Papers
1–3 of 3Research Paper·Jan 21, 2026
Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning
Symbolic Regression aims to automatically identify compact and interpretable mathematical expressions that model the functional relationship between input and output variables. Most existing search-ba...
7.0 viability
Research Paper·Feb 3, 2026·B2B
Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models
Following their success across many domains, transformers have also proven effective for symbolic regression (SR); however, the internal mechanisms underlying their generation of mathematical operator...
4.0 viability
Research Paper·Feb 13, 2026
Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
Symbolic Regression (SR) aims to discover interpretable equations from observational data, with the potential to reveal underlying principles behind natural phenomena. However, existing approaches oft...
3.0 viability