Copertina

Universality of Real Minimal Complexity Reservoir

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fong, Robert Simon, Li, Boyu, Tiňo, Peter
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Simple Cycle Reservoirs are Universal
di: Li, Boyu, et al.
Pubblicazione: (2023)

Predictive Modeling in the Reservoir Kernel Motif Space
di: Tino, Peter, et al.
Pubblicazione: (2024)

Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals
di: Fong, Robert Simon, et al.
Pubblicazione: (2024)

Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization
di: Li, Ziqiang, et al.
Pubblicazione: (2025)

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

Sharpness-Aware Minimization and the Edge of Stability
di: Long, Philip M., et al.
Pubblicazione: (2023)

Time Shifts to Reduce the Size of Reservoir Computers
di: Carroll, Thomas L., et al.
Pubblicazione: (2022)

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach
di: D'Inverno, Giuseppe Alessio, et al.
Pubblicazione: (2024)

Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
di: Biswas, Anmol, et al.
Pubblicazione: (2024)

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
di: Horuz, Coşku Can, et al.
Pubblicazione: (2026)

Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
di: Asanjan, Ata Akbari, et al.
Pubblicazione: (2026)

ReLiCADA -- Reservoir Computing using Linear Cellular Automata Design Algorithm
di: Kantic, Jonas, et al.
Pubblicazione: (2023)

Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
di: Lyu, Zimeng, et al.
Pubblicazione: (2024)

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
di: Fu, Rong, et al.
Pubblicazione: (2026)

Sharpness-Aware Minimization in Genetic Programming
di: Bakurov, Illya, et al.
Pubblicazione: (2024)

Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
di: Orvieto, Antonio, et al.
Pubblicazione: (2023)

Reservoir Computing via Multi-Scale Random Fourier Features for Forecasting Fast-Slow Dynamical Systems
di: Laha, S. K.
Pubblicazione: (2025)

Active Sensing with Predictive Coding and Uncertainty Minimization
di: Sharafeldin, Abdelrahman, et al.
Pubblicazione: (2023)

Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
di: Horuz, Coşku Can, et al.
Pubblicazione: (2025)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
di: Zhang, Hengzhe, et al.
Pubblicazione: (2024)

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
di: Lyu, Zimeng, et al.
Pubblicazione: (2024)

Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network
di: Li, Ziqing, et al.
Pubblicazione: (2026)

Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
di: Fong, Iat Hang, et al.
Pubblicazione: (2025)

Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization
di: Zhang, Hengzhe, et al.
Pubblicazione: (2026)

Evolving Reservoirs for Meta Reinforcement Learning
di: Léger, Corentin, et al.
Pubblicazione: (2023)

Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks
di: Zhang, Xianyang, et al.
Pubblicazione: (2024)

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
di: Gopalakrishnan, Anand, et al.
Pubblicazione: (2024)

Universality of reservoir systems with recurrent neural networks
di: Yasumoto, Hiroki, et al.
Pubblicazione: (2024)

On the Universal Representation Property of Spiking Neural Networks
di: Hundrieser, Shayan, et al.
Pubblicazione: (2025)

Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models
di: Haut, Nathan, et al.
Pubblicazione: (2025)

Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm
di: Komorniczak, Joanna
Pubblicazione: (2025)

Reservoir Computing Benchmarks: a tutorial review and critique
di: Wringe, Chester, et al.
Pubblicazione: (2024)

Insect-Wing Structured Microfluidic System for Reservoir Computing
di: Clouse, Jacob, et al.
Pubblicazione: (2025)

Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
di: Srinivasan, Keshav, et al.
Pubblicazione: (2025)

Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks
di: Valle, Marcos Eduardo, et al.
Pubblicazione: (2024)

Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting
di: Melot, Alexis, et al.
Pubblicazione: (2025)

Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks
di: Valle, Marcos Eduardo
Pubblicazione: (2023)

Posterior Distribution-assisted Evolutionary Dynamic Optimization as an Online Calibrator for Complex Social Simulations
di: Yang, Peng, et al.
Pubblicazione: (2026)

Scaling can lead to compositional generalization
di: Redhardt, Florian, et al.
Pubblicazione: (2025)

Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithms on Smooth Functions
di: Ye, Haishan
Pubblicazione: (2025)