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Symbolic Regression
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producing a mathematical expression (symbolic expression) that fits a given tabular data.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Discovering the underlying analytic structure within Standard Model constants using artificial intelligence
H-FEX: A Symbolic Learning Method for Hamiltonian Systems
Evaluating PDE discovery methods for multiscale modeling of biological signals
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum
Improving Memory Efficiency for Training KANs via Meta Learning
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience
Diffusion-Based Symbolic Regression
Automated Modeling Method for Pathloss Model Discovery
Symbolic Foundation Regressor on Complex Networks
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression
Governing Equation Discovery from Data Based on Differential Invariants
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
Interpretable Robotic Friction Learning via Symbolic Regression
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
On the definition and importance of interpretability in scientific machine learning
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
UniSymNet: A Unified Symbolic Network Guided by Transformer
Call for Action: towards the next generation of symbolic regression benchmark
Thinking Outside the Template with Modular GP-GOMEA
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Large Language Models as Particle Swarm Optimizers
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search
Better Decisions through the Right Causal World Model
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
Discovering dynamical laws for speech gestures
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.