Adrian Arnaiz
Postdoc at @ellisalicante.org
🎓 PhD in CS at @ellis.eu Alicante
⚖️ Algorithmic Fairness and Trustworthy AI
🕸️ Graph Neural Networks
🌐 adrian-arnaiz.netlify.app
- Reposted by Adrian Arnaiz💡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...
- 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!
- The thesis document is available here 📖 ellisalicante.org/publications...
- Reposted by Adrian Arnaiz📢 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:
- Reposted by Adrian ArnaizLadies and gentlemen, the generative AI industry:
- Reposted by Adrian ArnaizNo 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 👇🏼
- Reposted by Adrian ArnaizThe 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
- Reposted by Adrian ArnaizA 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...
- Reposted by Adrian ArnaizNeeding 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?
- 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...
- 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 😅
- @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
- Reposted by Adrian Arnaiz@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
- Reposted by Adrian ArnaizAdrian 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
- Reposted by Adrian ArnaizAfter 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.
- Reposted by Adrian ArnaizI'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.
- Reposted by Adrian ArnaizHave 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...
- If you are interested in contributing to the Graph Learning community, joining the LoG organising team is a great way to do it! 🧠🕸️
- 🚨 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
- Reposted by Adrian Arnaiz🚨 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
- Reposted by Adrian ArnaizWant to know about the current understanding of the generalization abilities of GNNs? Please have a look at our survey paper arxiv.org/abs/2503.15650. Joint work with Antonis Vasileiou, Stefanie Jegelka, and Ron Levie.
- Reposted by Adrian ArnaizOur 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...
- Reposted by Adrian ArnaizWe welcome continued feedback and discussion as we head into the final stages of drafting.
- Reposted by Adrian Arnaiz🌟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
- Reposted by Adrian Arnaiz"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/...
- Reposted by Adrian Arnaiz12 mandatory free-text input fields in the review form for ICML? Really?
- Reposted by Adrian ArnaizI 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/
- Reposted by Adrian ArnaizGLOW 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...
- Reposted by Adrian ArnaizAnd 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 🚀
- Reposted by Adrian ArnaizWhile 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
- Reposted by Adrian ArnaizToday, 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
- Reposted by Adrian Arnaiz📣 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...
- Reposted by Adrian Arnaiz[This post could not be retrieved]
- Reposted by Adrian ArnaizImpressed 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
- Reposted by Adrian ArnaizAre conformal prediction sets always optimal for helping humans solve classification tasks? Not always! In our #NeurIPS paper, we show how finding optimal sets is Np-hard, and we offer a (greedy) solution! 📜arxiv.org/pdf/2405.17544 🪧Join us on Wed 11 (11-2 PM, East Exh. Hall)!
- Reposted by Adrian ArnaizOpenAI and tech bros, take notes (this slide is worth the intercontinental trip to #NeurIPS24)
- Reposted by Adrian Arnaizhow 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
- Reposted by Adrian ArnaizThe 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.
- Reposted by Adrian ArnaizGood 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
- Reposted by Adrian ArnaizVery 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!
- Reposted by Adrian ArnaizA 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! 💙
- Reposted by Adrian Arnaiz🎤 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...
- Reposted by Adrian ArnaizAnyone 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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- Reposted by Adrian ArnaizUnfair 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/
- Do not forget that @logconference.bsky.social is happening this week! 🚀🕸
- ✨EXCITING NEWS! We now have a Bluesky account!! AND registration for the 3rd Learning on Graphs conference is open 😊 It is virtual, free to attend, livestreamed, and recorded 📹 Sign up today! The conference is this coming week 😱 forms.gle/eYiDCopJGUc8...
- Reposted by Adrian ArnaizPet 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
