Lev Telyatnikov
@levtelyatnikov.bsky.social
Delighted to announce TopoBench has been accepted to DMLR! It’s a modular library for Topological Deep Learning, built to provide reproducible, cross-domain benchmarks and accelerate research. GitHub: github.com/geometric-in... #AI #DeepLearning
GitHub - geometric-intelligence/TopoBench: TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning - geometric-intelligence/TopoBench
github.com
August 25, 2025 at 5:22 PM
Delighted to announce TopoBench has been accepted to DMLR! It’s a modular library for Topological Deep Learning, built to provide reproducible, cross-domain benchmarks and accelerate research. GitHub: github.com/geometric-in... #AI #DeepLearning
Reposted by Lev Telyatnikov
TDL actually works at scale! And we believe 𝐇𝐎𝐏𝐒𝐄 lays the foundation for broad applications of TDL ✨
📭 Reach out for collaborations
Special thanks to @levtelyatnikov.bsky.social and @gbg1441 and the team @ninamiolane.bsky.social and @Coerulatus :)
(6/6)
📭 Reach out for collaborations
Special thanks to @levtelyatnikov.bsky.social and @gbg1441 and the team @ninamiolane.bsky.social and @Coerulatus :)
(6/6)
May 26, 2025 at 11:17 AM
TDL actually works at scale! And we believe 𝐇𝐎𝐏𝐒𝐄 lays the foundation for broad applications of TDL ✨
📭 Reach out for collaborations
Special thanks to @levtelyatnikov.bsky.social and @gbg1441 and the team @ninamiolane.bsky.social and @Coerulatus :)
(6/6)
📭 Reach out for collaborations
Special thanks to @levtelyatnikov.bsky.social and @gbg1441 and the team @ninamiolane.bsky.social and @Coerulatus :)
(6/6)
Reposted by Lev Telyatnikov
At last Topological Neural Networks are fast🚀
HOPSE builds an encoder for combinatorial complexes, enabling topological deep learning (TDL) w/o the usual computational cost.
A major step forward for TDL!
@martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social
HOPSE builds an encoder for combinatorial complexes, enabling topological deep learning (TDL) w/o the usual computational cost.
A major step forward for TDL!
@martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social
🚨Higher-order combinatorial models in TDL are notoriously slow and resource-hungry. Can we do better?
Introducing:
🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀
📝 arXiv: arxiv.org/abs/2505.15405
🧵 (1/6)
Introducing:
🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀
📝 arXiv: arxiv.org/abs/2505.15405
🧵 (1/6)
May 27, 2025 at 3:05 PM
At last Topological Neural Networks are fast🚀
HOPSE builds an encoder for combinatorial complexes, enabling topological deep learning (TDL) w/o the usual computational cost.
A major step forward for TDL!
@martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social
HOPSE builds an encoder for combinatorial complexes, enabling topological deep learning (TDL) w/o the usual computational cost.
A major step forward for TDL!
@martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social
Reposted by Lev Telyatnikov
🚨 New preprint from the lab!
Discover fast topological neural networks, that leverage higher order structures without the usual computational burden!
By @martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social @ninamiolane.bsky.social
Discover fast topological neural networks, that leverage higher order structures without the usual computational burden!
By @martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social @ninamiolane.bsky.social
May 27, 2025 at 3:17 PM
🚨 New preprint from the lab!
Discover fast topological neural networks, that leverage higher order structures without the usual computational burden!
By @martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social @ninamiolane.bsky.social
Discover fast topological neural networks, that leverage higher order structures without the usual computational burden!
By @martinca.bsky.social @gbg141.bsky.social @marcomonga.bsky.social @levtelyatnikov.bsky.social @ninamiolane.bsky.social
Absolutely proud of this work! Huge thanks to @gbg141.bsky.social @ninamiolane.bsky.social @marcomonga.bsky.social — and of course @martinca.bsky.social, who drove the project, learned on the fly, and kept the enthusiasm high at every turn!
🚨Higher-order combinatorial models in TDL are notoriously slow and resource-hungry. Can we do better?
Introducing:
🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀
📝 arXiv: arxiv.org/abs/2505.15405
🧵 (1/6)
Introducing:
🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀
📝 arXiv: arxiv.org/abs/2505.15405
🧵 (1/6)
May 26, 2025 at 12:01 PM
Absolutely proud of this work! Huge thanks to @gbg141.bsky.social @ninamiolane.bsky.social @marcomonga.bsky.social — and of course @martinca.bsky.social, who drove the project, learned on the fly, and kept the enthusiasm high at every turn!