Steve Azzolin
@steveazzolin
ELLIS PhD student @ UNITN/UniCambridge || Prev. Visiting Research Student at UniCambridge || Prev. Research intern at SISLab
🚨 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/1FAI… 🏠LoG website: logconference.org
Ready to present your latest work? The Call for Papers for #UniReps2025 @NeurIPSConf is open! 👉Check the CFP: unireps.org/2025/call-for-… 🔗 Submit your Full Paper or Extended Abstract here: openreview.net/group?id=NeurI… Speakers and panelists: @d_j_sutherland @elmelis @KriegeskorteLab…
🚨 Calling all ML & AI companies! The LOG 2025 sponsor page is now live: logconference.org/sponsors/ LOG is the go-to venue for graph ML, reasoning & systems research. We're inviting sponsors to support this fast-growing community & gain visibility. #LOG2025 #GraphML #MachineLearning
Big news: The first in-person event is coming 👀
We’re thrilled to share that the first in-person LoG conference is officially happening December 10–12, 2025 at Arizona State University logconference.org Important Deadlines: Abstract: Aug 22 Submission: Aug 29 Reviews: Sept 3–27 Rebuttal: Oct 1–15 Notifications: Oct 20
This is an issue on multiple levels, and authors using those "shortcuts"👀 are equally responsible for this unethical behaviour
to clarify -- I didn't mean to shame the authors of these papers; the real issue is AI reviewers, what we see here is just the authors trying to defend against that in some way (the proper way would be identifying poor reviews and asking the AC or meta-reviewer to discard them)
Happening tomorrow! Saturday 10-12:30 am Poster # 508
📣 New paper on #XAI for #GNNs: 👉 Can you trust your GNN explanations? 👉 How can you measure #faithfulness properly? 👉 Are all estimators the same? 👉 What's the link with #OOD generalization? We look at these questions and more in Steve's latest #ICLR paper! Have a look!
In LoCo-LMs, we propose a neuro-symbolic loss function to fine-tune a LM to acquire logically consistent knowledge from a domain graph, i.e. wrt. to a set of logical consistency rules. @looselycorrect @tetraduzione arxiv.org/abs/2409.13724
Exciting news! Our LoG meetup in the South Hemisphere & Latin America is happening on May 10-11. Discover more details & register at data.icmc.usp.br/events/log. For info: [email protected] / [email protected] #LoGMeetup #DataEvents #LatinAmerica
Kudos to the organisers for setting up the poster session in the fanciest room I've ever seen👀
Wonderful location for the Siena #LoG meetup's poster session🤩 Thanks to the organisers @cate_graz @LachiVeronica @Sara_Marziali @PietroBongini et al. (sites.google.com/student.unisi.…)