ICML Showcases Scalable Equivariant Platonic Transformers

A research team presented a new project named Platonic Transformers at the ICML 2026 conference, accompanied by a paper and open-source code. Core team members include @Dafidof. This research proposes a novel equivariant Transformer architecture primarily aimed at scientific computing scenarios that require processing symmetric data.

Key Features

The core goal of this architecture is to fully preserve the speed and simplicity of standard Transformers while introducing equivariance. The authors emphasize that Platonic Transformers achieve true scalability, offering a simple, effective, and scalable design.

On-site Exhibition

During the ICML conference, the research team presented their work at poster number 2614 in Hall A, engaging with attendees to discuss the details and applications of the method.

2026-07-08 ~ 2026-07-09 · 5 related posts