Search Results for author: Guillaume de Romemont

Found 1 papers, 1 papers with code

Volume-Preserving Transformers for Learning Time Series Data with Structure

1 code implementation18 Dec 2023 Benedikt Brantner, Guillaume de Romemont, Michael Kraus, Zeyuan Li

Two of the many trends in neural network research of the past few years have been (i) the learning of dynamical systems, especially with recurrent neural networks such as long short-term memory networks (LSTMs) and (ii) the introduction of transformer neural networks for natural language processing (NLP) tasks.

Time Series

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