HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers

ICLROral2026

Authors: Mohamed Malhou, Ludovic Perret, Kristin E. Lauter
Venue: ICLR 2026
Track: Oral

TL;DR

Efficient hierarchical attention transformers for learning to solve non-linear equations through by computing groebner bases.

Opening excerpt from the authors’ abstract. source

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Topics

transformer attention efficient

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