Chengkun Li
@chengkunli.bsky.social
Probabilistic machine learning, Bayesian computation, and computer vision PhD in Computer Science 📍Helsinki, Finland https://pipme.github.io/
1/ Dear all, I am hiring a PhD student and/or postdoc to join my group at the @univhelsinkics.bsky.social and @ellisinstitute.fi! The general topic is Amortized Probabilistic Machine Learning for Decision-Making with applications in healthcare and scientific modelling. DL September 21 More info 👇
me: now I've read the basic lit on approximate bayesian computation via bayesflow and I can start trying to distil it on time for the last lecture, to awe the students. @chengkunli.bsky.social : hold my mcmc (really really cool!)
Chengkun Li@chengkunli.bsky.social · 5mo ago😀 Enter the amortized Bayesian workflow from here 👉 pipme.github.io/amortized-Ba... Huge thanks to my great collaborators: @avehtari.bsky.social, @paulbuerkner.com, @stefanradev.bsky.social, @lacerbi.bsky.social, @marvin-schmitt.com!
😀 Enter the amortized Bayesian workflow from here 👉 pipme.github.io/amortized-Ba... Huge thanks to my great collaborators: @avehtari.bsky.social, @paulbuerkner.com, @stefanradev.bsky.social, @lacerbi.bsky.social, @marvin-schmitt.com!
Amortized Bayesian Workflow
Adaptive Bayesian workflow combining amortized inference with PSIS and MCMC diagnostics.
pipme.github.io
Luigi Acerbi@lacerbi.bsky.social · 5mo ago1/ Wouldn't it be nice if you could perform Bayesian inference *efficiently* but also *reliably*? Amortized inference offers the former, while MCMC is often presented as the "gold standard" for accuracy and reliability. Enter the Amortized Bayesian Workflow...
All approximations are wrong, but some are useful --> Stacking can make them more useful 😄
Luigi Acerbi@lacerbi.bsky.social · 8mo ago1/ Excited to share our new work published in Transactions on Machine Learning Research (TMLR), Stacking Variational Bayesian Monte Carlo (S-VBMC)!
Do you like to train neural networks to solve all your nasty probabilistic inference and sequential design problems? Do you love letter salads such as NPs, PFNs, NPE, SBI, BED? Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
I’ll be at the AABI symposium tomorrow. Looking forward to seeing everyone there!
Luigi Acerbi@lacerbi.bsky.social · last yr.1/10🔥 New paper alert in #AABI2025 Proceedings! Normalizing Flow Regression (NFR) — an offline Bayesian inference method. What if you could get a full posterior using *only* the evaluations you *already* have, maybe from optimization runs?
1/ If you are at ICLR / AABI / AISTATS, check out work from our lab and collaborators on *inference everywhere anytime all at once*! Go talk to my incredible PhD students @huangdaolang.bsky.social & @chengkunli.bsky.social + amazing collaborator Severi Rissanen. @univhelsinkics.bsky.social FCAI
1/ Just saw this paper using our PyVBMC (acerbilab.github.io/pyvbmc/) in structural engineering. Nice to see sample-efficient Bayesian inference for expensive computational models used in the wild! (Although we feel a bit more pressure to triple-check that our implementation has no bugs...)
Multi-Head Latent Attention vs Group Query Attention: We break down why MLA is a more expressive memory compression technique AND why naive implementations can backfire. Check it out!
@datacrunch.io · 2y ago⚡️Multi-Head Latent Attention is one of the key innovations that enabled @deepseek_ai's V3 and the subsequent R1 model. ⏭️ Join us as we continue our series into efficient AI inference, covering both theoretical insights and practical implementation: 🔗 datacrunch.io/blog/deepsee...
1/ Introducing ACE (Amortized Conditioning Engine)! Our new AISTATS 2025 paper presents a transformer framework that unifies tasks from image completion to BayesOpt & simulator-based inference under *one* probabilistic conditioning approach. It's Bayes all the way down!
If you want to start your own research group in AI & machine learning, with access to top resources for research incl. @lumi-supercomputer.eu, generous starting package & professorship affiliation with a university in the world’s happiest country, apply by March 9: www.ellisinstitute.fi/PI-recruit
Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland
Now recruiting new PIs in artificial intelligence and machine learning
ellisinstitute.fi
Reminder about postdoc and doctoral positions with option to select me as the supervisor for Bayesian topics. The call closes February 2nd. See also many other topics in ML and AI in Finland
Aki Vehtari@avehtari.bsky.social · 2y agoPostdoc and doctoral student positions in developing Bayesian methods! The positions are funded by Finnish Center for Artificial Intelligence FCAI and there are many other topics, too, but if you specify me as the preferred supervisor then it's going to be Bayesian. fcai.fi/winter-2025-...
1/ 🎉 We launched the *Helsinki Probabilistic Machine Learning Lab*, which combines multiple research groups at @univhelsinkics.bsky.social - and part of FCAI and ELLIS - working on, guess what, Probabilistic ML and AI. And we are hiring! Please repost! Website: www.helsinki.fi/probabilisti...
1/📯I am hiring! Postdoc position in Probabilistic Machine Learning and Amortized Inference. @univhelsinkics.bsky.social with strong links to the Finnish Center for AI (FCAI) Please see blurb and link in thread below. Applications evaluated on a rolling basis. Please reshare!
