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05/25/2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Unsupervised disentanglement is a long-standing challenge in representat...
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03/30/2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Disentangling complex data to its latent factors of variation is a funda...
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12/23/2022
Eigenvalue initialisation and regularisation for Koopman autoencoders
Regularising the parameter matrices of neural networks is ubiquitous in ...
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02/15/2021
A Koopman Approach to Understanding Sequence Neural Models
We introduce a new approach to understanding trained sequence neural mod...
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07/03/2020
Mode Decomposition for Homogeneous Symmetric Operators
Finding latent structures in data is drawing increasing attention in div...
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03/04/2020
Forecasting Sequential Data using Consistent Koopman Autoencoders
Recurrent neural networks are widely used on time series data, yet such ...
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09/29/2019
