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

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

🐳 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

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...

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 🌍

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

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!

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.

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

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!

🚨 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 👇

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!

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.

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!

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

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)

VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann · Christian Andersson Naesseth · Jan-Willem van de Meent Thu 12 Dec 11 a.m. PST — 2 p.m. PST East Exhibit Hall A-C #4105

Today my collaborators are presenting no less than 3 of our papers at #NeurIPS2024 Come check out the posters and talk to everyone to find out more about molecule generation, early-exit with risk control, or speeding up variational inference!

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

This is happening today! Unfortunately I couldn't be there, but go talk to @eijkelboomfloor.bsky.social @gbarto.bsky.social @jwvdm.bsky.social about our work on Variational Flow Matching.

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

⚙️Variational Flow Matching for Graph Generation by @eijkelboomfloor.bsky.social *, @gbarto.bsky.social*, @canaesseth.bsky.social, @wellingmax.bsky.social, @jwvdm.bsky.social 🪪https://neurips.cc/virtual/2024/poster/94958 📜https://arxiv.org/abs/2406.04843 🧵3 / 12

🪪VISA: Variational Inference with Sequential Sample-Average Approximations by @zmheiko.bsky.social, @canaesseth.bsky.social, @jwvdm.bsky.social 🪪https://neurips.cc/virtual/2024/poster/93819 📜https://arxiv.org/abs/2403.09429 🧵8 / 12

🧑‍💻 Practical Shuffle Coding by Julius Kunze, Daniel Severo, @jwvdm.bsky.social , James Townsend 🪪https://neurips.cc/virtual/2024/poster/93780 🧵12 / 12

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!

Optimizing decision utility in Bayesian experimental design is key to improving downstream decision-making. Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064 @lacerbi.bsky.social @samikaski.bsky.social Details below.

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! :)

For those of you based in the low countries, I put together a quick started pack with folks in the AI, ML, and Stats communities. Do let me know if you would like to be listed! go.bsky.app/LFHNMNk

PSA: Are your Bluesky notifications a tad too loud? You can set Bluesky to only replies and quotes. Go to the Notifications tab (web or mobile) and click on the ⚙️ in the top right. Note: This option is not found under Settings

📣 We have a tenure-track faculty opening in Responsible AI at @ethzurich.bsky.social : ethz.ch/en/the-eth-z.... Deadline Nov 30 for full consideration. ETH Zurich is a vibrant environment for AI research with the ETH AI Center etc. Please help spread the word!

I got a Probabilistic Programming starter pack going. Hit me up if you're involved with #probprog R&D and want in! go.bsky.app/JfvubEf

We're hiring new #nlp faculty this year! Asst or Assoc Professors in NLP at UMass CICS -- careers.umass.edu/amherst/en-u...

Yesterday was my first day at FAIR Chemistry as a research scientist. Looking for interns for summer 2025!

I made a starter pack for researchers in probabilistic machine learning. DM/reply if you want to be added! go.bsky.app/DuCtJqC

My team is hiring! PRISM🌈 (Planning, Reasoning, Inference & Structured Models), which I co-lead with @theophane.bsky.social, is hiring a Research Engineer to help us develop planning and reasoning capabilities in Gemini. Apply here: boards.greenhouse.io/deepmind/job...

Trembling with excitement in announcing the first ever International Conference on Probabilistic Numerics! Probabilistic Numerics is about machine learning FOR numerical computation, like optimisation. 1st - 3rd September 2025, EURECOM, France, submissions due 5th March 2025. probnum25.github.io