Imagen de Portada

Quantum Simplicial Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Piperno, Simone, Battiloro, Claudio, Ceschini, Andrea, Dominici, Francesca, Di Lorenzo, Paolo, Panella, Massimo
Formato:	Preprint
Publicado:	2025
Materias:	Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

E(n) Equivariant Topological Neural Networks
por: Battiloro, Claudio, et al.
Publicado: (2024)

Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
por: Rivelli, Francesca, et al.
Publicado: (2025)

Energy efficiency analysis of Spiking Neural Networks for space applications
por: Lunghi, Paolo, et al.
Publicado: (2025)

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
por: Pes, Lorenzo, et al.
Publicado: (2024)

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

Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
por: Aguettaz, Hugo, et al.
Publicado: (2024)

Frequency Matching in Spiking Neural Networks for mmWave Sensing
por: Yu, Di, et al.
Publicado: (2026)

Expressivity of Spiking Neural Networks
por: Singh, Manjot, et al.
Publicado: (2023)

A Review on Zeroing Neural Networks
por: Jiang, Chengze, et al.
Publicado: (2025)

Functional Connectivity Graph Neural Networks
por: Li, Yang, et al.
Publicado: (2025)

Fractional-order Spiking Neural Network
por: Ge, Chengjie, et al.
Publicado: (2025)

Robust Stable Spiking Neural Networks
por: Ding, Jianhao, et al.
Publicado: (2024)

Parallel Training in Spiking Neural Networks
por: Huang, Yanbin, et al.
Publicado: (2026)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
por: Chen, Xinyi, et al.
Publicado: (2023)

Convolutional Spiking Neural Network for Image Classification
por: Kiselev, Mikhail, et al.
Publicado: (2025)

Expand-and-Cluster: Parameter Recovery of Neural Networks
por: Martinelli, Flavio, et al.
Publicado: (2023)

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

Photonic Neural Networks: A Compact Review
por: Ahmadi, Mohammad, et al.
Publicado: (2023)

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

Direct-to-Event Spiking Neural Network Transfer
por: Luu, Nhan Trong, et al.
Publicado: (2026)

Inferno: An Extensible Framework for Spiking Neural Networks
por: Dominijanni, Marissa
Publicado: (2024)

Evolutionary Mapping of Neural Networks to Spatial Accelerators
por: Pierro, Alessandro, et al.
Publicado: (2026)

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

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
por: Ma, Chenxiang, et al.
Publicado: (2025)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
por: Chen, Zhenhui, et al.
Publicado: (2025)

Sustainable AI: Mathematical Foundations of Spiking Neural Networks
por: Fono, Adalbert, et al.
Publicado: (2025)

Sigma-Delta Neural Network Conversion on Loihi 2
por: Brehove, Matthew, et al.
Publicado: (2025)

Workload-Balanced Pruning for Sparse Spiking Neural Networks
por: Yin, Ruokai, et al.
Publicado: (2023)

FOXANN: A Method for Boosting Neural Network Performance
por: Jumaah, Mahmood A., et al.
Publicado: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
por: Jiang, Yi, et al.
Publicado: (2024)

Spiking Neural Network Phase Encoding for Cognitive Computing
por: Zhang, Lei
Publicado: (2024)

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
por: Chen, Jiechen, et al.
Publicado: (2025)

A Spiking Neural Network Implementation of Gaussian Belief Propagation
por: Adamiat, Sepideh, et al.
Publicado: (2025)

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
por: Hua, Yuan, et al.
Publicado: (2025)

Full Integer Arithmetic Online Training for Spiking Neural Networks
por: Gomez, Ismael, et al.
Publicado: (2025)

A Quantifier-Reversal Approximation Paradigm for Recurrent Neural Networks
por: Hutter, Clemens, et al.
Publicado: (2025)

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

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
por: Makenali, Sara, et al.
Publicado: (2025)

Efficient Event-based Delay Learning in Spiking Neural Networks
por: Mészáros, Balázs, et al.
Publicado: (2025)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
por: Li, Yang, et al.
Publicado: (2024)