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Adrian Arnaiz

@adri-arnaiz.bsky.social
317 followers 249 following 18 posts

Postdoc at @ellisalicante.org 🎓 PhD in CS at @ellis.eu Alicante ⚖️ Algorithmic Fairness and Trustworthy AI 🕸️ Graph Neural Networks 🌐 adrianarnaiz.me

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Reposted by Adrian Arnaiz
logconference.bsky.social @logconference.bsky.social · 17/06/2026
📢 Call for Reviewers – LoG 2026 Help shape the next edition of LoG by reviewing submissions at the intersection of graphs, machine learning, and real-world applications. Top reviewers will receive monetary rewards. 🔗 logconference.org/call-for-rev... #LoG2026
logconference.org
Learning on Graphs Conference
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logconference.bsky.social @logconference.bsky.social · 17/06/2026
📢 Call for Tutorials – LoG 2026 Tutorial proposals are now open for LoG 2026 Submit your proposal and help shape this year’s tutorial program! 🔗 logconference.org/call-for-tut... 📅 Key dates (AoE): • Sept 4 – Proposal deadline • Sept 14 – Notification #LoG2026 #LearningOnGraphs
logconference.org
Learning on Graphs Conference
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Reposted by Adrian Arnaiz
logconference.bsky.social @logconference.bsky.social · 17/06/2026
📢 Call for Papers – LoG 2026 Paper submissions are now open for LoG 2026! Submit your work on any areas broadly related to learning on graphs and geometry 🔗 logconference.org/cfp/ 📅 Key dates (AoE): • July 29 – Abstract deadline • Aug 1 – Full paper deadline #LoG2026
logconference.org
Learning on Graphs Conference
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Adrian Arnaiz @adri-arnaiz.bsky.social · 22/04/2026
Accepted paper at #ICLR2026 🌟 🧩 w/ @federico-errica.bsky.social, we revisit some repeated claims in graph ML and show that usual statements about oversmoothing, oversquashing, heterophily, and long-range effects are not universally true. 🗓️ P3-#909, Fri 24, 10:30 AM (Rio time) Links below⬇️
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ChaTo @chatox.bsky.social · 18/02/2026
Acerca de la propuesta en España de prohibir el acceso a medios sociales a menores de edad chato.cl/life/es/lo-q...
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EU DisinfoLab @disinfo.eu · 09/12/2025
💡𝐀𝐫𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐜𝐮𝐫𝐛𝐢𝐧𝐠 𝐝𝐢𝐬𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧? Join us on Thursday, 11 December (14:30 CET) as we present the findings of the SIMODS study, a 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜, 𝐜𝐫𝐨𝐬𝐬-𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐞𝐯𝐢𝐝𝐞𝐧𝐜𝐞 on how six VLOPs are performing against disinfo. 🗣️ Emmanuel Vincent, from Science Feedback 🔗 us06web.zoom.us/webinar/regi...
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Adrian Arnaiz @adri-arnaiz.bsky.social · 07/10/2025
I've defended my PhD 🎓🙂 Huge thanks to @nuriaoliver.com for her guidance over these years and to the committee @ccattuto.bsky.social , Isabel Valera, and G. González Serrano for their time, insights, and an inspiring discussion 🙏 Excited for what's coming next!
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CDT Europe @cdteu.org · 30/09/2025
📢 The latest EU Tech Policy Brief is here! In this edition: ⚖️ Joint letter to EU Commission & MSs on the #AIAct ’s implementation 👁️ Danish Presidency’s proposal on EU #CSAR raising concerns on #encryption 💬 Our response to the Gender Equality Strategy’s consultation 👇 More about EU tech policy:
cdt.org
EU Tech Policy Brief: September 2025
Welcome back to the Centre for Democracy & Technology Europe‘s Tech Policy Brief! This edition covers the most pressing technology and internet policy issues under debate in Europe and gives CDT’s per...
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Luiza Jarovsky, PhD @luizajarovsky.bsky.social · 07/09/2025
Ladies and gentlemen, the generative AI industry:
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Aída Ponce Del Castillo @aidaponcedelcastillo.com · 09/07/2025
No to simplification of EU digital laws Weakening the AI Act would undermine accountability, the protection of society and workers and bring legal uncertainty I have co-signed the letter led by @cdteu.bsky.social 👇🏼
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Yoshua Bengio @yoshuabengio.bsky.social · 10/07/2025
The Code of Practice is out. I co-wrote the Safety & Security Chapter, which is an implementation tool to help frontier AI companies comply with the EU AI Act in a lean but effective way. I am proud of the result! 1/3
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João Vinagre @jvinagre.eurosky.social · 02/07/2025
A huge milestone was achieved today in the EU towards our common understanding of risks in the online world. If you are a researcher interested in studying societal risks related to very large online platforms and search engines, this is for you! #DSA digital-strategy.ec.europa.eu/en/news/comm...
digital-strategy.ec.europa.eu
Commission adopts delegated act on data access under the Digital Services Act
The delegated act on data access under the Digital Services Act enables researchers to obtain unprecedented access to platforms’ internal data to contribute to a safer online world.
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Reposted by Adrian Arnaiz
Chaitanya K. Joshi @chaitjo.bsky.social · 30/06/2025
Needing a permanent doi was a forcing function to revisit this article on Transformers and Graph Neural Networks: arxiv.org/abs/2506.22084 This is (very) old news, so what's new?
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Adrian Arnaiz @adri-arnaiz.bsky.social · 27/06/2025
Had a great time presenting our work at @icwsm.bsky.social on measuring and mitigating structural social capital disparities in social networks 🕸️ Really appreciated the thoughtful feedback and the chance to connect with such an amazing community! 📄 Read the paper: ojs.aaai.org/index.php/IC...
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Adrian Arnaiz @adri-arnaiz.bsky.social · 11/06/2025
This paper reflects my and @federico-errica.bsky.social's thoughts on some current GNNs issues (like OSM/OSQ) after spending some time working on them. We also tried to capture concerns that we've seen echoed by parts of the community. P.S. I thought I had all these issues figured out too 😅
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Federico Errica @federico-errica.bsky.social · 03/06/2025
@neuripsconf.bsky.social what is going on... We were desk-rejected from NeurIPS for dubious reasons, but that is not going to stop us 🌶️ arxiv.org/abs/2505.15547
arxiv.org
Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
After a renaissance phase in which researchers revisited the message-passing paradigm through the lens of deep learning, the graph machine learning community shifted its attention towards a deeper and...
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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 22/05/2025
Adrian Arnaiz-Rodriguez, Federico Errica: Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning arxiv.org/abs/2505.15547 arxiv.org/pdf/2505.15547 arxiv.org/html/2505.15547
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Max Thiessen @maxthiessen.bsky.social · 25/05/2025
After a break in April we welcome all of you to the next session of GLOW🌟 next week! Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs). 🗓️ May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.
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Angelina Wang @ COLM @angelinawang.bsky.social · 17/03/2025
I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.
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Adrián Javaloy @javaloyml.bsky.social · 13/02/2025
Have you ever been curious to try Causal Normalizing Flows for your project but found them intimidating? Say no more 😜 I just released a small library to easily implement and use causal-flows: github.com/adrianjav/ca...
github.com
GitHub - adrianjav/causal-flows: CausalFlows: A library for Causal Normalizing Flows in Pytorch
CausalFlows: A library for Causal Normalizing Flows in Pytorch - adrianjav/causal-flows
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Adrian Arnaiz @adri-arnaiz.bsky.social · 02/04/2025
If you are interested in contributing to the Graph Learning community, joining the LoG organising team is a great way to do it! 🧠🕸️
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Reposted by Adrian Arnaiz
logconference.bsky.social @logconference.bsky.social · 02/04/2025
🚨 We’re recruiting organizers for LoG 2025! Join us in shaping the next Learning on Graphs conference at UCLA this fall. Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍 📋 Form: docs.google.com/forms/d/e/1F... 🏠LoG website: logconference.org
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LinkedIn
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Gergely D. Németh @negedng.bsky.social · 11/03/2025
Our work, "Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning" (w\ Miguel Angel Lozano, Novi Quadrianto, and @nuriaoliver.com ) is now published at @ieeeaccess.bsky.social: ieeexplore.ieee.org/document/109...
ieeexplore.ieee.org
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
Federated Learning (FL) has been proposed as a privacy-preserving solution for distributed machine learning, particularly in heterogeneous FL settings where clients have varying computational capabili...
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Yoshua Bengio @yoshuabengio.bsky.social · 11/03/2025
We welcome continued feedback and discussion as we head into the final stages of drafting.
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LOGML Summer School @logml.bsky.social · 11/03/2025
🌟Applications open- LOGML 2025🌟 👥Mentor-led projects, expert talks, tutorials, socials, and a networking night ✍️Application form: logml.ai 🔬Projects: www.logml.ai/projects.html 📅Apply by 6th April 2025 ✉️Questions? logml.committee@gmail.com #MachineLearning #SummerSchool #LOGML #Geometry
logml.ai
LOGML 2025
London Geometry and Machine Learning Summer School, July 7-11 2025
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Luca Maria Aiello @lajello.bsky.social · 05/03/2025
"Urban Highways Are Barriers to Social Ties" out on PNAS! The 1st large-scale measure of how highways weaken social connections between the communities they separate. This barrier effect is strong in the 50 largest US cities--especially for low-income Black communities. www.pnas.org/doi/10.1073/...
Stylized map of Detroit (MI) showing the highway network, and the network of social connections between urban residents. The connections intersecting highways are sparser than elsewehere. Image credit Karo Berghuber (Insta: @kariot.lines)
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Stefan Neumann @neumannstefan.com · 04/03/2025
12 mandatory free-text input fields in the review form for ICML? Really?
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Stefan Neumann @neumannstefan.com · 29/01/2025
I am hiring for a Ph.D. student to work in the areas of social network analysis, algorithms and fair machine learning. Please apply and join our highly motivated team. For more information please see the call: neumannstefan.com/hiring/
neumannstefan.com
Call for Doctoral Students in Social Network Analysis, Algorithms and Fair Machine Learning
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Max Thiessen @maxthiessen.bsky.social · 17/02/2025
GLOW is back this Wednesday, Feb 19th, 5pm CET 🌟 Instead of talks, we’re hosting a casual discussion on where graph learning is headed and where early-career researchers can make the most impact. Join our open conversation with junior and senior graph researchers! sites.google.com/view/graph-l...
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Petar Veličković @petar-v.bsky.social · 11/02/2025
And so we set out to understand _feedforward_ graphs (i.e. graphs w/o back edges) ⏩ Turns out these graphs are rather understudied for how often they are used in practice! 😮 We work towards a framework to analyse them, which I hope both my GNN and my LLM friends will enjoy 🚀
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Yoshua Bengio @yoshuabengio.bsky.social · 11/02/2025
While the Summit was the scene of important discussions, notably about innovations in health & environment, these promises will only materialize if we address with realism the urgent question of the risks associated with the rapid development of frontier models. www.anthropic.com/news/paris-a... 1/2
anthropic.com
Statement from Dario Amodei on the Paris AI Action Summit
A call for greater focus and urgency
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Yoshua Bengio @yoshuabengio.bsky.social · 29/01/2025
Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Full Report: assets.publishing.service.gov.uk/media/679a0c... 1/21
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European Workshop on Algorithmic Fairness @ewafworkshop.bsky.social · 17/01/2025
📣 2nd Call for Papers EWAF invites (inter)disciplinary submissions (both full papers and extended abstracts) on algorithmic fairness! Conference dates: June 30 to July 2, 2025, in Eindhoven, The Netherlands! Submission deadline: March 13, 2025 Full call for papers: 2025.ewaf.org/submitting/c...
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Andreas Kirsch @blackhc.bsky.social · 07/01/2025
Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
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Nuria Oliver @nuriaoliver.com · 15/12/2024
Impressed and proud of the results of @ellisalicante.org in 2024, especially given that it is a new, small research lab on #AI4SocialGood May 2025 bring even more reasons to celebrate!! 🥳 @ellis.eu @adigulati.bsky.social @juliencolin.bsky.social @adri-arnaiz.bsky.social
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antonio vergari ⚔️ short-circuiting @nolovedeeplearning.bsky.social · 11/12/2024
OpenAI and tech bros, take notes (this slide is worth the intercontinental trip to #NeurIPS24)
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lea @leeps.bsky.social · 09/12/2024
how are you thinking about this in your orgs? have you implemented internal evaluations for fairness? where is it on the deployment priority list? #AIfairness #AIpolicy #AIevaluation #AIethics
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Nezihe Merve Gürel @nmervegurel.bsky.social · 03/12/2024
The list of accepted workshops for ICLR 2025 is available at openreview.net/group?id=ICL... @iclr-conf.bsky.social We received 120 wonderful proposals, with 40 selected as workshops.
openreview.net
ICLR 2025 Workshop Proposals
Welcome to the OpenReview homepage for ICLR 2025 Workshop Proposals
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Tiago Peixoto @tiago.skewed.de · 02/12/2024
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de graph-tool.skewed.de Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N #networkscience
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Manuel Gomez Rodriguez @autreche.bsky.social · 03/12/2024
Very excited and grateful to receive an ERC Consolidator grant #ERCCoG on Counterfactuals in Minds and Machines! Are you interested in a postdoc or Ph.D.? Please get in touch by email!
learning.mpi-sws.org
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Chaitanya K. Joshi @chaitjo.bsky.social · 02/12/2024
A big THANK YOU to each and every one of the participants, presenters, tutorials, and local organizers for making the third Learning on Graphs conference @logconference.bsky.social possible! 💙
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logconference.bsky.social @logconference.bsky.social · 29/11/2024
🎤 The keynote talk by Alden Hung (Isomorphic Labs) is starting now! 📍 Join us here: 👉 Zoom: ucla.zoom.us/j/9257308601... 👉 YouTube Live: www.youtube.com/watch?v=cWoF... 💬 Discuss on Slack: join.slack.com/t/logconfere...
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Guillaume Dalle @gdalle.bsky.social · 26/11/2024
Anyone else watching @logconference.bsky.social and nerding out on the review statistics? It seems that when you reward peer review adequately, you get positive outcomes! Who would have guessed 🤔
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Adrian Arnaiz @adri-arnaiz.bsky.social · 26/11/2024
👏👏👏👏
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Gaël Varoquaux @gaelvaroquaux.bsky.social · 24/11/2024
Unfair AI goes beyond data bias! An example in France: fraud detection on social benefits naturally ends up targeting poor people, as they benefit more from social benefits. www.laquadrature.net/caf-notation... Fraud detection on wealth tax would naturally target the rich 1/
laquadrature.net
CAF : Notation généralisée des allocataires
La CAF est la première administration a avoir développé un algorithme de notation généralisé de la population. Véritable outil dystopique chargé d'analyser nos comportements en quasi-temps réel à la r...
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Adrian Arnaiz @adri-arnaiz.bsky.social · 24/11/2024
Do not forget that @logconference.bsky.social is happening this week! 🚀🕸
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Gaël Varoquaux @gaelvaroquaux.bsky.social · 22/11/2024
Pet peeve: when people talk about "AI for science", they really mean physics, chemistry, and molecular biology. Health and social sciences are implicitly considered as non sciences, which is a problem in terms of implied values 1/2
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Nicolas Keriven @nicolaskeriven.bsky.social · 21/11/2024
I have several positions with my ERC grant MALAGA on the Theory of Graph Machine Learning 🤓 Consider applying! nkeriven.github.io/malaga/ (if you don't find the position for you but are interested in the topic anyway, contact me!)
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