#Hiring: postdocs in artificial intelligence and machine learning research. Deadline February 9, 2026. - Cutting-edge computational resources like @lumi-supercomputer.eu - Close collaboration with @ellis.eu - Ambitious, high-impact projects across Finland ➡️ www.ellisinstitute.fi/postdoc-recr...

1/ Very happy with this spotlight paper at @neuripsconf.bsky.social where we continue our "Amortize Everything" agenda. After the Amortized Conditioning Engine (Chang et al., AISTATS, 2025) which amortizes all sorts of inference tasks, here with ALINE we amortize both inference & design.

Daolang Huang@huangdaolang.bsky.social · 9mo ago

We jointly amortize Bayesian inference and active data acquisition within a single architecture. Excited to share our #NeurIPS2025 ✨Spotlight✨ paper “ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition”! www.huangdaolang.com/aline/

We jointly amortize Bayesian inference and active data acquisition within a single architecture. Excited to share our #NeurIPS2025 ✨Spotlight✨ paper “ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition”! www.huangdaolang.com/aline/

The recording of my talk on 'Multilevel neural simulation-based inference' at the 'One World Approximate Bayesian Inference' seminar series is now available on YouTube. Link: www.youtube.com/watch?v=hBWd...

François-Xavier Briol: Multilevel neural simulation-Multilevel neural simulation-based inference

YouTube video by ISBA - International Society of Bayesian Analysis

youtube.com

Approximate Bayes Seminar@approxbayesseminar.bsky.social · 11mo ago

The 1st OWABI talk of the Season will be given by François-Xavier Briol (University College London). who will talk about "Multilevel neural simulation-based inference".

The abstract submission deadline for the ELLIS Workshop on Amortized Probabilistic ML has been extended to October 25th! You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.

Thinking about a #PhD in AI + #machinelearning? 🇫🇮 Read about @ayushbharti.bsky.social's experience doing research in Finland: www.ellisinstitute.fi/collaboratio... Then, 👀 Apply for the @ellis.eu PhD program by October 31 🎃 : ellis.eu/news/ellis-p...

I'm looking for a Doctoral Researcher (PhD student) to work with me on simulation-based inference at Data Science Research Centre, Tampere University Check the link for details and send an application before October 10th. tuni.rekrytointi.com/paikat/?o=A_...

Doctoral Researcher (simulation-based inference) / Väitöskirjatutkija (simulaatio-pohjainen päättely)

tuni.rekrytointi.com

Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group. The slides are now available here: fxbriol.github.io/pdfs/slides-....

Great initiative!

François-Xavier Briol@fxbriol.bsky.social · last yr.

Today is the day of the pre-ICML event at UCL! Come check out the exciting work from academics, industry researchers, postdocs and PhD students from around London: sites.google.com/view/pre-icm... @statisticsucl.bsky.social @ucl-csml-ellis.bsky.social

"Cost-aware simulation-based inference" is accepted at AISTATS 2025. Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D arxiv.org/abs/2410.07930 @fxbriol.bsky.social @samikaski.bsky.social

Cost-aware simulation-based inference

Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computation...

arxiv.org

Looking forward to this!

Umberto Picchini@upicchini.bsky.social · last yr.

Reminder that the next OWABI seminar www.warwick.ac.uk/owabi is scheduled on Thursday the 24th April at 11am UK time. Our next speaker is @ayushbharti.bsky.social (Aalto University), who will talk about "Cost-aware simulation-based inference".

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 · last yr.

⚡️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...

Looking forward to speaking at the @approxbayesseminar.bsky.social!

François-Xavier Briol@fxbriol.bsky.social · 2y ago

My collaborator @ayushbharti.bsky.social will be presenting our recently accepted AISTATS paper on 'cost-aware simulation-based inference' at the next One World ABI Seminar on the 27th February. Full details of the seminar series: warwick.ac.uk/fac/sci/stat... arXiv paper: arxiv.org/abs/2410.07930

Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...

If you are interested in doing a #PhD with me at Imperial College London and qualify as a home student, please reach out (before end of 2024)! Potential topics: spatial statistics, applied deep generative models, probabilistic programming and more.

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.

@huangdaolang.bsky.social just joined here and you should follow him if you are interested in probabilistic machine learning, (Bayesian) exp. design and AI-assisted decision making. Not to mention that he has *several* NeurIPS papers already while in his 3rd PhD year...