Emile will present our work on Knowledge Graph Embeddings at Eurips' Salon des Refusés on Friday! We show how linearity prevent KGEs from scaling to larger graphs + propose a simple solution using a Mixture of Softmaxes (see LLM literature) to break the limitations at a low parameter cost. 🔨

Emile van Krieken@emilevankrieken.com · 10mo ago

And finally #3 🔨 Rank bottlenecks in KGEs: At Friday's "Salon des Refuses" I will present @sbadredd.bsky.social 's new work on how rank bottlenecks limit knowledge graph embeddings arxiv.org/abs/2506.22271

Almost off to @euripsconf.bsky.social in Copenhagen 🇩🇰 🇪🇺! I'll present 3 posters: 🧠 Neurosymbolic Diffusion Models: Thursday's poster session. Going to NeurIPS? @edoardo-ponti.bsky.social and @nolovedeeplearning.bsky.social will present the paper in San Diego Thu 13:00 arxiv.org/abs/2505.13138

We're glad to announce the NeSy 2025 Test of Time award for "Probabilistic Inference Modulo Theories"! 🏆Rodrigo de Salvo Braz was here to accept the award. This is groundwork for recent NeSy approaches like DeepSeaProbLog and the probabilistic algebraic layer.

🎉 Check out our IJCAI'25 paper on Explainable link prediction in KGs 🔗✨ We use a path-based RL model to generate explanations for predictions. We do so by rewarding path properties that make good explanations 〰️ Great work led by Susana Nunes & @catiapesquita.bsky.social 👏 👉 arxiv.org/pdf/2509.02276

☀️ I will be in Edinburgh this summer (Jun-Aug) at @edinburgh-uni.bsky.social, visiting the group of Antonio Vergari (@nolovedeeplearning.bsky.social) to work on #neurosymbolic #AI and #probabilistic #ML If you are around and want to chat about these topics, let's meet for coffee!

We propose Neurosymbolic Diffusion Models! We find diffusion is especially compelling for neurosymbolic approaches, combining powerful multimodal understanding with symbolic reasoning 🚀 Read more 👇

🗓️ Deadline extended: 💥2nd June 2025!💥 We are looking forward to your works on: 🔌 #circuits and #tensor #networks 🕸️ ⏳ normalizing #flows 💨 ⚖️ scaling #NeSy #AI 🦕 🚅 fast and #reliable inference 🔍 ...& more! please share 🙏

antonio vergari ⚔️ short-circuiting@nolovedeeplearning.bsky.social · last yr.

the #TPM ⚡Tractable Probabilistic Modeling ⚡Workshop is back at @auai.org #UAI2025! Submit your works on: - fast and #reliable inference - #circuits and #tensor #networks - normalizing #flows - scaling #NeSy #AI ...& more! 🕓 deadline: 23/05/25 👉 tractable-probabilistic-modeling.github.io/tpm2025/

🔔 Are you working on informed-ML, Neuro-symbolic AI or ML verification? 🙌 Our special track on the Journal of Artificial Intelligence Research (JAIR) about "Integration of Logical Constraints in Deep Learning" is the right venue for you! 🙌 CfP: www.jair.org/index.php/ja... Deadline: May 31, 2025