12/05/2025

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!

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Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 12/05/2025

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...

werkenbij.uva.nl

Vacancy — PhD Position on Learning Concepts with Theoretical Guarantees Using Causality and RL

Are you interested in improving the interpretability, robustness and safety of current AI systems? If the answer is yes, please continue reading!

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AMLab @amlab.bsky.social · 06/05/2025

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

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AMLab @amlab.bsky.social · 01/05/2025

🥇 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! 🔥

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ICLR Conference @iclr-conf.bsky.social · 15/04/2025

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.

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Max Zhdanov @maxxxzdn.bsky.social · 05/03/2025

🤹 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

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Mátyás Schubert @matyasch.bsky.social · 04/03/2025

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

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Olga Zaghen @olgatticus.bsky.social · 19/02/2025

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

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Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 17/02/2025

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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AMLab @amlab.bsky.social · 13/02/2025

💡 ➡️ 🧠 ➡️ 🚀

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AMLab @amlab.bsky.social · 20/12/2024

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! ❄️💫

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AMLab @amlab.bsky.social · 13/12/2024

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 💥

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Grigory Bartosh @gbarto.bsky.social · 13/12/2024

🧑‍🏫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

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Jan-Willem van de Meent @jwvdm.bsky.social · 12/12/2024

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

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Jan-Willem van de Meent @jwvdm.bsky.social · 11/12/2024

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

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Jan-Willem van de Meent @jwvdm.bsky.social · 12/12/2024

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

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Jan-Willem van de Meent @jwvdm.bsky.social · 12/12/2024

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

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AMLab @amlab.bsky.social · 09/12/2024

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

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AMLab @amlab.bsky.social · 09/12/2024

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

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Jan-Willem van de Meent @jwvdm.bsky.social · 09/12/2024

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!

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AMLab @amlab.bsky.social · 05/12/2024

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/ 👩‍💻

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AMLab @amlab.bsky.social · 04/12/2024

🚨 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 :)

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ELLIS unit Amsterdam @ellisamsterdam.bsky.social · 29/11/2024

📢 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! 🚀✨

amscausality.github.io

Upcoming Meetings

Causality meeting 2023 with VU, UvA, Amsterdam UMC and CWI

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AMLab @amlab.bsky.social · 29/11/2024

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! 💥

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AMLab @amlab.bsky.social · 22/11/2024

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

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AMLab @amlab.bsky.social · 21/11/2024

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

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AMLab @amlab.bsky.social · 21/11/2024

🚨 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! :)

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Simone Azeglio @NeurIPS @s-azeglio.bsky.social · 19/11/2024

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

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AMLab @amlab.bsky.social · 19/11/2024

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! 🌐 🤩

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AMLab @amlab.bsky.social · 19/11/2024

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

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