Felix Dietrich

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Technische Universität München ∙ Johns Hopkins University

Learning emergent PDEs in a learned emergent space

We extract data-driven, intrinsic spatial coordinates from observations ...
12/23/2020 ∙ by Felix P. Kemeth, et al. ∙ 93 ∙ share

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Transformations between deep neural networks

We propose to test, and when possible establish, an equivalence between ...
07/10/2020 ∙ by Tom Bertalan, et al. ∙ 0 ∙ share

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LOCA: LOcal Conformal Autoencoder for standardized data coordinates

We propose a deep-learning based method for obtaining standardized data ...
04/15/2020 ∙ by Erez Peterfreund, et al. ∙ 10 ∙ share

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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 ...
04/09/2020 ∙ by Or Yair, et al. ∙ 0 ∙ share

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On the Koopman operator of algorithms

A systematic mathematical framework for the study of numerical algorithm...
07/25/2019 ∙ by Felix Dietrich, et al. ∙ 0 ∙ share

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A geometric approach to the transport of discontinuous densities

Different observations of a relation between inputs ("sources") and outp...
07/18/2019 ∙ by Caroline Moosmüller, et al. ∙ 0 ∙ share

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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...
06/03/2019 ∙ by Or Yair, et al. ∙ 0 ∙ share

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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...
12/16/2018 ∙ by Seungjoon Lee, et al. ∙ 0 ∙ share

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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...
11/01/2015 ∙ by Daniel H. Biedermann, et al. ∙ 0 ∙ share

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Felix Dietrich

Featured Co-authors

George Em Karniadakis

Ronen Talmon

Ioannis G. Kevrekidis

Ofir Lindenbaum

Ronald R. Coifman

Matan Gavish

Tom Bertalan

Felix P. Kemeth

Erez Peterfreund

Or Yair

Rotem Mulayoff

Learning emergent PDEs in a learned emergent space

Transformations between deep neural networks

LOCA: LOcal Conformal Autoencoder for standardized data coordinates

Spectral Discovery of Jointly Smooth Features for Multimodal Data

On the Koopman operator of algorithms

A geometric approach to the transport of discontinuous densities

Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation

Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion

Using Raspberry Pi for scientific video observation of pedestrians during a music festival