Introducing "Causal Influence Decomposition" and trying it on an Echo State Network.
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Updated
May 23, 2022 - Jupyter Notebook
Introducing "Causal Influence Decomposition" and trying it on an Echo State Network.
EvoESN: a neuroevolutionary framework for the Echo State Network model
A package of simple reservoir computing tools
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Slides for the 26th International Conference on Computational Statistics (COMPSTAT 2024)
Repo for Bees outperform vertebrates in a delayed conditional learning task
Kaggle Toxic Comment Classification Challenge models (https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)
Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions
Computational Neuroscience models
Stochastic Processes Comparison of Accuracy: Data Assimilation, Echo State Machines and Nonlinear Vector Autoregressive Learning Methods. ### Comparing discrete and variational data assimilation methods to reservoir computing - machine learning for synthetic chaotic nonlinear dynamical systems
Human Activity Recognition using Echo State Networks.
Reservoir Networks or Echo State Networks jupyter notes
A simple Python implementation of EchoStateNetwork
Music generation with machine learning: Completing Bach's unfinished Contrapunctus XIV. A variety of models including linear regression, multilayer perceptrons and echo state networks are used as autoregressive models to take on the challenging time-series task.
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Federated Echo State Networks for Stress Prediction in the Automotive Use Case. Master Thesis in Artificial Intelligence @ University of Pisa
Notebooks, learning materials
ESN implementation of reservoir computing
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