iiinova — where your digital self keeps evolving

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Guillaume Cabanac @gcabanac.cpesr.fr · 30/06/2026

Use #bibCheck if you are a French academic: it's an online tool that audits bibliographies and reports retracted or inexistent references, developed in collaboration with @cnrs-inist.bsky.social (see slide 25 ut3-toulouseinp.hal.science/hal-05646645...). Otherwise check github.com/gianlucasb/h...

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Gautam Kamath @gautamkamath.com · 16/09/2026

Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.

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David Picard @davidpicard.eurosky.social · 14/09/2026

New year, new semester, new course, new textbook: davidpicard.github.io/mldl/mldl-bo... 👀 Still in draft form, but not in a bad shape.

davidpicard.github.io

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NeurIPS Europe @neuripseurope.bsky.social · 11/09/2026

NeurIPS is approaching and registration for the Paris site will be opened on Monday Sept 14th, Anywhere on Earth. Registration happens at neurips.cc, each of the 3 sites has its own registration process. We'll be happy to see you in Paris!

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NeurIPS Conference @neuripsconf.bsky.social · 10/09/2026

Today, we will send a preference form to all NeurIPS authors. Please discuss your preferences with your co-authors and submit the form by September 30, 2026. If your paper is accepted, your presenter and location preferences will help us allocate papers fairly across our three conference locations.

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Emily M. Bender @emilymbender.bsky.social · 07/09/2026

It seems like there's a new round of "stochastic parrots has been proven wrong" discourse going on, so I'm going to re-up this: medium.com/@emilymenonb... >>

medium.com

Stochastic Parrots 🦜: Frequently Unasked Questions

It’s been a bit over five years since the Stochastic Parrots paper (Bender, Gebru et al 2021) was published (and somewhat longer since…

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NeurIPS Europe @neuripseurope.bsky.social · 28/08/2026

The first call for NeurIPS Paris 2026 volunteers is open! We are seeking for PhD students and postdocs to assit during the conference in exchange for complimentary registration. Application form: forms.gle/HGDUzS7y7yvq... 1st call deadline: September 10th

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Rémi Flamary @rflamary.bsky.social · 20/08/2026

I will be using this Figure at the begining of my courses and insist that I'm back to paper exam this year. It shows the scores of AI using student for homework increased but decreased for exam. papers.ssrn.com/sol3/papers....

AI adoption raises homework scores by 18% and reduces completion time by 30%, but lowers monthly exam scores by 20% within six months.

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NeurIPS Europe @neuripseurope.bsky.social · 18/08/2026

We are happy to announce that 28 workshops have been accepted for the Paris event, as part of the 102 accepted NeurIPS workshops: blog.neurips.cc/2026/08/10/a... They will take place on Sat Dec 12 + Sun Dec 13, 2026 (for Paris) The suggested deadline for Workshop submissions is close (Aug 29th)!

blog.neurips.cc

Announcing the NeurIPS 2026 Workshops – NeurIPS Blog

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Rémi Flamary @rflamary.bsky.social · 07/08/2026

This is a magnificent collection of visual pedagogy. Will definitely steal (and cite) some ideas for my slides. Strongly recommended especially to the ones that don't follow @gabrielpeyre.bsky.social on social media.

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Nicolas Audebert @nshaud.bsky.social · 03/08/2026

I'm burnt out of discussing "AI". I don't care for the press releases from big companies. I hate having to comment immediately. I dislike "hot takes". I'm worried we, as scientists, are losing touch with scientific values. We've become customers, salivating at ads marketed to investors. 1/15

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aboisbunon.bsky.social @aboisbunon.bsky.social · 04/08/2026

I'm happy to announce the #NeurIPS2026 workshop TS-LIMITS (Generalization for Time Series in Tight Settings: Latency, Inference, Memory, prIvacy and susTainability), which will be hosted in Paris, France 🇫🇷, Dec 12–13 2026! 🔗 Check out details and call for papers: ts-limits.github.io

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Rémi Flamary @rflamary.bsky.social · 03/08/2026

Back to paper exam for my machine learning course next year (thanks LLMs for ruining lab reports BTW). But at least I'm having fun designing ML "skill" questions. My neighbors can probably hear "wicked witch of the west" cackling this morning.

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Clément Bonet @clement-bonet.bsky.social · 21/07/2026

Excited to announce that our workshop "Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning" has been accepted at #NeurIPS2026 in Paris. ⏰Deadline: Aug 29, AoE 🔗Website with more informations: gddl-neurips-2026.github.io

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Popolitique @popolitique.bsky.social · 16/07/2026

Jean-Edouard avait un sens des priorités plus développé que celui du bas peuple Ma première BD, les fables bucoliques autogérées, est sortie ! 🦊 A retrouver dans votre librairie indé préférée (lien de commande en bio ou sur www.placedeslibraires.fr/livre/978241...)

Un homme observe un Canadair jeter de l’eau sur un feu de forêt
L’homme : « quelle catastrophe… »
L’homme : « toute cette eau qui ne servira jamais à alimenter l’ia… »
Narrateur : depuis sa villa de fontainebleau, Jean-Edourd vivait une véritable techno-anxiété »

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Gabriel Peyré @gabrielpeyre.bsky.social · 08/07/2026

A new (?) concept: the interactiv logo: www.gpeyre.com/ot4ml/

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David Picard @davidpicard.eurosky.social · 07/07/2026

Une rupture d'égalité devant la loi qui n'a pas sa place dans un état de droit...

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Rémi Flamary @rflamary.bsky.social · 07/07/2026

We just released POT 0.9.7 with many new OT solvers including lazy and sparse exact solvers, HD Gaussians, sliced OT plans, Spectral-Grassmann OT, batch exact OT with Proximal point, BSP-OT, unbalanced 1D and semidiscrete. This is a big one! Thanks to all contributors! github.com/PythonOT/POT...

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Sonia Mazelet @soniamazelet.bsky.social · 05/07/2026

I’ll be at ICML presenting our paper! Come say hi and check out our poster on Thursday 9th (Hall A, poster #3710). Huge thanks to @simonroschmann.bsky.social @paulkrz.bsky.social, @qbouniot.bsky.social and @zeynepakata.bsky.social for this great collaboration !

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Dr Michele V @micheleveldsman.bsky.social · 25/06/2026

“I have done all of the things that one is supposed to do to earn a tenure-track position. And I have done approximately 85% of them by typing prompts into a large language model and then moderately editing the output.” 🤣🤣🤣 brilliant 👌🏽 open.substack.com/pub/inprepar...

open.substack.com

Opinion: I Was Not Allowed To Type Prompts Into ChatGPT During My Chalk Talk And This Is Discrimination

By Dr. Rachel Simmons, Postdoctoral Fellow, Stanford University

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Rémi Flamary @rflamary.bsky.social · 24/06/2026

Meteo france has an over-fitting problem (or a bug)

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Christian Wolf @chriswolfvision.bsky.social · 24/06/2026

Yes. But I fear the train has left the station, there is nothing we can do. Not using LLMs is too big of a disadvantage. 1/2

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Rémi Flamary @rflamary.bsky.social · 24/06/2026

As scientists we should remember that when we talk science with an AI model we teach private companies how to do science and not a new generation of scientists that will contribute to society. Time spent doing faster research with AI agents is not spent mentoring students. Better CV but worth it?

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Manuel Mendoza @longchrom.bsky.social · 22/06/2026

This article in Le Monde about French research in general and the CNRS in particular has a few depressing graphs www.lemonde.fr/sciences/art...

The graph highlights a growing divergence between Germany and France:

* In the mid-1990s, France and Germany spent similar shares of GDP on R&D.
* Germany subsequently increased its R&D investment by about 1 percentage point of GDP.
* France’s R&D effort remained largely stagnant.
* By 2023, Germany spends 3.15% of GDP on R&D compared with 2.18% in France, a gap of nearly 1 percentage point of GDP.
* France is also well below the OECD average (2.93%).

The figure therefore illustrates that France has fallen behind both Germany and the OECD average in R&D intensity over the past three decades.

Sources listed on the graphic: OECD database, UNESCO, ANR, ERC; infographic by Le Monde.

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Gilles Louppe @glouppe.bsky.social · 22/06/2026

Can compute alone replace strong and original research ideas? No luck so far on my side

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Théo Gnassounou @tgnassou.bsky.social · 17/06/2026

🚀 Excited to announce the release of skada v0.6.0! This new release brings important additions to the library and continued work to keep the ecosystem compatible with Sklearn!

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Rémi Flamary @rflamary.bsky.social · 17/06/2026

Congratulations to @tgnassou.bsky.social for the SSFAM PhD prize. Théo has done both very good (I might be biased) ML research but also contributed a lot to the open source community with SKADA, skada-bench and contributions to POT. Plus for potential recruiters it's a pleasure to work with him

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Théo Gnassounou @tgnassou.bsky.social · 17/06/2026

I'm thrilled to have been awarded the thesis prize by the SSFAM 🥳 Thank you to the jury for the recognition you've given me 🙏 A big thanks to @rflamary.bsky.social and Alex to supporting me in this PhD! I'm looking forward to present my work at CAp 2026 in Montpellier, see you there :)

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Gabriel Peyré @gabrielpeyre.bsky.social · 16/06/2026

It would not have been possible withou POT, big thanks to the team pythonot.github.io

pythonot.github.io

POT: Python Optimal Transport — POT Python Optimal Transport 0.9.6 documentation

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Rémi Flamary @rflamary.bsky.social · 16/06/2026

@gabrielpeyre.bsky.social has written a book that will (again) have a huge impact on the field of OT for ML. Strongly recommended!

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Gabriel Peyré @gabrielpeyre.bsky.social · 16/06/2026

The alpha version of my new book "Optimal Transport for Machine Learners" is out, with in particular an online version with interactive figures www.gpeyre.com/ot4ml/

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Rémi Flamary @rflamary.bsky.social · 08/06/2026

Yep I'm been playing with the BSP-OT solver and it is quite fast. The following interpolation is done on 300k samples and only takes a few seconds (but can only find permutations). Generating the GIF/animation is slower than solving the problem.

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ELLIS @ellis.eu · 20/05/2026

NeurIPS 2026 Call for Workshop Proposals is still open! For the first time, NeurIPS includes a European venue — Paris 🇫🇷, co-organised by several ELLIS Members. 📅 Deadline: June 6 👉 neurips.cc/Conferences/2026/CallFor… @neuripseurope.bsky.social

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Vicky Kalogeiton @vickykalogeiton.bsky.social · 15/05/2026

So honored and humbled to have won this award! Thanks David ☺️

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Rémi Flamary @rflamary.bsky.social · 15/05/2026

Open call for a 1+ year PostDoc Fellowship at Institut Polytechnique de Paris financed by the Hi! Paris AI center. You can choose until June 5th your own research project and just need a support letter of a mentor at IP Paris. hi-paris.fr/wp-content/u...

hi-paris.fr

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Bruno Levy @brunolevy01.bsky.social · 13/05/2026

The effect on the presenters after 3h of presentation.

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CNRS Mathématiques @cnrs-insmi.bsky.social · 12/05/2026

Anna Korba reçoit la médaille de bronze du @cnrs.fr pour ses travaux à l’interface entre mathématiques, statistiques et intelligence artificielle 🥉 Découvrez son portrait 👉 www.insmi.cnrs.fr/fr/cnrsinfo/... #TalentsCNRS

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ELLIS @ellis.eu · 12/05/2026

🎓 Doing a PhD in AI but unsure how to navigate your future career options? Join #ELIAS for Diverse Career Trajectories within Sustainable AI and AI for Sustainability. Speaker: Laetitia Chapel (IRISA 🇫🇷) 📍 Virtual Webinar 📅 20 May 🕒 15:00 - 16:30 CET 🔗 Register now at bit.ly/3P9CIuh

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Skro @skrozoc.eurosky.social · 07/05/2026

Surtout que c'est quand même risqué: www.youtube.com/watch?v=TfX0...

youtube.com

Chantal : Oublier le Cantal, c'est fatal !

YouTube video by Fabien Miedzianowski

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Rémi Flamary @rflamary.bsky.social · 07/05/2026

On est super content mais on a questions à la maison. Ou on le met et comment @bouletcorp.bsky.social a pu oublier le cantal.

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Rémi Flamary @rflamary.bsky.social · 24/04/2026

Thibaut Germain and Karim Lounici will present today at ICLR Poster Session 3 Pavilion 3 our paper introducing the Spectral-Grassmann OT that is a proper distance between linear operators dynamical systems (Koopman) seen as distributions. It can notably be used to compute barycenters of systems.

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Rémi Flamary @rflamary.bsky.social · 24/04/2026

@tgnassou.bsky.social will present PSDnorm today at ICLR Poster Session 3 Pavilion 3. He proposed a novel layer that normalizes (using Gaussian Optimal Transport) the temporal correlation to bring more robustness to EEG signal Sleep Stage classifications. tgnassou.github.io/PSDNorm_webp...

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Hadas Weiss @hadas.bsky.social · 18/04/2026

my self-discipline when there’s cake

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David Picard @davidpicard.eurosky.social · 19/04/2026

Huge congrats @vickykalogeiton.bsky.social for being awarded the médaille de bronze in Computer Science!👏🥳🎉🍾 Very well deserved for all the hard work and fantastic ideas! www.ins2i.cnrs.fr/fr/talents/c... @cnrsinformatics.bsky.social @ipparis.bsky.social @ecolepolytechnique.bsky.social

ins2i.cnrs.fr

Talents | CNRS Sciences informatiques

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David Picard @davidpicard.eurosky.social · 08/04/2026

🚨 arxiv.org/abs/2604.06129 PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer This paper is the result of doing a lab-wide hackathon on an idea I've had for some time. Probably the paper with the highest number of authors I've ever done. It's a CVPR Findings 26. Thread 🧵👇

arxiv.org

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates input tokens into a comp...

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Grace @gracekind.net · 05/04/2026

Richard Sutton talks about this

Instead of following a more complicated recipe, you can just add butter and it will taste good
The butter lesson

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Paul Graf @paulginva.bsky.social · 18/02/2026

Writing forces your brain to coordinate memory, reasoning, and meaning-making simultaneously. Every time you write, you rewire toward clearer thinking. Every time you let an LLM do it, you rewire toward consumption.

This editorial discusses the critical value of human-generated scientific writing in the era of large language models (LLMs), arguing that writing is essential to structured thinking and research comprehension.
Writing as Thinking: The act of writing structure's thoughts, sorting research data, and identifying the main message, unlike LLMs which may lack true understanding or accountability.
LLM Hallucinations: LLM-generated text requires rigorous verification because these models can produce incorrect information or fake references.
Human vs. AI Roles: While LLMs are useful tools for brainstorming, improving grammar, or overcoming writer's block, human researchers must maintain control to engage in the creative task of shaping a compelling narrative.

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