AMLab
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
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AMLab
@amlab.bsky.social
· Nov 21
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
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
Reposted by AMLab
🤹 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:
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:
June 21, 2025 at 4:23 PM
🤹 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:
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
🚨Application deadline on the 15th of June
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...
Deadline: 15 June
werkenbij.uva.nl/en/vacancies...
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!
werkenbij.uva.nl
May 13, 2025 at 3:40 PM
Don's miss this exciting opportunity! 🔥
🚨Application deadline on the 15th of June
🚨Application deadline on the 15th of June
Reposted by AMLab
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!
Exciting new PhD position at Utrecht University on the #causal effects of communication in #multi-agent #RL with Shihan Wang, Mehdi Dastani and me 🎉
This is part of www.hybrid-intelligence-centre.nl, which aims at combining human and machine intelligence.
Deadline 20 May
www.uu.nl/en/organisat...
This is part of www.hybrid-intelligence-centre.nl, which aims at combining human and machine intelligence.
Deadline 20 May
www.uu.nl/en/organisat...
PhD Position on Causal Effects of Communication in MARL
Join us to work on the causal effects of communication in multi-agent reinforcement learning (MARL).
www.uu.nl
May 12, 2025 at 9:21 AM
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!
Reposted by AMLab
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...
Deadline: 15 June
werkenbij.uva.nl/en/vacancies...
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!
werkenbij.uva.nl
May 12, 2025 at 5:03 PM
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...
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
See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦
🧵1 / 8
May 6, 2025 at 2:53 PM
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
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! 🔥
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! 🔥
May 1, 2025 at 1:19 PM
🥇 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! 🔥
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! 🔥
Reposted by AMLab
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.
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.
April 15, 2025 at 3:39 AM
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.
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.
Reposted by AMLab
🤹 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
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
March 5, 2025 at 6:04 PM
🤹 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
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
Reposted by AMLab
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
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
March 4, 2025 at 2:04 PM
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
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
Reposted by AMLab
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
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
February 19, 2025 at 3:13 PM
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
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
Reposted by AMLab
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
Riccardo is an amazing @ellis.eu PhD co-supervised w/ Davide Bacciu
@ellisamsterdam.bsky.social
February 17, 2025 at 6:57 PM
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
Riccardo is an amazing @ellis.eu PhD co-supervised w/ Davide Bacciu
@ellisamsterdam.bsky.social
💡 ➡️ 🧠 ➡️ 🚀
Do you want to estimate causal effects for a small set of target variables without knowing the causal graph, but discovering it takes too long? Now you can get adjustment sets in a SNAP🫰accepted at #aistats2025!
📜 arxiv.org/abs/2502.07857
🧩 matyasch.github.io/snap/
🧵 1/10
📜 arxiv.org/abs/2502.07857
🧩 matyasch.github.io/snap/
🧵 1/10
February 13, 2025 at 2:12 PM
💡 ➡️ 🧠 ➡️ 🚀
😍💥
🚨 Excited to share our work just published in Physical Review Letters with @wellingmax.bsky.social, @jwvdm.bsky.social, @berndensing.bsky.social, Marjolein Dijkstra and René van Roij: doi.org/10.1103/Phys....
Details below 👇
Details below 👇
Learning Neural Free-Energy Functionals with Pair-Correlation Matching
The intrinsic Helmholtz free-energy functional, the centerpiece of classical density functional theory, is at best only known approximately for 3D systems. Here we introduce a method for learning a ne...
doi.org
February 13, 2025 at 9:34 AM
😍💥
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 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! ❄️💫
December 20, 2024 at 10:37 AM
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 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 💥
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 💥
December 13, 2024 at 7:50 AM
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 💥
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 💥
Reposted by AMLab
🧑🏫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
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656
December 13, 2024 at 2:57 AM
🧑🏫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
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656
Reposted by AMLab
Here are the dapper @metodjazbec.bsky.social and Alexander Timans, presenting their work on early-exit with risk control.
December 12, 2024 at 9:41 PM
Here are the dapper @metodjazbec.bsky.social and Alexander Timans, presenting their work on early-exit with risk control.
Reposted by AMLab
Come see @eijkelboomfloor.bsky.social and @gbarto.bsky.social present their work on variational flow matching now in West Ballroom A-D #7103!
December 11, 2024 at 7:15 PM
Come see @eijkelboomfloor.bsky.social and @gbarto.bsky.social present their work on variational flow matching now in West Ballroom A-D #7103!
Reposted by AMLab
François Cornet and @gbarto are presenting their work on Equivariant Neural Diffusion now at East Exhibition #2403!
December 12, 2024 at 7:29 PM
François Cornet and @gbarto are presenting their work on Equivariant Neural Diffusion now at East Exhibition #2403!
Reposted by AMLab
Come talk to @zmheiko.bsky.social about his work on sample-efficient black box variational inference! (East Exhibition Hall #4105)
December 12, 2024 at 7:23 PM
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! 🤩🥳🎉
🎉 Congratulations to our newly accepted ELLIS Fellows & Scholars in 2024! Top researchers in #MachineLearning join the network to advance science & mentor the next generation. #ELLISforEurope #AI
🌍 Know someone on the list? bit.ly/3ZJd9Cz
Tag them in a reply with congratulations.
🌍 Know someone on the list? bit.ly/3ZJd9Cz
Tag them in a reply with congratulations.
161 outstanding machine learning researchers accepted as new ELLIS Fellows & Scholars
The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...
bit.ly
December 9, 2024 at 4:02 PM
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
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
December 9, 2024 at 1:24 PM
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
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
📄 Paper link: arxiv.org/abs/2411.08706
🏆 Details: arcprize.org/2024-results
Searching Latent Program Spaces
Program synthesis methods aim to automatically generate programs restricted to a language that can explain a given specification of input-output pairs. While purely symbolic approaches suffer from a c...
arxiv.org
December 9, 2024 at 10:27 AM
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
📄 Paper link: arxiv.org/abs/2411.08706
🏆 Details: arcprize.org/2024-results
Reposted by AMLab
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!
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!
December 9, 2024 at 10:11 AM
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!
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/ 👩💻
We attended inspiring talks by @rmassidda.it , currently visiting AMLab, and @phillip-lippe.bsky.social 🤩
👩💻 Slides: amscausality.github.io/upcoming/ 👩💻
December 5, 2024 at 8:43 PM
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/ 👩💻
We attended inspiring talks by @rmassidda.it , currently visiting AMLab, and @phillip-lippe.bsky.social 🤩
👩💻 Slides: amscausality.github.io/upcoming/ 👩💻