EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Yuksel, Kamer Ali, Sawaf, Hassan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution
by: Yuksel, Kamer Ali, et al.
Published: (2025)
by: Yuksel, Kamer Ali, et al.
Published: (2025)
EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
by: Yuksel, Kamer Ali
Published: (2025)
by: Yuksel, Kamer Ali
Published: (2025)
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
by: Akkus, Talha Ruzgar, et al.
Published: (2026)
by: Akkus, Talha Ruzgar, et al.
Published: (2026)
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
by: Yuksel, Kamer Ali, et al.
Published: (2024)
by: Yuksel, Kamer Ali, et al.
Published: (2024)
AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics
by: Yuksel, Kamer Ali, et al.
Published: (2025)
by: Yuksel, Kamer Ali, et al.
Published: (2025)
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
by: Khrulkov, Valentin, et al.
Published: (2025)
by: Khrulkov, Valentin, et al.
Published: (2025)
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)
by: Zhao, Zhikai, et al.
Published: (2025)
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)
by: Du, He, et al.
Published: (2025)
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
by: Moghadam, Mehran Shoushtari, et al.
Published: (2025)
by: Moghadam, Mehran Shoushtari, et al.
Published: (2025)
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
by: Pei, Wenbin, et al.
Published: (2024)
by: Pei, Wenbin, et al.
Published: (2024)
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
by: Cong, Guojing, et al.
Published: (2025)
by: Cong, Guojing, et al.
Published: (2025)
EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
by: Tang, Rui, et al.
Published: (2026)
by: Tang, Rui, et al.
Published: (2026)
ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters
by: Yuksel, Kamer Ali, et al.
Published: (2025)
by: Yuksel, Kamer Ali, et al.
Published: (2025)
A Novel Machine Learning Classifier Based on Genetic Algorithms and Data Importance Reformatting
by: Alkhayyata, A. K., et al.
Published: (2024)
by: Alkhayyata, A. K., et al.
Published: (2024)
Dynamic Design of Machine Learning Pipelines via Metalearning
by: Alcobaça, Edesio, et al.
Published: (2025)
by: Alcobaça, Edesio, et al.
Published: (2025)
VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
by: Poursiami, Hamed, et al.
Published: (2025)
by: Poursiami, Hamed, et al.
Published: (2025)
EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)
by: Jiang, Yushu
Published: (2024)
On the Temperature of Machine Learning Systems
by: Zhang, Dong
Published: (2024)
by: Zhang, Dong
Published: (2024)
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024)
by: Wang, Limei, et al.
Published: (2024)
Fitness Approximation through Machine Learning
by: Tzruia, Itai, et al.
Published: (2023)
by: Tzruia, Itai, et al.
Published: (2023)
JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
Introduction to Predictive Coding Networks for Machine Learning
by: Stenlund, Mikko
Published: (2025)
by: Stenlund, Mikko
Published: (2025)
Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)
by: Pervez, Adeel, et al.
Published: (2024)
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
by: Qiu, Xin, et al.
Published: (2025)
by: Qiu, Xin, et al.
Published: (2025)
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
by: Kochnev, Roman, et al.
Published: (2025)
by: Kochnev, Roman, et al.
Published: (2025)
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
by: Mercer, Johnathan
Published: (2024)
by: Mercer, Johnathan
Published: (2024)
Brain-inspired Computational Intelligence via Predictive Coding
by: Salvatori, Tommaso, et al.
Published: (2023)
by: Salvatori, Tommaso, et al.
Published: (2023)
Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies
by: Patankar, Dhruv, et al.
Published: (2026)
by: Patankar, Dhruv, et al.
Published: (2026)
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)
by: Chen, Dong, et al.
Published: (2024)
A Novel Reservoir Computing Framework for Chaotic Time Series Prediction Using Time Delay Embedding and Random Fourier Features
by: Laha, S. K.
Published: (2025)
by: Laha, S. K.
Published: (2025)
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
by: Minhas, Mishal Fatima, et al.
Published: (2024)
by: Minhas, Mishal Fatima, et al.
Published: (2024)
Future Directions in the Theory of Graph Machine Learning
by: Morris, Christopher, et al.
Published: (2024)
by: Morris, Christopher, et al.
Published: (2024)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)
by: Lin, Subin, et al.
Published: (2025)
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
by: Dutta, Siddhant, et al.
Published: (2024)
by: Dutta, Siddhant, et al.
Published: (2024)
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
by: Bechler-Speicher, Maya, et al.
Published: (2025)
by: Bechler-Speicher, Maya, et al.
Published: (2025)
Stein Variational Evolution Strategies
by: Braun, Cornelius V., et al.
Published: (2024)
by: Braun, Cornelius V., et al.
Published: (2024)
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
by: Miao, Jiaxing, et al.
Published: (2024)
by: Miao, Jiaxing, et al.
Published: (2024)
Similar Items
-
AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution
by: Yuksel, Kamer Ali, et al.
Published: (2025) -
EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
by: Yuksel, Kamer Ali
Published: (2025) -
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
by: Akkus, Talha Ruzgar, et al.
Published: (2026) -
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
by: Yuksel, Kamer Ali, et al.
Published: (2024) -
AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics
by: Yuksel, Kamer Ali, et al.
Published: (2025)