Search Results for author: Peter Steiner

Found 3 papers, 2 papers with code

Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion

no code implementations9 May 2024 Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen

This paper introduces a groundbreaking multimodal neural network model designed for resolution enhancement, which innovatively leverages inter-diagnostic correlations within a system.

Image Enhancement Super-Resolution

PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks

2 code implementations8 Mar 2021 Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz

In this paper, we show how to uniformly describe RCNs with small and clearly defined building blocks, and we introduce the Python toolbox PyRCN (Python Reservoir Computing Networks) for optimizing, training and analyzing RCNs on arbitrarily large datasets.

Time Series Time Series Prediction

Cluster-based Input Weight Initialization for Echo State Networks

1 code implementation8 Mar 2021 Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Echo State Networks (ESNs) are a special type of recurrent neural networks (RNNs), in which the input and recurrent connections are traditionally generated randomly, and only the output weights are trained.

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