Number of items: **10**.

## B

Boyko, V. and Krumscheid, S. and Vercauteren, N.
(2021)
*Statistical learning of non-linear stochastic differential equations from non-stationary time-series using variational clustering.*
.
.
(Submitted)

## C

Chew, Ray and Benacchio, Tommaso and Hastermann, Gottfried and Klein, Rupert
(2021)
*Balanced data assimilation with a blended numerical model.*
Monthly Weather Review
.
pp. 1-43.
(Submitted)

Cvetkovic, Nada and Conrad, T. O. F. and Lie, Han Cheng
(2021)
*A convergent discretisation method for transition path theory for diffusion processes.*
Multiscale Modeling & Simulation, 19
(1).
ISSN 15403467

## H

Helfmann, L. and Djurdjevac Conrad, N. and Djurdjevac, A. and Winkelmann, S. and Schütte, Ch.
(2021)
*From interacting agents to density-based modeling with stochastic PDEs.*
Commun. Appl. Math. Comput. Sci., 16
.
pp. 1-32.
ISSN Online: 2157-5452; Print: 1559-3940

## K

Kieninger, S. and Keller, B.
(2021)
*Path probability ratios for Langevin
dynamics—Exact and approximate.*
The Journal of Chemical Physics, 154
.
pp. 1-21.

## M

Mirahmadi, M. and Schmidt, B. and Friedrich, B.
(2021)
*Quantum dynamics of a planar rotor driven by suddenly switched combined aligning and orienting interactions.*
New Journal of Physics
.
ISSN 1367-2630
(Submitted)

## N

Nüsken, N. and Renger, M.
(2021)
*Stein Variational Gradient Descent:
many-particle and long-time asymptotics.*
arXive
.
pp. 1-25.
(Unpublished)

Nüsken, Nikolas and Renger, D.R. Michiel
(2021)
*Stein Variational Gradient Descent:many-particle and long-time asymptotics.*
arxiv preprint
.
pp. 1-25.
(Submitted)

## R

Richter, Lorenz and Sallandt, Leon and Nüsken, Nikolas
(2021)
*Solving high-dimensional parabolic PDEs using the tensor train format.*
arXiv
.
pp. 1-17.
(Unpublished)

## W

Weimann, K. and Conrad, T. O. F.
(2021)
*Transfer Learning for ECG Classification.*
Scientific Reports, 11
(5251).
ISSN 2045-2322

This list was generated on **Sat Apr 10 09:05:48 2021 CEST**.