Congratulations to everyone who got their @neuripsconf.bsky.social papers accepted 🎉🎉🎉
At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
« Can you train a standard classifier without labels ? » was the question we tried to investigate in this survey. Very happy to see @louisohl.bsky.social ‘s final PhD projet published in ACM CSUR!
Is your company interested in reaching Europe's leading AI researchers?
If so, don't worry! There are still plenty of opportunity to support #EurIPS as a sponsor. Sponsorship packages are available and can be further customized if necessary.
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📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
Estimating a set’s size from uniform (or o/w well-defined) samples is a classical problem, with two well-studied extremes: min structure (birthday problem), max structure (German tank problem). A framework interpolating between them, amongst other things:
arxiv.org/abs/2508.05901
I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025.
Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
📢 Present your NeurIPS paper in Europe!
Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date:
📅 Dec 2–7, 2025
📍 Copenhagen 🇩🇰
🔗eurips.cc
#EurIPS
@euripsconf.bsky.social
Alright, people, let's be honest: GenAI systems are everywhere, and figuring out whether they're any good is a total mess. Should we use them? Where? How? Do they need a total overhaul?
(1/6)
Pour que les Français acceptent la nécessaire consolidation des finances publiques, il faut que la charge en soit équitablement répartie. Ma tribune @lemonde avec O. Blanchard et G. Zucman.
www.lemonde.fr/idees/articl...
Julyan Arbel presenting.
Julyan Arbel presenting.
The first talk of the second day was also Bayesian! @julyanarbel.bsky.social gave a nice overview of Bayesian deep learning.
Judith Rousseau
The entrance of the campus
The Journées de Statistique of the @statfr.bsky.social is one of my favorite conferences! It started with the Le Cam award being given to Judith Rousseau for her work on Bayesian asymptotics. Judith talked about semiparametric Bernstein-von Mises theorems and her new love for the Bayesian bootstrap.
New preprint!
Introducing "A tutorial on discriminative clustering and mutual information"
With @pamattei.bsky.social and Frédéric Precioso.
arxiv.org/abs/2505.04484
This preprint covers the history of discriminative clustering with pedagogical intents.
We are organising EWRL in Tübingen in September. We are working on the program and we will soon be able to make first announcements. Stay tuned, follow @ewrl18.bsky.social
Thanks for coming :)
and what a great #PhD summer school!
Thanks @jesfrellsen.bsky.social @pamattei.bsky.social and @jmtomczak.bsky.social for organizing it (and having me).
Amazing talks, interactions, location and food 💙
Fred Precioso giving a talk.
Aude Sportisse giving a talk.
Benjamin Billot giving a talk.
… folowed by Frédéric Precioso, Aude Sportisse, and Benjamin Billot in the afternoon!
Gilles Louppe giving a talk.
Yingzhen Li giving a talk.
Today was the first day of invited talks of GeMSS/Statlearn @gemssai.bsky.social with great lectures by @glouppe.bsky.social and Yingzhen Li in the morning…
And, finally, the VAE lectures 🧡 by @jesfrellsen.bsky.social
Followed by @jmtomczak.bsky.social on mixtures models and probabilistic circuits!
This review paper by @guillaume-garrigos.com on SGD-related algorithms is a fantastic resource, offering elegant, self-contained, and concise proofs in a single, accessible reference. arxiv.org/pdf/2301.11235
We’ve extended the Statlearn/GeMSS Spring school deadline till February 2! More details at gemss.ai
We’re organizing once again the Gznerative Modeling Summer school this spring on the Côte d’Azur, merged for the occasion with SFdS’s Statlearn!
Applications are open!
A happy author discovering the first hard copies
Heading to Vancouver for NeurIPS to present our paper “On Conditional Diffusion Models for PDE Simulation”. I'll be together with Sasha and Cristiana at poster 2500 during Thursday’s late afternoon session. Looking forward exciting discussions and meeting new people! 🥸🥸
neurips.cc/virtual/2024...
Sad news. Jacques Roubaud, mathematician, poet, member of the OuLiPo, passed away today.
en.wikipedia.org/wiki/Jacques...
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
👩🎓👨🎓 Internship offers (1st step to PhD program) in my group:
team.inria.fr/soda/job-off...
Topics:
◼ Health AI & causality, accounting for censoring (for people who love health impact)
◼ Foundation models for tabular learning (for people into bigger models)
Come work with us!
Jean-Gabriel Ganascia giving his talk
Next, @quecalcoatle.bsky.social explains practical paths towards ethics in AI
Serena Villata presenting
Followed by Serena Villata talking about good (and bad) arguments
