Co-occurring keywords · papers mentioning both
Papers
Bayesian Symbolic Regression with Entropic Reinforcement Learning
UAI 2026
Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows
AAAI 2026
MDBench: Benchmarking Data-Driven Methods for Model Discovery
AAAI 2026
Pixel2Phys: Distilling Governing Laws from Visual Dynamics
CVPR 2026
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
AAAI 2026
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
UAI 2026
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p
ICML 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
AAAI 2025
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
AISTATS 2025
Dimension Reduction for Symbolic Regression
AAAI 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
AAAI 2025
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
ICML 2025
Discovering Symmetries of ODEs by Symbolic Regression
AAAI 2025
FIND: A Framework for Discovering Formulas in Data
AAAI 2025
Improving Memory Efficiency for Training KANs via Meta Learning
ICML 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
AAAI 2025
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
ICLR 2025
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
AAAI 2025
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
ICLR 2025
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
AAAI 2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
AAAI 2025
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
AAAI 2025
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
ICML 2025
ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization
ICLR 2025
PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark
ICLR 2025