Anier Velasco
@aniervs.bsky.social
from CS to Math
ML theory lead at Cohere for AI open science community
ML theory lead at Cohere for AI open science community
I feel the same about generating functions.
Taylor expansions are possibly the most useful tool in my toolbox. As a math undergrad, it felt really boring to practice how to use them, going through exercise after exercise, but frankly they're among the most versatile things I know.
(Once you have a hammer, everything looks like a polynomial)
(Once you have a hammer, everything looks like a polynomial)
January 28, 2025 at 10:50 PM
I feel the same about generating functions.
Cantor-Schröder-Bernstein's theorem tells that given sets A and B, if there're injective functions f : A → B and g : B → A, then there's a bijection h : A → B.
A famous proof, given by J. König is strikingly similar to the Khun's algorithm for max bipartite matching.
A famous proof, given by J. König is strikingly similar to the Khun's algorithm for max bipartite matching.
January 19, 2025 at 2:01 AM
Cantor-Schröder-Bernstein's theorem tells that given sets A and B, if there're injective functions f : A → B and g : B → A, then there's a bijection h : A → B.
A famous proof, given by J. König is strikingly similar to the Khun's algorithm for max bipartite matching.
A famous proof, given by J. König is strikingly similar to the Khun's algorithm for max bipartite matching.
Why do GATs work worse than MPNN for neural algorithmic reasoning?
(experiments done for “learning” Bellman-Ford’s algorithm)
Any light on that, NAR people?
(experiments done for “learning” Bellman-Ford’s algorithm)
Any light on that, NAR people?
December 28, 2024 at 1:02 AM
Why do GATs work worse than MPNN for neural algorithmic reasoning?
(experiments done for “learning” Bellman-Ford’s algorithm)
Any light on that, NAR people?
(experiments done for “learning” Bellman-Ford’s algorithm)
Any light on that, NAR people?
I loved this session with @mathildepapillon.bsky.social. Here it's the YouTube recording: youtu.be/g3fecArn-2A.
December 9, 2024 at 4:26 AM
I loved this session with @mathildepapillon.bsky.social. Here it's the YouTube recording: youtu.be/g3fecArn-2A.
Reposted by Anier Velasco
December 5th our ML theory group at Cohere For AI is hosting @mathildepapillon.bsky.social to discuss their recent review arxiv.org/abs/2407.09468 on geometric/topological/algebraic ML.
Join us online 💫
Join us online 💫
December 2, 2024 at 1:14 PM
December 5th our ML theory group at Cohere For AI is hosting @mathildepapillon.bsky.social to discuss their recent review arxiv.org/abs/2407.09468 on geometric/topological/algebraic ML.
Join us online 💫
Join us online 💫
Reposted by Anier Velasco
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
November 20, 2024 at 3:35 PM
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek