Symbolic Regression

Bayesian Symbolic Regression with Entropic Reinforcement Learning UAI 2026 BGCL:Learning Constitutive Laws for System Identification L4DC 2026 Pixel2Phys: Distilling Governing Laws from Visual Dynamics CVPR 2026 VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees UAI 2026 Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression AISTATS 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 Interpretable Solutions for Multi-Physics PDEs Using T-NNGP AAAI 2025 Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning AAAI 2025 PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark ICLR 2025 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms ICLR 2023 Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search ICLR 2023 Transformer-based Planning for Symbolic Regression NeurIPS 2023 CoNSoLe: Convex Neural Symbolic Learning NeurIPS 2022 D-CODE: Discovering Closed-form ODEs from Observed Trajectories ICLR 2022 LGML: Logic Guided Machine Learning (Student Abstract) AAAI 2020