Copertina

Fast Clifford Neural Layers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xia, Tianxiang, Neuwinger, Max, Xiao, Lin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing Performance
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems
di: Ponzina, Flavio, et al.
Pubblicazione: (2024)

Performance Evaluation of Bitstring Representations in a Linear Genetic Programming Framework
di: Meli, Clyde, et al.
Pubblicazione: (2025)

HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms
di: Goula, Evgenia-Maria K., et al.
Pubblicazione: (2024)

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
di: Zhang, Jintao, et al.
Pubblicazione: (2024)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
di: Xiao, Mingqing, et al.
Pubblicazione: (2024)

A Resource Model For Neural Scaling Law
di: Song, Jinyeop, et al.
Pubblicazione: (2024)

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
di: Xiao, Mingqing, et al.
Pubblicazione: (2024)

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
di: Xiao, Mingqing, et al.
Pubblicazione: (2024)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

Element-wise Multiplication Based Deeper Physics-Informed Neural Networks
di: Jiang, Feilong, et al.
Pubblicazione: (2024)

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
di: Zhan, Tianxiang, et al.
Pubblicazione: (2024)

MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection
di: Shaeri, Pouya, et al.
Pubblicazione: (2025)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
di: Zhou, Changliang, et al.
Pubblicazione: (2025)

From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford's Geometric Algebra and Convexity
di: Pilanci, Mert
Pubblicazione: (2023)

Fast PINN Eigensolvers via Biconvex Reformulation
di: Banderwaar, Akshay Sai, et al.
Pubblicazione: (2025)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
di: Zhou, Changliang, et al.
Pubblicazione: (2024)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
di: Bano, Iqra, et al.
Pubblicazione: (2024)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
di: Zuo, Lin, et al.
Pubblicazione: (2024)

Fast Genetic Algorithm for feature selection -- A qualitative approximation approach
di: Altarabichi, Mohammed Ghaith, et al.
Pubblicazione: (2024)

PReLU: Yet Another Single-Layer Solution to the XOR Problem
di: Pinto, Rafael C., et al.
Pubblicazione: (2024)

Recursive Dynamics in Fast-Weights Homeostatic Reentry Networks: Toward Reflective Intelligence
di: Chae, B. G.
Pubblicazione: (2025)

Traveling Waves Encode the Recent Past and Enhance Sequence Learning
di: Keller, T. Anderson, et al.
Pubblicazione: (2023)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
di: Salvatori, Tommaso, et al.
Pubblicazione: (2022)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
di: Mazandarani, Mehran, et al.
Pubblicazione: (2025)

Neural Interpretable Reasoning
di: Barbiero, Pietro, et al.
Pubblicazione: (2025)

Probabilistic Neural Circuits
di: Martires, Pedro Zuidberg Dos
Pubblicazione: (2024)

Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit
di: Meng, Fanfei, et al.
Pubblicazione: (2023)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2024)

Causal Learning with Neural Assemblies
di: Kopadi, Evangelia, et al.
Pubblicazione: (2026)

Restricted Bayesian Neural Network
di: Ganguly, Sourav, et al.
Pubblicazione: (2024)

Polysemanticity and Capacity in Neural Networks
di: Scherlis, Adam, et al.
Pubblicazione: (2022)

Deep Oscillatory Neural Network
di: Rohan, Nurani Rajagopal, et al.
Pubblicazione: (2024)

Time Elastic Neural Networks
di: Marteau, Pierre-François
Pubblicazione: (2024)

Deep Neural Regression Collapse
di: Rangamani, Akshay, et al.
Pubblicazione: (2026)

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
di: Lindqvist, Björn A., et al.
Pubblicazione: (2024)

Sheaf Neural Networks and biomedical applications
di: Mehrab, Aneeqa, et al.
Pubblicazione: (2026)

Spark: Modular Spiking Neural Networks
di: Franco, Mario, et al.
Pubblicazione: (2026)

Continuous Spiking Graph Neural Networks
di: Yin, Nan, et al.
Pubblicazione: (2024)

Interpretable Neural-Symbolic Concept Reasoning
di: Barbiero, Pietro, et al.
Pubblicazione: (2023)

Feedback Favors the Generalization of Neural ODEs
di: Jia, Jindou, et al.
Pubblicazione: (2024)