Ingmar Schuster | DeepAI

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Featured Co-authors

Dino Sejdinovic
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Krikamol Muandet
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Brooks Paige
31 publications
T. J. Sullivan
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Stefan Klus
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Heiko Strathmann
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Urs Bergmann
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Roland Vollgraf
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Kashif Rasul
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Christof Schütte
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Ilja Klebanov
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∙ 01/28/2021

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

In this work, we propose TimeGrad, an autoregressive model for multivari...

15 Kashif Rasul, et al. ∙

∙ 11/25/2020

Feature space approximation for kernel-based supervised learning

We propose a method for the approximation of high- or even infinite-dime...

0 Patrick Gelß, et al. ∙

∙ 02/14/2020

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Time series forecasting is often fundamental to scientific and engineeri...

7 Kashif Rasul, et al. ∙

∙ 12/02/2019

A Rigorous Theory of Conditional Mean Embeddings

Conditional mean embeddings (CME) have proven themselves to be a powerfu...

0 Ilja Klebanov, et al. ∙

∙ 09/06/2019

Set Flow: A Permutation Invariant Normalizing Flow

We present a generative model that is defined on finite sets of exchange...

0 Kashif Rasul, et al. ∙

∙ 05/27/2019

Kernel Conditional Density Operators

We introduce a conditional density estimation model termed the condition...

0 Ingmar Schuster, et al. ∙

∙ 09/28/2018

A kernel-based approach to molecular conformation analysis

We present a novel machine learning approach to understanding conformati...

2 Stefan Klus, et al. ∙

∙ 07/24/2018

Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces

Reproducing kernel Hilbert spaces (RKHSs) play an important role in many...

0 Mattes Mollenhauer, et al. ∙

∙ 05/18/2018

Markov Chain Importance Sampling - a highly efficient estimator for MCMC

Markov chain algorithms are ubiquitous in machine learning and statistic...

0 Ingmar Schuster, et al. ∙

∙ 12/07/2017

Exact active subspace Metropolis-Hastings, with applications to the Lorenz-96 system

We consider the application of active subspaces to inform a Metropolis-H...

0 Ingmar Schuster, et al. ∙

∙ 12/05/2017

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Transfer operators such as the Perron-Frobenius or Koopman operator play...

0 Stefan Klus, et al. ∙

∙ 10/11/2015

Kernel Sequential Monte Carlo

We propose kernel sequential Monte Carlo (KSMC), a framework for samplin...

0 Ingmar Schuster, et al. ∙

∙ 02/18/2014

A Bayesian Model of node interaction in networks

We are concerned with modeling the strength of links in networks by taki...

0 Ingmar Schuster, et al. ∙

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