conftrace_

genetic programming

35 papers

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Also known as

GP

Co-occurring keywords · papers mentioning both

symbolic regression (12) evolutionary algorithm (9) neural network (4) large language model (3) equation discovery (3) neural architecture search (3) reinforcement learning (3) zero-cost proxy (2) neural-guided search (2) partial differential equation (2)

Papers

Cognitive Alpha Mining via LLM-Driven Code-Based Evolution ACL 2026 Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026 Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis AAAI 2026 (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025 AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025 Decision Tree Induction Through LLMs via Semantically-Aware Evolution ICLR 2025 Interpretable Solutions for Multi-Physics PDEs Using T-NNGP AAAI 2025 Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025 ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization ICLR 2025 Search Strategy Generation for Branch and Bound Using Genetic Programming AAAI 2025 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures ICLR 2024 Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring IJCAI 2024 LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024 Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models ICML 2024 Racing Control Variable Genetic Programming for Symbolic Regression AAAI 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 Transformer-based Planning for Symbolic Regression NeurIPS 2023 A Unified Framework for Deep Symbolic Regression NeurIPS 2022 End-to-end Symbolic Regression with Transformers NeurIPS 2022 EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring NeurIPS 2022 Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes IJCAI 2022