Cover Image

Evolutionary Mapping of Neural Networks to Spatial Accelerators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pierro, Alessandro, Timcheck, Jonathan, Yik, Jason, Lindauer, Marius, Hüllermeier, Eyke, Wever, Marcel
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Compute and Communication Runtime Model for Loihi 2
by: Timcheck, Jonathan, et al.
Published: (2026)

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
by: Pierro, Alessandro, et al.
Published: (2025)

Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations
by: Zadeh-Jousdani, Darius Masoum, et al.
Published: (2025)

A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2
by: Mészáros, Balázs, et al.
Published: (2025)

Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)

G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

Phylogeny-Informed Interaction Estimation Accelerates Co-Evolutionary Learning
by: Garbus, Jack, et al.
Published: (2024)

Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
by: Liang, Zhenyu, et al.
Published: (2025)

Evolutionary Discovery of Sequence Acceleration Methods for Slab Geometry Neutron Transport
by: Patel, Japan K., et al.
Published: (2025)

A Hierarchical Importance-Guided Multi-objective Evolutionary Framework for Deep Neural Network Pruning
by: Khan, Zak, et al.
Published: (2026)

Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
by: Harder, Jonathan Gadea, et al.
Published: (2024)

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
by: Zhang, Jieyuan, et al.
Published: (2025)

Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures
by: Huynh, Phu Khanh, et al.
Published: (2025)

Mamba-PTQ: Outlier Channels in Recurrent Large Language Models
by: Pierro, Alessandro, et al.
Published: (2024)

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
by: Zhao, Jie, et al.
Published: (2024)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
by: Mishra, Abhishek, et al.
Published: (2024)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
by: Saeedi, Sepide, et al.
Published: (2022)

Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
by: Lv, Zeqiong, et al.
Published: (2024)

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
by: Holliday, Andrew, et al.
Published: (2024)

Elite Lanes: Evolutionary Generation of Realistic Small-Scale Road Networks
by: Morys-Magiera, Artur, et al.
Published: (2026)

Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
by: Lv, Zeqiong, et al.
Published: (2022)

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
by: Hajizada, Elvin, et al.
Published: (2025)

Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks
by: Caviglia, Alessio, et al.
Published: (2026)

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms
by: Hao, Hao, et al.
Published: (2024)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
by: Liu, Qianhui, et al.
Published: (2024)

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
by: Hajizada, Elvin, et al.
Published: (2026)

A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
by: Xue, Yu, et al.
Published: (2026)

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
by: Foreback, Max, et al.
Published: (2026)

Integrating Chaotic Evolutionary and Local Search Techniques in Decision Space for Enhanced Evolutionary Multi-Objective Optimization
by: Meng, Xiang
Published: (2024)

Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)

Evolutionary Optimization of Model Merging Recipes
by: Akiba, Takuya, et al.
Published: (2024)

Large Language Models as Evolutionary Optimizers
by: Liu, Shengcai, et al.
Published: (2023)

The Evolution of Learning Algorithms for Artificial Neural Networks
by: Baxter, Jonathan
Published: (2025)