Summary of A Multi-branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours, by Aarush Sinha
A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behavioursby Aarush SinhaFirst submitted to…
A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behavioursby Aarush SinhaFirst submitted to…
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Regionby Haijie Xu, Xiaochen Xian,…
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methodsby Xiangfei Qiu, Jilin Hu,…
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstructionby Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen…
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computerby Debdipta GoswamiFirst submitted…
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selectionby Ali Behrouz, Michele…
Swarm Characteristics Classification Using Neural Networksby Donald W. Peltier III, Isaac Kaminer, Abram Clark, Marko…
Constants of Motion for Conserved and Non-conserved Dynamicsby Michael F. ZimmerFirst submitted to arxiv on:…
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecastingby Mandani Ntekouli, Gerasimos Spanakis,…
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systemsby Ravi Chepuri,…