Pierre-Alexandre Mattei
@pamattei.bsky.social
1.3K followers 520 following 20 posts
Research scientist, Inria. Statistical machine learning.
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Reposted by Pierre-Alexandre Mattei
euripsconf.bsky.social
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!
pamattei.bsky.social
« 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!
Reposted by Pierre-Alexandre Mattei
euripsconf.bsky.social
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.

More info at: eurips.cc/become-sponsor/
Reposted by Pierre-Alexandre Mattei
arnosolin.bsky.social
📣 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]
Reposted by Pierre-Alexandre Mattei
shubhendu.bsky.social
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
Estimating the size of a set using cascading exclusion
Let $S$ be a finite set, and $X_1,\ldots,X_n$ an i.i.d. uniform sample from $S$. To estimate the size $|S|$, without further structure, one can wait for repeats and use the birthday problem. This requ...
arxiv.org
Reposted by Pierre-Alexandre Mattei
spmontecarlo.bsky.social
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-...).
Reposted by Pierre-Alexandre Mattei
euripsconf.bsky.social
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
Reposted by Pierre-Alexandre Mattei
ellis.eu
ELLIS @ellis.eu · Jul 16
📢 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
Reposted by Pierre-Alexandre Mattei
hannawallach.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)
pamattei.bsky.social
The first talk of the second day was also Bayesian! @julyanarbel.bsky.social gave a nice overview of Bayesian deep learning.
Julyan Arbel presenting. Julyan Arbel presenting.
pamattei.bsky.social
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.
Judith Rousseau The entrance of the campus
Reposted by Pierre-Alexandre Mattei
Reposted by Pierre-Alexandre Mattei
claireve.bsky.social
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
ewrl18.bsky.social
Mark your calendars, EWRL is coming to Tübingen! 📅
When? September 17-19, 2025.
More news to come soon, stay tuned!
Reposted by Pierre-Alexandre Mattei
nolovedeeplearning.bsky.social
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 💙
jesfrellsen.bsky.social
Great quote (and great talk) by @nolovedeeplearning.bsky.social at #GeMMS2025
pamattei.bsky.social
… folowed by Frédéric Precioso, Aude Sportisse, and Benjamin Billot in the afternoon!
Fred Precioso giving a talk. Aude Sportisse giving a talk. Benjamin Billot giving a talk.
pamattei.bsky.social
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…
Gilles Louppe giving a talk. Yingzhen Li giving a talk.
pamattei.bsky.social
Followed by @jmtomczak.bsky.social on mixtures models and probabilistic circuits!
Reposted by Pierre-Alexandre Mattei
gabrielpeyre.bsky.social
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
pamattei.bsky.social
We’ve extended the Statlearn/GeMSS Spring school deadline till February 2! More details at gemss.ai
pamattei.bsky.social
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!
jesfrellsen.bsky.social
Excited about

🎓 Generative Modeling Summer School / Statlearn
🗓️ Mar 31 - Apr 4, 2025, France

ℹ️ gemss.ai
🎟️ Deadline: Jan 27, 2025

🧑‍🏫 Yingzhen Li, @stephanmandt.bsky.social, Aude Sportisse, Anna Korba, @glouppe.bsky.social, @jesfrellsen.bsky.social, @pamattei.bsky.social, @jmtomczak.bsky.social, TBA
Generative Modeling Summer School (GeMSS)
gemss.ai
Reposted by Pierre-Alexandre Mattei
bachfrancis.bsky.social
A happy author discovering the first hard copies
Reposted by Pierre-Alexandre Mattei
federicobergamin.bsky.social
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...