Variational Flow Matching goes Riemannian! 🔮
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
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Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔
It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
If you are attending #NeurIPS2024🇨🇦, make sure to check out AMLab's 11 accepted papers ...and to have a chat with our members there! 👩🔬🍻☕
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
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Now still RV'ing w/ @davidmknigge.bsky.social around Vancouver Island, but looking forward to Neurips2024!
We will present our work on solving PDEs with space-time continuous representations using Equivariant Neural Fields (ENF) 🏄♀️🌊
Would love to meet and chat if interested!!
Yesterday @ellisamsterdam.bsky.social hosted the yearly NeurIPS-Fest, a pre-party for NeurIPS with a keynote talk, poster session, drinks and bites! 🍺🍻
The keynote was by @canaesseth.bsky.social , who talked about "Diffusion, Flows and other stories", presenting his 5 papers accepted at NeurIPS! 💥
🚨 Happening today! 🚨
⏰ 4 PM CET / 10 AM EST
👩💻 Zoom link is in the link below
🏢 You can attend in person in L3.36, Science Park, University of Amsterdam
Join us for this exciting talk! :)
