David R. Wessels
@dafidofff.bsky.social
PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai
github.com/Dafidofff
github.com/Dafidofff
Reposted by David R. Wessels
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
🧵1/5
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
🧵1/5
February 19, 2025 at 3:13 PM
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
🧵1/5
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
🧵1/5
Reposted by David R. Wessels
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 ☺️
It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
January 7, 2025 at 10:25 PM
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 ☺️
It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
Reposted by David R. Wessels
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!
🧵1 / 12
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
December 9, 2024 at 1:24 PM
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!
🧵1 / 12
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
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!!
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!!
December 6, 2024 at 4:53 AM
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!!
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!!
Reposted by David R. Wessels
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! 💥
The keynote was by @canaesseth.bsky.social , who talked about "Diffusion, Flows and other stories", presenting his 5 papers accepted at NeurIPS! 💥
November 29, 2024 at 1:38 PM
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! 💥
The keynote was by @canaesseth.bsky.social , who talked about "Diffusion, Flows and other stories", presenting his 5 papers accepted at NeurIPS! 💥
Reposted by David R. Wessels
🚨 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! :)
⏰ 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! :)
Soon, @erikjbekkers.bsky.social and @davidmknigge.bsky.social will give a talk elaborating even further on geometry-grounded representation learning in a NeurReps seminar. Make sure to mark the date! :)
⏰ November 21st, 4 PM CET
🔗 www.neurreps.org/speaker-seri...
⏰ November 21st, 4 PM CET
🔗 www.neurreps.org/speaker-seri...
November 21, 2024 at 9:07 AM
🚨 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! :)
⏰ 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! :)