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

ProbML 2026 (formerly AABI) invites submissions on probabilistic ML (both Bayesian and otherwise!), July 5 in Seoul (co-located with ICML). Website: probml.cc. Tracks: proceedings (PMLR), workshop, fast track. New focus includes applications in healthcare and climate! Submit by: 20 March 2026.

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

🚨🚀 Come hear @gbarto.bsky.social talk about SDE Matching tomorrow! SDE Matching is a highly efficient and scalable training framework for Latent/Neural SDEs. You no longer have to discretize or simulate your SDE models when fitting them to data. #SDE #Diffusion #FlowMatching #ML

Overleaf down 😅 #Overleaf #NeurIPS

a cartoon dog is sitting at a table with a cup of coffee in front of a fire with the words this is fine .

ALT: a cartoon dog is sitting at a table with a cup of coffee in front of a fire with the words this is fine .

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Wow, I am floored! With the UAI results in, my lab with collaborators have achieved the #PerfectGame 🏆 100% acceptance rate across an entire #ML cycle! (5/5 #NeurIPS, #ICLR, 2/2 #AISTATS, 2/2 #ICML, 1/1 #UAI) 10 for 10. 🥳🍾🤩 #Science #AI #ElementalAI

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

#AISTATS2025 happening in Phuket, Thailand! I have two papers at the conference: 1. Max-Rank: Efficient Multiple Testing for Conformal Prediction 2. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space Both at poster session 2!

Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025! #ML #SDE #Diffusion #GenAI 🤖🧠

Tim G. J. Rudner@timrudner.bsky.social · last yr.

Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!

If you missed it and are attending #AABI at NTU today you can find me presenting it again at the afternoon poster session! approximateinference.org

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approximateinference.org

Christian A. Naesseth@canaesseth.bsky.social · last yr.

Come check out SDE Matching at the #ICLR2025 workshops, a new simulation-free framework for training fully general Latent/Neural SDEs (generalisation of diffusion and bridge models). FPI: Morning poster session DeLTa: Afternoon poster session #SDE #Bayes #GenAI #Diffusion #Flow

Come check out SDE Matching at the #ICLR2025 workshops, a new simulation-free framework for training fully general Latent/Neural SDEs (generalisation of diffusion and bridge models). FPI: Morning poster session DeLTa: Afternoon poster session #SDE #Bayes #GenAI #Diffusion #Flow

The calm before the storm #ICLR2025 🔥🔥🔥

Attending #ICLR2025 and #AABI2025. Presenting at the conference and workshops: 1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437 2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI openreview.net/forum?id=dwF... arxiv.org/abs/2502.02472 lmk if you want to chat!

E-Valuating Classifier Two-Sample Tests

We introduce a powerful deep classifier two-sample test for high-dimensional data based on E-values, called E-C2ST. Our test combines ideas from existing work on split likelihood ratio tests and...

openreview.net

New blog post: let's talk about latents! sander.ai/2025/04/15/l...

Generative modelling in latent space

Latent representations for generative models.

sander.ai

Working on probabilistic modeling, inference, and decision-making? Join us at #AABI 2025 if you’re going to Singapore later this month! Register here (free but spots are limited!): approximateinference.org

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Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making! Tickets (free but limited!): lu.ma/5syzr79m More info: approximateinference.org #Bayes #MachineLearning #ICLR2025 #AABI2025

Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)

NeurIPS participation in Europe

We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...

docs.google.com

Don't forget to submit your Fast-Track papers to #AABI2025 today! If you have an accepted paper in machine learning since AABI 2024 present it as a poster. CfP: approximateinference.org/call/ Looking forward to seeing everyone in Singapore on April 29, just after #ICLR2025!

Call for Papers

approximateinference.org

A bit unfortunate that AC_CONF_LIST doesn't include AISTATS or UAI...

NeurIPS Conference@neuripsconf.bsky.social · last yr.

The NeurIPS Call for Papers is now live. Abstracts are due May 11th AoE, with full papers due May 15th AoE. neurips.cc/Conferences/... Please read about key changes to Dataset and Benchmarks submissions this year in our blog post: blog.neurips.cc/2025/03/10/n...

I already advertised for this document when I posted it on arXiv, and later when it was published. This week, with the agreement of the publisher, I uploaded the published version on arXiv. Less typos, more references and additional sections including PAC-Bayes Bernstein. arxiv.org/abs/2110.11216

This is really interesting! Learning the posterior probability path p(x0 | xt) rather than only the mean is something we suggested in Variational Flow Matching as well, but for a different reason (generating discrete data). Very cool that it can also be used for faster generation.

Better diffusions with scoring rules! Fewer, larger denoising steps using distributional losses; learn the posterior distribution of clean samples given the noisy versions. arxiv.org/pdf/2502.02483 @vdebortoli.bsky.social Galashov Guntupalli Zhou @sirbayes.bsky.social @arnauddoucet.bsky.social

You still have a chance to submit your work to all tracks for AABI. New deadline is February 14 for both Workshop and Proceedings track! #AABI2025 #ML #ICLR2025 #Stats #Bayes

Christian A. Naesseth@canaesseth.bsky.social · 2y ago

Don't forget #AABI, the Symposium on Advances in Approximate Bayesian Inference is coming to Singapore!! Co-located #ICLR2025 Workshop Track: February 7, AoE Proceedings Track: February 7, AoE Fast Track: February 18 / March 14, AoE approximateinference.org/call/ #ML #Bayes #GenAI

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Sara Magliacane hiring PhDs at UvA@smaglia.bsky.social · last yr.

Last days for submitting to #UAI2025! The deadline is Feb 10 23:59 AoE 💥 We welcome papers in #uncertainty #AI #ML #causality #CausalSky #statML #probabilisticmodels #reasoning #impreciseprobabilities #neurosymbolic and other topics

We have extended the #AABI workshop and proceedings deadlines! *New deadlines:* Workshop Track: February 14, AoE Proceedings Track: February 14, AoE approximateinference.org/call/ #ProbML #AABI #ICLR #Bayes

Call for Papers

approximateinference.org

Really excited about this! We note a connection between diffusion/flow models and neural/latent SDEs. We show how to use this for simulation-free learning of fully flexible SDEs. We refer to this as SDE Matching and show speed improvements of several orders of magnitude. arxiv.org/abs/2502.02472

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

The Latent Stochastic Differential Equation (SDE) is a powerful tool for time series and sequence modeling. However, training Latent SDEs typically relies on adjoint sensitivity methods, which depend ...

arxiv.org

Submit your work to the 7th Symposium on Advances in Approximate Bayesian Inference! #AABI This year, #AABI will be co-located with #ICLR2025! Workshop Track: February 7, AoE Proceedings Track: February 7, AoE Fast Track: February 18 / March 14, AoE approximateinference.org/call/

Call for Papers

approximateinference.org

Don't forget #AABI, the Symposium on Advances in Approximate Bayesian Inference is coming to Singapore!! Co-located #ICLR2025 Workshop Track: February 7, AoE Proceedings Track: February 7, AoE Fast Track: February 18 / March 14, AoE approximateinference.org/call/ #ML #Bayes #GenAI

Call for Papers

approximateinference.org

📢PSA: #NeurIPS2024 recordings are now publicly available! The workshops always have tons of interesting things on at once, so the FOMO is real😵‍💫 Luckily it's all recorded, so I've been catching up on what I missed. Thread below with some personal highlights🧵

Interesting 🤔 Reminds me of our work on combining multi-proposals with "multi-chains". This worked best by splitting compute at 50/50 between the number of (interacting) Markov chains and independent proposals. proceedings.mlr.press/v48/rainfort...

Alex Thiery@alexxthiery.bsky.social · 2y ago

Very neat result by Pozza & Zanella: multi-proposal MCMC schemes are basically not worth it! And with GPUs, the gains are at most modest... arxiv.org/abs/2410.23174

#AISTATS decisions are out! My lab went 2 for 2 😀 I would also recommend having a look at submitting to the AABI fast-track or workshop track that happens in-between ICLR and AISTATS in Singapore: approximateinference.org