iiinova — where your digital self keeps evolving

Reposted by Ayush Bharti

ELLIS Institute Finland @ellisinstitute.fi · 12/01/2026

#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...

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Luigi Acerbi @lacerbi.bsky.social · 03/12/2025

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.

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Daolang Huang @huangdaolang.bsky.social · 03/12/2025

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/

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François-Xavier Briol @fxbriol.bsky.social · 17/11/2025

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...

youtube.com

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

YouTube video by ISBA - International Society of Bayesian Analysis

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Conor Hassan @conorhassan.bsky.social · 17/10/2025

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.

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ELLIS Institute Finland @ellisinstitute.fi · 06/10/2025

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...

ellisinstitute.fi

“Collaboration is a feature of the Finnish research community” | ELLIS Institute Finland

Strong collegial network is an asset to Ayush Bharti's research on robust machine learning.

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Henri Pesonen @hpesonen.bsky.social · 01/09/2025

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_...

tuni.rekrytointi.com

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

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François-Xavier Briol @fxbriol.bsky.social · 28/08/2025

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-....

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Paul Chang @mummitrollet.bsky.social · 12/03/2025

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!

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Approximate Bayes Seminar @approxbayesseminar.bsky.social · 14/02/2025

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...

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Liza Semenova @liza-semenova.bsky.social · 19/12/2024

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.

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Daolang Huang @huangdaolang.bsky.social · 05/12/2024

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.

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Luigi Acerbi @lacerbi.bsky.social · 27/11/2024

@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...

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