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03/16/2023
Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
Reservoir computing (RC), a particular form of recurrent neural network,...
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02/03/2023
Symbiosis of an artificial neural network and models of biological neurons: training and testing
In this paper we show the possibility of creating and identifying the fe...
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11/02/2021
The climatic interdependence of extreme-rainfall events around the globe
The identification of regions of similar climatological behavior can be ...
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08/18/2021
Predicting Dynamic Stability of Power Grids using Graph Neural Networks
The prediction of dynamical stability of power grids becomes more import...
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11/29/2020
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
Semantic segmentation and depth completion are two challenging tasks in ...
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03/29/2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
With widespread applications of artificial intelligence (AI), the capabi...
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09/15/2019
Machine Discovery of Partial Differential Equations from Spatiotemporal Data
The study presents a general framework for discovering underlying Partia...
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09/19/2018
Deterministic limit of temporal difference reinforcement learning for stochastic games
Reinforcement learning in multi-agent systems has been studied in the fi...
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06/18/2015
Optimal model-free prediction from multivariate time series
Forecasting a time series from multivariate predictors constitutes a cha...
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10/09/2012