Teo Reu
@TeoReu
2nd-year DPhil at Oxford University. Generative Modeling.
[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 @jmhernandez233 @YuanqiD, Francisco Vargas
We are looking for three AI Research Engineers and Scientists to join us in our London office at @SilurianAI 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…
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, @ismaililkanc, @mmbronstein, @michael_galkin, @JuanLReutter, @OrthMiguel
We're presenting MFM right now! Come check it out in East Ballroom poster # 2411 🩷🩷🩷 @TeoReu @bose_joey @AlexanderTong7 @mmbronstein @Francesco_dgv
At #NeurIPS and interested in Flow Matching? Come and find us on Thursday presenting MFM - a generalization of FM with probability paths supported on the data manifold 🗺️ Poster: #2411 East Exhibit Hall A-C ⏲️Thu 12 Dec 11 am-2pm neurips.cc/virtual/2024/p… Reach out to chat!
Met legend at #NeurIPS2024! Come at poster 2411! East Ballroom! @bose_joey
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. @LogConference
I am happy to announce that our paper called Metric Flow Match (MFM) has been accepted to @NeurIPSConf #neurips2024 🔥🔥🔥 I am grateful to all my collaborators and see u in Vancouver! ⛰️ @TeoReu @AlexanderTong7 @mmbronstein @bose_joey @Francesco_dgv
If data lives on a manifold, how do we design meaningful interpolations between marginals? We present Metric Flow Matching (MFM)… @PPotaptchik @TeoReu @leoeleoleo1 @AlexanderTong7 @mmbronstein @bose_joey @Francesco_dgv 🔗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!
If data lives on a manifold, how do we design meaningful interpolations between marginals? We present Metric Flow Matching (MFM)… @PPotaptchik @TeoReu @leoeleoleo1 @AlexanderTong7 @mmbronstein @bose_joey @Francesco_dgv 🔗Dive in here: arxiv.org/abs/2405.14780 🧵 (1/12)
Strongly recommended: Emily’s first paper during her PhD. Emily is not on X but she will be in Vienna for #ICML2024!
It’s All About That Homomorphism Basis in our recently accepted #ICML2024 paper: arxiv.org/abs/2402.08595… w/ Emily Jin, @ismaililkanc, and @mat_lanzinger (1/3)
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, @ismaililkanc, and Pablo Barceló, will be presented in #NeurIPS 2023. Arxiv link: arxiv.org/pdf/2302.02209… (1/2)🧵