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Learning emergent PDEs in a learned emergent space
We extract data-driven, intrinsic spatial coordinates from observations ...
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Transformations between deep neural networks
We propose to test, and when possible establish, an equivalence between ...
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LOCA: LOcal Conformal Autoencoder for standardized data coordinates
We propose a deep-learning based method for obtaining standardized data ...
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Spectral Discovery of Jointly Smooth Features for Multimodal Data
In this paper, we propose a spectral method for deriving functions that ...
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On the Koopman operator of algorithms
A systematic mathematical framework for the study of numerical algorithm...
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A geometric approach to the transport of discontinuous densities
Different observations of a relation between inputs ("sources") and outp...
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Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation
The problem of domain adaptation has become central in many applications...
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Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion
In statistical modeling with Gaussian Process regression, it has been sh...
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Using Raspberry Pi for scientific video observation of pedestrians during a music festival
The document serves as a reference for researchers trying to capture a l...
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