Chengkun Li
@chengkunli.bsky.social
Reposted by Chengkun Li
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.
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.
October 1, 2025 at 1:57 PM
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.
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!
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?
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?
April 28, 2025 at 1:39 AM
I’ll be at the AABI symposium tomorrow. Looking forward to seeing everyone there!
Reposted by Chengkun Li
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
Go talk to my incredible PhD students @huangdaolang.bsky.social & @chengkunli.bsky.social + amazing collaborator Severi Rissanen.
@univhelsinkics.bsky.social FCAI
April 27, 2025 at 8:53 AM
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
Go talk to my incredible PhD students @huangdaolang.bsky.social & @chengkunli.bsky.social + amazing collaborator Severi Rissanen.
@univhelsinkics.bsky.social FCAI
Reposted by Chengkun Li
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...)
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...)
April 7, 2025 at 2:03 PM
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...)
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...)
Reposted by Chengkun Li
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!
⚡️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...
⏭️ Join us as we continue our series into efficient AI inference, covering both theoretical insights and practical implementation:
🔗 datacrunch.io/blog/deepsee...
DeepSeek + SGLang: Multi-Head Latent Attention
Multi-Head Latent Attention (MLA) improves upon Group Query Attention (GQA), enabling long-context reasoning models and wider adoption across open-source LLMs.
datacrunch.io
March 12, 2025 at 7:01 PM
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!
Reposted by Chengkun Li
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!
March 6, 2025 at 10:32 AM
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!
Reposted by Chengkun Li
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
www.ellisinstitute.fi
February 14, 2025 at 11:32 AM
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
Reposted by Chengkun Li
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
Postdoc 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-...
Winter 2025 - Researcher positions in AI and machine learning — FCAI
fcai.fi
January 28, 2025 at 8:24 AM
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
Reposted by Chengkun Li
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...
And we are hiring! Please repost!
Website: www.helsinki.fi/probabilisti...
January 28, 2025 at 2:21 PM
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...
And we are hiring! Please repost!
Website: www.helsinki.fi/probabilisti...
Reposted by Chengkun Li
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!
@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!
January 14, 2025 at 3:10 PM
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!
@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!
Reposted by Chengkun Li
