Ingmar Schuster | DeepAI

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Featured Co-authors

Dino Sejdinovic
66 publications
Krikamol Muandet
41 publications
Brooks Paige
31 publications
T. J. Sullivan
26 publications
Stefan Klus
21 publications
Heiko Strathmann
17 publications
Urs Bergmann
16 publications
Roland Vollgraf
15 publications
Kashif Rasul
12 publications
Christof Schütte
12 publications
Ilja Klebanov
11 publications

∙ 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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