Repository: Freie Universität Berlin, Math Department

Items where Year is 2021

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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 (Unpublished)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 (Unpublished)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.