Cover Image

Heuristically Adaptive Diffusion-Model Evolutionary Strategy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hartl, Benedikt, Zhang, Yanbo, Hazan, Hananel, Levin, Michael
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Models are Evolutionary Algorithms
by: Zhang, Yanbo, et al.
Published: (2024)

A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need
by: Hazan, Hananel, et al.
Published: (2026)

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
by: Benedikt Hartl, et al.
Published: (2026)

CR-BLEA: Contrastive Ranking for Adaptive Resource Allocation in Bilevel Evolutionary Algorithms
by: Xu, Dejun, et al.
Published: (2025)

Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
by: Yeung, Alexander, et al.
Published: (2025)

EOE: Evolutionary Optimization of Experts for Training Language Models
by: Chen, Yingshi
Published: (2025)

Mergenetic: a Simple Evolutionary Model Merging Library
by: Minut, Adrian Robert, et al.
Published: (2025)

Evolutionary Ensemble of Agents
by: Yu, Zongmin, et al.
Published: (2026)

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
by: Ghafariasl, Parviz, et al.
Published: (2024)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
by: Farias, Lucas R. C., et al.
Published: (2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)

EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
by: Tang, Rui, et al.
Published: (2026)

PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks
by: Merry, Michael, et al.
Published: (2024)

Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
by: Holliday, Andrew, et al.
Published: (2024)

An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
by: Afifi, Sohaib
Published: (2026)

Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
by: Pourcel, Julien, et al.
Published: (2025)

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
by: Song, Yanjie, et al.
Published: (2023)

Knowledge-aware Evolutionary Graph Neural Architecture Search
by: Wang, Chao, et al.
Published: (2024)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
by: Pei, Wenbin, et al.
Published: (2024)

MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
by: Mencattini, Tommaso, et al.
Published: (2025)

Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning
by: Lala, Aarav, et al.
Published: (2025)

Evolutionary Architecture Search through Grammar-Based Sequence Alignment
by: Martín, Adri Gómez, et al.
Published: (2025)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization
by: Wang, Rongzheng, et al.
Published: (2026)

Large Language Models As Evolution Strategies
by: Lange, Robert Tjarko, et al.
Published: (2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
by: Altmann, Philipp, et al.
Published: (2024)

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
by: Zhou, Ryan, et al.
Published: (2024)

Evolutionary fine tuning of quantized convolution-based deep learning models
by: Pietroń, Marcin
Published: (2026)

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
by: Chen, Kaiyuan, et al.
Published: (2024)

MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
by: Wang, Xubin, et al.
Published: (2024)

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)

Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense
by: Wang, Ren, et al.
Published: (2023)

CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
by: Zhang, Sibo, et al.
Published: (2026)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
by: Zhang, Qingquan, et al.
Published: (2022)

Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
by: Rubio-Solis, Adrian
Published: (2026)

Stein Variational Evolution Strategies
by: Braun, Cornelius V., et al.
Published: (2024)

Learning and Improving Backgammon Strategy
by: Galperin, Gregory R.
Published: (2025)

AI Olympics challenge with Evolutionary Soft Actor Critic
by: Calì, Marco, et al.
Published: (2024)

QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2026)