Reposted by Artur Toshev
Happy to introduce 🔥LaM-SLidE🔥!
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
May 22, 2025 at 12:24 PM
Happy to introduce 🔥LaM-SLidE🔥!
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
Reposted by Artur Toshev
The Gaussian is a nice bumpy shape, but sometimes we hope for a smooth (i.e. C∞) function like the Gaussian that is 𝒂𝒍𝒔𝒐 compactly supported.
One such class of functions is called "Bump functions"
1/6
One such class of functions is called "Bump functions"
1/6
November 29, 2024 at 9:39 PM
The Gaussian is a nice bumpy shape, but sometimes we hope for a smooth (i.e. C∞) function like the Gaussian that is 𝒂𝒍𝒔𝒐 compactly supported.
One such class of functions is called "Bump functions"
1/6
One such class of functions is called "Bump functions"
1/6
⚛️ cuEquivariance ⚛️ is something I've been waiting for forever. Thank you Mario Geiger and team!
Curious to see where the "equivariance is just too slow" debate goes 👀
github.com/nvidia/cuequ...
Curious to see where the "equivariance is just too slow" debate goes 👀
github.com/nvidia/cuequ...
GitHub - NVIDIA/cuEquivariance: cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, ...
cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n...
github.com
November 21, 2024 at 9:47 PM
⚛️ cuEquivariance ⚛️ is something I've been waiting for forever. Thank you Mario Geiger and team!
Curious to see where the "equivariance is just too slow" debate goes 👀
github.com/nvidia/cuequ...
Curious to see where the "equivariance is just too slow" debate goes 👀
github.com/nvidia/cuequ...