Bayesian factorization of joint categorical distributions for relational data and classical conditioning models. - Ingmar Schuster; Patrick Jähnichen (CoRR, 2014)

Probabilistic models of natural language semantics - Ingmar Schuster (2016)

Kernel Sequential Monte Carlo. - Ingmar Schuster; Heiko Strathmann; Brooks Paige; Dino Sejdinovic (ECML/PKDD (1), 2017)

Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions. - Stefan Klus; Sebastian Peitz; Ingmar Schuster (CoRR, 2018)

A kernel-based approach to molecular conformation analysis. - Stefan Klus; Andreas Bittracher; Ingmar Schuster; Christof Schütte (CoRR, 2018)

Set Flow: A Permutation Invariant Normalizing Flow. - Kashif Rasul; Ingmar Schuster; Roland Vollgraf; Urs Bergmann (CoRR, 2019)

Kernel Conditional Density Operators. - Ingmar Schuster; Mattes Mollenhauer; Stefan Klus; Krikamol Muandet (AISTATS, 2020)

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs Bergmann; Roland Vollgraf (CoRR, 2020)

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces. - Stefan Klus; Ingmar Schuster; Krikamol Muandet (J. Nonlinear Sci., 2020)

A Rigorous Theory of Conditional Mean Embeddings. - Ilja Klebanov; Ingmar Schuster; Timothy John Sullivan (SIAM J. Math. Data Sci., 2020)

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs M. Bergmann; Roland Vollgraf (ICLR, 2021)

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. - Kashif Rasul; Calvin Seward; Ingmar Schuster; Roland Vollgraf (ICML, 2021)

Markov Chain Importance Sampling - A Highly Efficient Estimator for MCMC. - Ingmar Schuster; Ilja Klebanov (J. Comput. Graph. Stat., 2021)

Feature space approximation for kernel-based supervised learning. - Patrick Gelß; Stefan Klus; Ingmar Schuster; Christof Schütte (Knowl. Based Syst., 2021)