🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

A cozy Oxford LoG meetup with guests from London and the Other Place

I am excited to announce that our latest work "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs", together with Miguel Romero, İsmail İlkan Ceylan, and Pablo Barceló, will be presented in #NeurIPS 2023. Arxiv link: arxiv.org/pdf/2302.02209… (1/2)🧵

Strongly recommended: Emily’s first paper during her PhD. Emily is not on X but she will be in Vienna for #ICML2024!

If data lives on a manifold, how do we design meaningful interpolations between marginals? We present Metric Flow Matching (MFM)… Peter Potaptchik Teo Reu Leo Zhang Alex Tong Michael Bronstein Joey Bose Francesco Di Giovanni 🔗Dive in here: arxiv.org/abs/2405.14780 🧵 (1/12)

🦕Proving Approximation Results with minimal assumptions in VP-SDE Diffusion. Explore how SDE choices impact sample quality and gain insights into Score Matching in Denoising Diffusion Models! 🦕 Link: arxiv.org/pdf/2305.09605… Presented at UAI2024!

I am happy to announce that our paper called Metric Flow Match (MFM) has been accepted to NeurIPS Conference #neurips2024 🔥🔥🔥 I am grateful to all my collaborators and see u in Vancouver! ⛰️ Teo Reu Alex Tong Michael Bronstein Joey Bose Francesco Di Giovanni

Michael Churchill Peter Potaptchik Teo Reu Leo Zhang Alex Tong Michael Bronstein Joey Bose Francesco Di Giovanni github.com/kksniak/metric…

We are happy to announce the Oxford LoG meet-up, LoG-Ox! The event is free to attend and will happen on November 25th. We plan to have keynote talks, lightning talks, posters and socials. More information and signup form is available here: log-ox.github.io. Learning on Graphs Conference 2024

We're presenting MFM right now! Come check it out in East Ballroom poster # 2411 🩷🩷🩷 Teo Reu Joey Bose Alex Tong Michael Bronstein Francesco Di Giovanni

Met legend at #NeurIPS2024! Come at poster 2411! East Ballroom! Joey Bose

Knowledge Graph Foundation Models (KGFMs) are at the frontier of graph learning - but we didn’t have a principled understanding of what we can (or can’t) do with them. Now we do! 💡🚀 🧵 with Pablo Barcelo, İsmail İlkan Ceylan, Michael Bronstein, Michael Galkin, Juan Reutter, Miguel

We are looking for three AI Research Engineers and Scientists to join us in our London office at Silurian AI to build physics foundation models for weather and energy. Apply below and feel free to reach out if you have any questions: ycombinator.com/companies/silu…

[1/9]🚀Excited to share our new work, RNE! A plug-and-play framework for everything about diffusion model density and control: density estimation, inference-time control & scaling, energy regularisation. More details👇 Joint work with Jose Miguel Hernández-Lobato Yuanqi Du, Francisco Vargas