Jan-Willem van de Meent
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Come join us in Amsterdam!
Erik Bekkers@erikjbekkers.bsky.social · 4mo agoWe'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...
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...
Vacancy — Assistant Professor in AI for Science (AI4Science)
<p><span>Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (<em><span>computational</span></em>) and 4th (<em><span...
werkenbij.uva.nl
TMLR's 2025 annual report! The word of the year is growth: whether it's our number of submissions, published papers, or reviewers, pretty much everything has increased ~50%. EXCEPT: our review period, which is still shorter than NeurICMLR (91 vs 126 days) Read on for more! 1/n
2025 was a blockbuster year for TMLR -- big growth from 2024, but also cementing our J2C partnership with NeurICMLR, and launching Beyond PDF. Also, cutting the cord: with the founding EiCs completing their tenure, I am now the old guy 👴 Check out the annual report for more!
Transactions on Machine Learning Research@tmlrorg.bsky.social · 6mo agoTMLR's 2025 annual report! The word of the year is growth: whether it's our number of submissions, published papers, or reviewers, pretty much everything has increased ~50%. EXCEPT: our review period, which is still shorter than NeurICMLR (91 vs 126 days) Read on for more! 1/n
We have a postdoc opening on the development of AI methods for accelerating computational fluid mechanics: werkenbij.uva.nl/en/vacancies/postdoctoral-researcher-in-ai-for-fluid-mechanics-netherlands-14589 Deadline for applications soon –– 28 Nov –– e-mail me if you are planning to apply!
Vacancy — Postdoctoral Researcher in AI for Fluid Mechanics
Are you interested in developing AI methods that can make physics simulations orders of magnitude faster? If the answer is yes, please continue reading!
werkenbij.uva.nl
Submit your work on to the @euripsconf.bsky.social workshop on on Differentiable Systems and Scientific Machine Learning! differentiable-systems.github.io/workshop-eur... Submission: 10 October Notification: 31 October Workshop: 6 or 7 December in Copenhagen
Differentiable Systems and Scientific Machine Learning Workshop - EurIPS 2025
differentiable-systems.github.io
At #ICML2025 this week? Come check out our work on controlled generation, simulation-free latent SDEs, and risk monitoring in test-time adaptation, and chat with the awesome students that made it happen! #SDE #Diffusion #FlowMatching #TTA #UncertaintyQuantification
Are you interested in improving the #interpretability, #robustness and #safety of current AI systems with #causality and #RL? Apply to our PhD position in Amsterdam 🚲🌷🇳🇱 Deadline: June 15
Sara Magliacane hiring PhDs at UvA@smaglia.bsky.social · last yr.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...
🐳 Controlled Generation with Equivariant Variational Flow Matching By @eijkelboomfloor.bsky.social , @zmheiko.bsky.social , @sharvaree.bsky.social , @erikjbekkers.bsky.social , @wellingmax.bsky.social , @canaesseth.bsky.social *, @jwvdm.bsky.social * 📜 As above - paper TBA soon 😉 🧵8 / 8
🌊 Exponential Family Variational Flow Matching for Tabular Data Generation By Andrés Guzmán-Cordero*, @eijkelboomfloor.bsky.social *, @jwvdm.bsky.social 📜 This paper will be shared soon - keep your eyes open! 🤩 🧵7 / 8
🐸 Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems By @maxxxzdn.bsky.social , @jwvdm.bsky.social , @wellingmax.bsky.social 📜 arxiv.org/abs/2502.17019 🧵2 / 8
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
Large-scale physical systems defined on irregular grids pose significant scalability challenges for deep learning methods, especially in the presence of long-range interactions and multi-scale couplin...
arxiv.org
Max Zhdanov@maxxxzdn.bsky.social · last yr.🤹 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
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! 🔥
Exciting project in Parkinson's disease! Patrik Verstreken's lab (verstrekenlab.sites.vib.be) and my lab are looking for a postdoc to develop and apply ML methods to the analysis of exciting brain-on-chip data. Please spread the word! More details at: jobs.vib.be/j/110908/pos...
Postdoc position: Computational methods for neurodegeneration research - VIB
About the labs The Verstreken Lab and the Gonçalves Lab are based in Leuven, Belgium and part of the
jobs.vib.be
Our colleagues at Climate AI Nordics are seeking collabroators in Iceland, the Faroe Islands, Greenland, and Åland 📣 Please reshare this with your networks if you have colleagues who might be interested in joining this team 🌍
Climate AI Nordics@climateainordics.com · last yr.Climate AI Nordics hits 140 members! 🎉 Using AI for climate resilience. Join our 🇩🇰🇫🇮🇳🇴🇸🇪 network, especially if you're in Iceland 🇮🇸, Faroe Island 🇫🇴, Greenland 🇬🇱 or Åland 🇦🇽! Let's build solutions. Sign up: climateainordics.com/join/ #ClimateAI
CmdStanR v 0.9.0 released! According to Andrew Johnson, this should make Windows installation easier plus many other improvements and bug fixes discourse.mc-stan.org/t/cmdstanr-v... #Bayesian #MCMC
CmdStanR: v0.9.0 Release
Hello all, I’m excited to announce that we have now released CmdStanR v0.9.0! This is a minor release, wrapping up several months of bugfixes, quality-of-life improvements, and updates to documentatio...
discourse.mc-stan.org
Just returned from an inspiring three weeks at AIMS (aims.ac.za) in Cape Town, where I taught Generative AI with @eijkelboomfloor.bsky.social. I was really impressed with these students, who are engaged, very hard working, and asked some of the best questions that I have ever had in class!
Excellent work by @maxxxzdn that uses ideas from computational physics to design scalable transformers!
Max Zhdanov@maxxxzdn.bsky.social · last yr.🤹 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
We are hiring on the Generative Media team in London: boards.greenhouse.io/deepmind/job... We work on Imagen, Veo, Lyria and all that good stuff. Come work with us! If you're interested, apply before Feb 28.
Research Scientist, Generative Media
London, UK
boards.greenhouse.io
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
Come to #accelerate25 the premier conference on #aiformaterials #selfdrivinglabs #chemsky Please RT
Acceleration Consortium@accelerationc.bsky.social · last yr.Registration for the 2025 Accelerate conference in Toronto (Aug 11–14) opens soon! Be the first to know: zr2z766pxls.typeform.com/accelerate25
Very excited about this line of work by Jacco, which opens up opportunities for more scalable modeling of fluids at the mesoscopic scale. I think this will be particularly promising in the context of applications to materials design!
Jacobus Dijkman@jdijkman.bsky.social · last yr.🚨 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 👇
🚨 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 👇
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
Join us on 27 Feb in Amsterdam for the ELLIS workshop on Representation Learning and Generative Models for Structured Data ✨ sites.google.com/view/rl-and-... Inspiring talks by @eisenjulian.bsky.social, @neuralnoise.com, Frank Hutter, Vaishali Pal, TBC. We welcome extended abstracts until 31 Jan!
Open #postdoc position in *Organic/Medicinal Chemistry* for generative #AI in Drug Discovery — join us @tueindhoven.bsky.social 💪🏻 Funded by the European Research Council (ERC). Deadline: Jan 15, 25 jobs.tue.nl/nl/vacature/... Repost appreciated!
Postdoc In Organic/Medicinal Chemistry for generative AI in Drug Discovery
De TU/e is voortdurend op zoek naar wetenschappelijk en niet-wetenschappelijk personeel om haar ambities waar te maken. Kijk hier voor ons actuele vacatureaanbod.
jobs.tue.nl
Really enjoyed this talk from Arnaud! It is so refreshing when a speaker focuses on providing a lucid overview of methods and their connections, past and present. Something to aspire to for all of us.
Arnaud Doucet@arnauddoucet.bsky.social · 2y agoThe slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...
When a bunch of diffusers sit down and talk shop, their flow cannot be matched😎 It's time for the #NeurIPS2024 diffusion circle! 🕒Join us at 3PM on Friday December 13. We'll meet near this thing, and venture out from there and find a good spot to sit. Tell your friends!
If you're at #NeurIPS2024, join us this afternoon to talk diffusion, flows and all that jazz. Be there or be non-circular!
Sander Dieleman@sedielem.bsky.social · 2y agoWhen a bunch of diffusers sit down and talk shop, their flow cannot be matched😎 It's time for the #NeurIPS2024 diffusion circle! 🕒Join us at 3PM on Friday December 13. We'll meet near this thing, and venture out from there and find a good spot to sit. Tell your friends!
Here are the dapper @metodjazbec.bsky.social and Alexander Timans, presenting their work on early-exit with risk control.
AMLab@amlab.bsky.social · 2y ago🚪Fast yet Safe: Early-Exiting with Risk Control by @metodjazbec.bsky.social*, Alexander Timans*, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, @canaesseth.bsky.social, Eric Nalisnick 🪪https://neurips.cc/virtual/2024/poster/94477 📜https://arxiv.org/abs/2405.20915 🧵6 / 12
François Cornet and @gbarto are presenting their work on Equivariant Neural Diffusion now at East Exhibition #2403!
AMLab@amlab.bsky.social · 2y ago🦠Equivariant Neural Diffusion for Molecule Generation by François Cornet, @gbarto.bsky.social, Mikkel Schmidt, @canaesseth.bsky.social 🪪https://neurips.cc/virtual/2024/poster/96702 🧵4 / 12