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_...

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!

"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

Looking forward to this!

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!

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

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...