Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 30/09/20261/ A short film about how your brain solves the "one thing or two?" problem, based on our recent paper with Shuze Liu, Trevor Holland and @weijima.bsky.social in PLoS Comp Biol. 173
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 07/09/20261/ 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 👇 2139
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 30/04/20261/ 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... 12610
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 22/04/20261/ Another @iclr-conf.bsky.social paper thread! Do you want to make SOTA probabilistic predictions using transformers & your dataset is a *set* (not a sequence or time series), so you care about permutation invariance... but also efficiency? Keep reading, we have exactly what you need. 👇 1117
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 20/04/20261/ One of the issues of fully amortized inference / pretrained simulator-based inference is that you are stuck with the "prior" training distribution. What if you change your mind after training? In PriorGuide, one of our papers at ICLR this week, we allow the prior to be changed at runtime! 1248
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 06/02/2026A bit of a delayed celebration, but happy that our three submitted papers were accepted at @iclr-conf.bsky.social 2026! This was a... complicated year for ICLR, but hopefully now we can focus on the science. 1154
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 14/01/20261/ Excited to share our new work published in Transactions on Machine Learning Research (TMLR), Stacking Variational Bayesian Monte Carlo (S-VBMC)! 1142
Reposted by Francesco SilvestrinLuigi Acerbi @lacerbi.bsky.social · 27/11/2025If you are at ELLIS UnConference on Dec 2 (pre @euripsconf.bsky.social ), join us at our Amortized ProbML workshop! Come for our great speakers: @paulbuerkner.com Yingzhen Li @davidruegamer.bsky.social @liza-semenova.bsky.social & poster session; stay for our hot takes on amortized probML! 1186
