117 citations · 398 across the 51 of their papers we have counts for
3 papers · 1 filter
Time Series Forecasting Using Manifold Learning
Panagiotis Papaioannou, Ronen Talmon, Ioannis Kevrekidis +1
We address a three-tier numerical framework based on manifold learning for the forecasting of high-dimensional time series. At the first step, we embed the time series into a reduc…
Identifying Topological Phase Transitions in Experiments Using Manifold Learning
Eran Lustig, Or Yair, Ronen Talmon +1
We demonstrate the identification and classification of topological phase transitions from experimental data using Diffusion Maps: a nonlocal unsupervised machine learning method.…
Joint Geometric and Topological Analysis of Hierarchical Datasets
Lior Aloni, Omer Bobrowski, Ronen Talmon
In a world abundant with diverse data arising from complex acquisition techniques, there is a growing need for new data analysis methods. In this paper we focus on high-dimensional…